[1] "ofn"        "-oTPAAD-TP"
[1] "opt"                    "-OPAGGREGRATED_CLUSTER"
[1] "tl" ""  
[1] "dx" ""  
[1] "opt"                 "AGGREGRATED_CLUSTER"
[1] "dx" ""  
[1] "cfn:"
[1] "/xchip/cga/gdac-prod/tcga-gdac/jobResults/Append_Data/PAAD-TP/19775410/PAAD-TP.merged_data.txt"
[1] "dfn:"
[1] "/xchip/cga/gdac-prod/tcga-gdac/jobResults/GDAC_mergedClustering/PAAD-TP/20139891/PAAD-TP.mergedcluster.txt"

nPatients in clinical file=185, in cluster file=185, common to both=185
[1]  10 185
[1] "CN_CNMF"
[1] 3
 1  2  3 
85 75 24 
 1  2  3 
85 75 24 
[1] "METHLYATION_CNMF"
[1] 3
 1  2  3  4 
45 48 50 41 
 1  2  3  4 
45 48 50 41 
[1] "RPPA_CNMF"
[1] 3
 1  2  3  4  5 
40 25 20 15 23 
 1  2  3  4  5 
40 25 20 15 23 
[1] "RPPA_CHIERARCHICAL"
[1] 3
 1  2  3  4  5 
48 25 16 16 18 
 1  2  3  4  5 
48 25 16 16 18 
[1] "MRNASEQ_CNMF"
[1] 3
 1  2  3 
83 49 46 
 1  2  3 
83 49 46 
[1] "MRNASEQ_CHIERARCHICAL"
[1] 3
 1  2  3 
75 75 28 
 1  2  3 
75 75 28 
[1] "MIRSEQ_CNMF"
[1] 3
 1  2  3  4 
69 41 35 33 
 1  2  3  4 
69 41 35 33 
[1] "MIRSEQ_CHIERARCHICAL"
[1] 3
  1   2   3 
102  43  33 
  1   2   3 
102  43  33 
[1] "MIRSEQ_MATURE_CNMF"
[1] 3
 1  2  3 
69 68 37 
 1  2  3 
69 68 37 
[1] "MIRSEQ_MATURE_CHIERARCHICAL"
[1] 3
 1  2  3 
86 48 40 
 1  2  3 
86 48 40 
[1] "data2feature, selection=ALL"
 [1] "YEARS_TO_BIRTH"                      
 [2] "VITAL_STATUS"                        
 [3] "DAYS_TO_DEATH"                       
 [4] "DAYS_TO_LAST_FOLLOWUP"               
 [5] "TUMOR_TISSUE_SITE"                   
 [6] "PATHOLOGIC_STAGE"                    
 [7] "PATHOLOGY_T_STAGE"                   
 [8] "PATHOLOGY_N_STAGE"                   
 [9] "PATHOLOGY_M_STAGE"                   
[10] "GENDER"                              
[11] "DATE_OF_INITIAL_PATHOLOGIC_DIAGNOSIS"
[12] "RADIATION_THERAPY"                   
[13] "HISTOLOGICAL_TYPE"                   
[14] "NUMBER_PACK_YEARS_SMOKED"            
[15] "YEAR_OF_TOBACCO_SMOKING_ONSET"       
[16] "RESIDUAL_TUMOR"                      
[17] "NUMBER_OF_LYMPH_NODES"               
[18] "RACE"                                
[19] "ETHNICITY"                           

Input Data has 19 rows and 185 columns.

[1] "Last Follow UP"
Variable 1:'YEARS_TO_BIRTH':	nDistinctValues=46,	numeric=TRUE,	binary=FALSE,	exclude=FALSE.
Variable 2:'VITAL_STATUS':	nDistinctValues=2,	numeric=TRUE,	binary=TRUE,	exclude=FALSE.
Variable 3:'DAYS_TO_DEATH':	nDistinctValues=92,	numeric=TRUE,	binary=FALSE,	exclude=TRUE.
[1] "exclude grep('DAYS_?TO', vnms) to deal with survival parameters seperately"
Variable 4:'DAYS_TO_LAST_FOLLOWUP':	nDistinctValues=111,	numeric=TRUE,	binary=FALSE,	exclude=TRUE.
[1] "exclude grep('FOLLOWUP', vnms) to deal with survival parameters seperately"
Variable 5:'TUMOR_TISSUE_SITE':	nDistinctValues=1,	numeric=FALSE,	binary=FALSE,	exclude=TRUE.
[1] "TUMOR_TISSUE_SITE is excluded in the analysis because there is no more than two cases of (unique non-NA values)"
Variable 6:'PATHOLOGIC_STAGE':	nDistinctValues=7,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 7:'PATHOLOGY_T_STAGE':	nDistinctValues=5,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 8:'PATHOLOGY_N_STAGE':	nDistinctValues=4,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 9:'PATHOLOGY_M_STAGE':	nDistinctValues=3,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 10:'GENDER':	nDistinctValues=2,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 11:'DATE_OF_INITIAL_PATHOLOGIC_DIAGNOSIS':	nDistinctValues=8,	numeric=TRUE,	binary=FALSE,	exclude=TRUE.
[1] "exclude grep('DATE', vnms) to deal with survival parameters seperately"
Variable 12:'RADIATION_THERAPY':	nDistinctValues=2,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 13:'HISTOLOGICAL_TYPE':	nDistinctValues=4,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 14:'NUMBER_PACK_YEARS_SMOKED':	nDistinctValues=31,	numeric=TRUE,	binary=FALSE,	exclude=FALSE.
Variable 15:'YEAR_OF_TOBACCO_SMOKING_ONSET':	nDistinctValues=30,	numeric=TRUE,	binary=FALSE,	exclude=FALSE.
Variable 16:'RESIDUAL_TUMOR':	nDistinctValues=4,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 17:'NUMBER_OF_LYMPH_NODES':	nDistinctValues=16,	numeric=TRUE,	binary=FALSE,	exclude=FALSE.
Variable 18:'RACE':	nDistinctValues=3,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 19:'ETHNICITY':	nDistinctValues=2,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
[1] "## **** detect survival parameters (defined in index such as ind_OS, ind_MFS, ind_RFS, ind_RFS, ind_BCR and ind_d2ssd) *** ##"
[1] "detected survival parameters using [ind_OS, overall_survival]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using [ind_OS, curated_overall_survival]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using [ind_TCGAOS]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survivial parameters using [ind_MFS]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using [ind_RFS]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using [ind_BCR]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using [ind_Progression]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using [index_additional_survival_time]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "detected survival parameters using condition: [is.null(surv.mat)&&(selection=='SURV')]"
[1] "survival parameters accumulated so far"
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "************ conversion from categorical data to rank data ********** "
[1] "PATHOLOGY_T_STAGE is converted to numeric rank data using modified categoies"
[1] "PATHOLOGY_N_STAGE is converted to numeric rank data using modified categoies"
[1] "PATHOLOGY_M_STAGE is converted to rank data using modified categoies"
[1] "****** SUMMARY ***** "
Output Data has 185 columns, 1 survival variables, and 14 non-survival variables.
[1] "* survival variables: "
[1] "DAYS_TO_DEATH_OR_LAST_FUP" "VITAL_STATUS"             
[1] "* non-survival variables: "
 [1] "YEARS_TO_BIRTH"                "PATHOLOGIC_STAGE"             
 [3] "PATHOLOGY_T_STAGE"             "PATHOLOGY_N_STAGE"            
 [5] "PATHOLOGY_M_STAGE"             "GENDER"                       
 [7] "RADIATION_THERAPY"             "HISTOLOGICAL_TYPE"            
 [9] "NUMBER_PACK_YEARS_SMOKED"      "YEAR_OF_TOBACCO_SMOKING_ONSET"
[11] "RESIDUAL_TUMOR"                "NUMBER_OF_LYMPH_NODES"        
[13] "RACE"                          "ETHNICITY"                    
YEARS_TO_BIRTH, nv=46, binary=FALSE, numeric=TRUE
PATHOLOGIC_STAGE, nv=7, binary=FALSE, numeric=FALSE
PATHOLOGY_T_STAGE, nv=4, binary=FALSE, numeric=TRUE
[1] "grepl('PATHOLOGY.T',vnm)"
vv
 T1  T2  T3  T4 
  7  24 148   4 
[1] "table(vv)"
vv
 T1  T2  T3  T4 
  7  24 148   4 
$ClinVariableName
[1] "PATHOLOGY_T_STAGE"

$Table
vv
 T1  T2  T3  T4 
  7  24 148   4 

$nClasses
[1] 4

$ClinVariableType
[1] "multiclass(4)"


 T1  T2  T3  T4 
  7  24 148   4 
PATHOLOGY_N_STAGE, nv=2, binary=FALSE, numeric=TRUE
PATHOLOGY_M_STAGE, nv=2, binary=FALSE, numeric=TRUE
GENDER, nv=2, binary=FALSE, numeric=FALSE
RADIATION_THERAPY, nv=2, binary=FALSE, numeric=FALSE
HISTOLOGICAL_TYPE, nv=4, binary=FALSE, numeric=FALSE
NUMBER_PACK_YEARS_SMOKED, nv=31, binary=FALSE, numeric=TRUE
YEAR_OF_TOBACCO_SMOKING_ONSET, nv=30, binary=FALSE, numeric=TRUE
RESIDUAL_TUMOR, nv=4, binary=FALSE, numeric=FALSE
NUMBER_OF_LYMPH_NODES, nv=16, binary=FALSE, numeric=TRUE
RACE, nv=3, binary=FALSE, numeric=FALSE
ETHNICITY, nv=2, binary=FALSE, numeric=FALSE

Clustering(1) Variable = CN_CNMF
D1V1, survival
          sevent
clus2       0  1
  subtype1 42 41
  subtype2 32 43
  subtype3 12 12
subtype1 subtype2 subtype3 
      83       75       24 
subtype1 subtype2 subtype3 
      41       43       12 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB9 TCGA-2J-AABA TCGA-2J-AABK TCGA-2J-AABP TCGA-2J-AABR 
        2.17        20.61        19.96        15.91        15.22        14.40 
TCGA-2J-AABV TCGA-3A-A9I5 TCGA-3A-A9I7 TCGA-3A-A9IJ TCGA-3A-A9IR TCGA-3A-A9IX 
       21.44        58.98        43.50        60.95        50.70        34.09 
TCGA-3E-AAAY TCGA-3E-AAAZ TCGA-F2-6880 TCGA-F2-7273 TCGA-F2-7276 TCGA-F2-A44G 
       75.12        71.74         9.50        19.46         7.10         7.66 
TCGA-F2-A44H TCGA-FB-A4P5 TCGA-FB-A5VM TCGA-FB-A7DR TCGA-FB-AAPS TCGA-FB-AAPY 
       19.27         5.88        16.37        11.61         7.50        34.82 
TCGA-FZ-5919 TCGA-FZ-5922 TCGA-FZ-5923 TCGA-FZ-5926 TCGA-H6-A45N TCGA-HV-A5A4 
       24.36        36.20        20.35        17.79        13.84         7.63 
TCGA-HV-A5A5 TCGA-HV-AA8V TCGA-HZ-7920 TCGA-HZ-7923 TCGA-HZ-7924 TCGA-HZ-7925 
        9.50        30.25         7.76         0.26        27.62        20.19 
TCGA-HZ-7926 TCGA-HZ-8001 TCGA-HZ-8002 TCGA-HZ-8003 TCGA-HZ-8315 TCGA-HZ-8317 
       17.03        23.21        12.03        19.59         9.83        12.43 
TCGA-HZ-8519 TCGA-HZ-8638 TCGA-HZ-A49G TCGA-HZ-A49H TCGA-HZ-A77P TCGA-HZ-A77Q 
       14.93         4.96        21.70        16.14        10.85         1.08 
TCGA-IB-7645 TCGA-IB-7647 TCGA-IB-7649 TCGA-IB-7651 TCGA-IB-7885 TCGA-IB-7888 
       49.38        21.90        15.35        19.82        41.33        43.79 
TCGA-IB-7889 TCGA-IB-7891 TCGA-IB-7897 TCGA-IB-8126 TCGA-IB-A5SO TCGA-IB-A5SQ 
       15.81        21.30        15.98         2.47        12.00         7.20 
TCGA-IB-A5ST TCGA-IB-AAUM TCGA-IB-AAUP TCGA-IB-AAUQ TCGA-IB-AAUR TCGA-IB-AAUS 
       20.88         0.26        14.17         6.02        11.11         7.40 
TCGA-IB-AAUT TCGA-IB-AAUV TCGA-IB-AAUW TCGA-LB-A8F3 TCGA-LB-A9Q5 TCGA-Q3-A5QY 
        9.44        13.28         7.56        12.46        10.29        13.68 
TCGA-RB-A7B8 TCGA-RB-AA9M TCGA-RL-AAAS TCGA-US-A774 TCGA-US-A77E TCGA-US-A77J 
       15.32         9.40         0.30        22.85        14.14        18.67 
TCGA-XD-AAUG TCGA-XD-AAUH TCGA-XN-A8T5 TCGA-YB-A89D TCGA-Z5-AAPL 
       13.81        12.99        23.67        11.51        15.35 

$subtype2
TCGA-2J-AAB4 TCGA-2J-AAB6 TCGA-2J-AAB8 TCGA-2J-AABE TCGA-2J-AABH TCGA-2J-AABI 
       23.97         9.63         2.63        22.22        42.31        31.86 
TCGA-2J-AABO TCGA-2J-AABT TCGA-2J-AABU TCGA-2L-AAQA TCGA-2L-AAQE TCGA-2L-AAQI 
       14.47        10.49         9.11         4.70        22.49         3.39 
TCGA-2L-AAQJ TCGA-2L-AAQL TCGA-3A-A9I9 TCGA-3A-A9IC TCGA-3A-A9IH TCGA-3A-A9IU 
       12.95         9.60        20.84        24.26        33.57        15.06 
TCGA-3A-A9IZ TCGA-3A-A9J0 TCGA-F2-6879 TCGA-F2-A8YN TCGA-FB-A545 TCGA-FB-A78T 
       10.13        24.43        10.98        17.00        12.66         0.03 
TCGA-FB-AAPQ TCGA-FB-AAPU TCGA-FB-AAQ0 TCGA-FB-AAQ2 TCGA-FB-AAQ3 TCGA-FB-AAQ6 
       37.15        12.53        15.55         5.03         1.02         8.02 
TCGA-FZ-5920 TCGA-FZ-5921 TCGA-FZ-5924 TCGA-H6-8124 TCGA-H8-A6C1 TCGA-HV-A5A3 
        2.01         5.10        15.78        12.89        22.06         4.21 
TCGA-HV-A5A6 TCGA-HV-A7OL TCGA-HV-A7OP TCGA-HV-AA8X TCGA-HZ-7919 TCGA-HZ-7922 
       66.94         8.28        32.15        17.49        19.50         0.13 
TCGA-HZ-8636 TCGA-HZ-A49I TCGA-HZ-A4BH TCGA-HZ-A4BK TCGA-HZ-A77O TCGA-HZ-A9TJ 
       17.92        10.13         6.38        21.60         5.26        19.82 
TCGA-IB-7644 TCGA-IB-7652 TCGA-IB-7886 TCGA-IB-7887 TCGA-IB-7893 TCGA-IB-A5SP 
       12.95        23.80         4.04         3.62         3.85        15.85 
TCGA-IB-A5SS TCGA-IB-A6UF TCGA-IB-A7M4 TCGA-IB-AAUN TCGA-IB-AAUO TCGA-IB-AAUU 
       15.12        21.90        15.88         4.73         7.86         8.05 
TCGA-L1-A7W4 TCGA-LB-A7SX TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-S4-A8RM 
        9.14        12.92        19.20         8.78        15.45        24.23 
TCGA-S4-A8RO TCGA-S4-A8RP TCGA-US-A779 TCGA-US-A77G TCGA-XD-AAUI TCGA-XD-AAUL 
       17.26        23.08        16.80         0.39        12.03        16.37 
TCGA-XN-A8T3 TCGA-YH-A8SY TCGA-YY-A8LH 
       31.27        12.76        66.28 

$subtype3
TCGA-2J-AABF TCGA-2L-AAQM TCGA-3A-A9IB TCGA-3A-A9IL TCGA-3A-A9IN TCGA-3A-A9IO 
       22.72        45.47         7.36        90.12        68.52        63.85 
TCGA-3A-A9IS TCGA-3A-A9IV TCGA-F2-A7TX TCGA-FB-AAPP TCGA-FB-AAPZ TCGA-FB-AAQ1 
       32.81        36.26         3.12        15.95        23.54         4.04 
TCGA-HZ-7289 TCGA-HZ-7918 TCGA-HZ-8005 TCGA-HZ-A8P1 TCGA-IB-7646 TCGA-IB-7654 
       21.73         0.92         3.95         0.23         4.77        15.65 
TCGA-IB-7890 TCGA-IB-8127 TCGA-IB-A6UG TCGA-IB-A7LX TCGA-Q3-AA2A TCGA-US-A776 
       19.66        17.16         1.35         8.22         3.12        39.98 

subtype1 subtype2 subtype3 
    0.26     0.03     0.23 
subtype1 subtype2 subtype3 
   75.12    66.94    90.12 
subtype1 subtype2 subtype3 
  15.320   12.950   16.555 
[1] "0.3 - 75.1 (15.3)" "0.0 - 66.9 (12.9)" "0.2 - 90.1 (16.6)"
D1V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        3        7        12        57         3        2
  subtype2       0        2        2        17        49         2        3
  subtype3       1        0        6         1        15         0        0
D1V3, multiclass
           clus
vv          subtype1 subtype2 subtype3
  STAGE I          0        0        1
  STAGE IA         3        2        0
  STAGE IB         7        2        6
  STAGE IIA       12       17        1
  STAGE IIB       57       49       15
  STAGE III        3        2        0
  STAGE IV         2        3        0
[1] 7 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  4 12 65  3
  subtype2  2  5 67  1
  subtype3  1  7 15  0
D1V4, multiclass
    clus
vv   subtype1 subtype2 subtype3
  T1        4        2        1
  T2       12        5        7
  T3       65       67       15
  T4        3        1        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V5, binary
          cls
clus        0  1
  subtype1 23 61
  subtype2 22 52
  subtype3  5 16
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   23   61
  subtype2   22   52
  subtype3    5   16
   clus
vv  subtype1 subtype2 subtype3
  0       23       22        5
  1       61       52       16
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V6, binary
          cls
clus        0  1
  subtype1 42  2
  subtype2 35  3
  subtype3  8  0
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   42    2
  subtype2   35    3
  subtype3    8    0
   clus
vv  subtype1 subtype2 subtype3
  0       42       35        8
  1        2        3        0
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V7, binary
          cls
clus        0  1
  subtype1 44 41
  subtype2 34 41
  subtype3  5 19
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   44   41
  subtype2   34   41
  subtype3    5   19
        clus
vv       subtype1 subtype2 subtype3
  FEMALE       44       34        5
  MALE         41       41       19
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V8, binary
          cls
clus        0  1
  subtype1 55 20
  subtype2 48 19
  subtype3 19  3
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   55   20
  subtype2   48   19
  subtype3   19    3
     clus
vv    subtype1 subtype2 subtype3
  NO        55       48       19
  YES       20       19        3
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  71
  subtype2                                  66
  subtype3                                  16
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                    10
  subtype2                                     8
  subtype3                                     7
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                3
  subtype2                                                0
  subtype3                                                1
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   1
  subtype2                                   0
  subtype3                                   0
D1V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    71       66       16
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                  10        8        7
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        3        0        1
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     1        0        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V10, continuous
D1V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 58 18  2  1
  subtype2 40 26  3  1
  subtype3 13  9  0  2
D1V12, multiclass
    clus
vv   subtype1 subtype2 subtype3
  R0       58       40       13
  R1       18       26        9
  R2        2        3        0
  RX        1        1        2
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     4                         5    74
  subtype2     7                         2    64
  subtype3     0                         0    23
D1V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3
  ASIAN                            4        7        0
  BLACK OR AFRICAN AMERICAN        5        2        0
  WHITE                           74       64       23
[1] 3 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V15, binary
          cls
clus        0  1
  subtype1  3 68
  subtype2  2 48
  subtype3  0 20
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    3   68
  subtype2    2   48
  subtype3    0   20
                        clus
vv                       subtype1 subtype2 subtype3
  HISPANIC OR LATINO            3        2        0
  NOT HISPANIC OR LATINO       68       48       20
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(2) Variable = METHLYATION_CNMF
D2V1, survival
          sevent
clus2       0  1
  subtype1 17 28
  subtype2 30 18
  subtype3 17 32
  subtype4 23 17
subtype1 subtype2 subtype3 subtype4 
      45       48       49       40 
subtype1 subtype2 subtype3 subtype4 
      28       18       32       17 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB8 TCGA-2J-AABF TCGA-2J-AABH TCGA-2J-AABI TCGA-2J-AABO 
        2.17         2.63        22.72        42.31        31.86        14.47 
TCGA-2L-AAQA TCGA-2L-AAQJ TCGA-2L-AAQL TCGA-3A-A9I5 TCGA-3A-A9IH TCGA-3A-A9J0 
        4.70        12.95         9.60        58.98        33.57        24.43 
TCGA-3E-AAAZ TCGA-FB-A5VM TCGA-FB-A78T TCGA-FB-AAPP TCGA-FB-AAPQ TCGA-FB-AAQ0 
       71.74        16.37         0.03        15.95        37.15        15.55 
TCGA-FB-AAQ1 TCGA-FB-AAQ2 TCGA-FB-AAQ6 TCGA-FZ-5920 TCGA-FZ-5923 TCGA-HV-A5A4 
        4.04         5.03         8.02         2.01        20.35         7.63 
TCGA-HV-A7OL TCGA-HV-A7OP TCGA-HZ-7926 TCGA-HZ-8005 TCGA-HZ-A8P1 TCGA-IB-7646 
        8.28        32.15        17.03         3.95         0.23         4.77 
TCGA-IB-7647 TCGA-IB-7651 TCGA-IB-7886 TCGA-IB-7889 TCGA-IB-7890 TCGA-IB-8127 
       21.90        19.82         4.04        15.81        19.66        17.16 
TCGA-IB-A6UF TCGA-IB-A6UG TCGA-IB-AAUN TCGA-OE-A75W TCGA-S4-A8RM TCGA-S4-A8RO 
       21.90         1.35         4.73         8.78        24.23        17.26 
TCGA-US-A77E TCGA-US-A77G TCGA-YY-A8LH 
       14.14         0.39        66.28 

$subtype2
TCGA-2J-AAB4 TCGA-2J-AAB9 TCGA-2J-AABK TCGA-2J-AABR TCGA-2J-AABV TCGA-2L-AAQI 
       23.97        20.61        15.91        14.40        21.44         3.39 
TCGA-2L-AAQM TCGA-3A-A9I9 TCGA-3A-A9IJ TCGA-3A-A9IL TCGA-3A-A9IN TCGA-3A-A9IO 
       45.47        20.84        60.95        90.12        68.52        63.85 
TCGA-3A-A9IR TCGA-3A-A9IS TCGA-3A-A9IV TCGA-3A-A9IX TCGA-3E-AAAY TCGA-F2-6880 
       50.70        32.81        36.26        34.09        75.12         9.50 
TCGA-F2-7273 TCGA-F2-7276 TCGA-F2-A44H TCGA-FB-A4P6 TCGA-FZ-5922 TCGA-FZ-5926 
       19.46         7.10        19.27        11.93        36.20        17.79 
TCGA-H6-A45N TCGA-HV-A5A5 TCGA-HZ-7918 TCGA-HZ-7920 TCGA-HZ-7924 TCGA-HZ-8002 
       13.84         9.50         0.92         7.76        27.62        12.03 
TCGA-HZ-8003 TCGA-HZ-8317 TCGA-HZ-8519 TCGA-HZ-8638 TCGA-HZ-A49G TCGA-HZ-A49H 
       19.59        12.43        14.93         4.96        21.70        16.14 
TCGA-HZ-A77O TCGA-IB-7649 TCGA-IB-7652 TCGA-IB-AAUM TCGA-IB-AAUT TCGA-IB-AAUW 
        5.26        15.35        23.80         0.26         9.44         7.56 
TCGA-LB-A8F3 TCGA-LB-A9Q5 TCGA-RB-AA9M TCGA-RL-AAAS TCGA-XD-AAUG TCGA-XN-A8T3 
       12.46        10.29         9.40         0.30        13.81        31.27 

$subtype3
TCGA-2J-AAB6 TCGA-2J-AABE TCGA-2J-AABU TCGA-2L-AAQE TCGA-3A-A9IB TCGA-3A-A9IC 
        9.63        22.22         9.11        22.49         7.36        24.26 
TCGA-3A-A9IU TCGA-3A-A9IZ TCGA-F2-6879 TCGA-F2-A7TX TCGA-F2-A8YN TCGA-FB-A545 
       15.06        10.13        10.98         3.12        17.00        12.66 
TCGA-FB-AAPU TCGA-FB-AAPZ TCGA-FB-AAQ3 TCGA-FZ-5924 TCGA-H6-8124 TCGA-H8-A6C1 
       12.53        23.54         1.02        15.78        12.89        22.06 
TCGA-HV-A5A3 TCGA-HV-A5A6 TCGA-HV-AA8X TCGA-HZ-7289 TCGA-HZ-7919 TCGA-HZ-7922 
        4.21        66.94        17.49        21.73        19.50         0.13 
TCGA-HZ-8315 TCGA-HZ-8636 TCGA-HZ-A49I TCGA-HZ-A4BK TCGA-HZ-A9TJ TCGA-IB-7644 
        9.83        17.92        10.13        21.60        19.82        12.95 
TCGA-IB-7654 TCGA-IB-7893 TCGA-IB-A5SP TCGA-IB-A5SS TCGA-IB-A7LX TCGA-IB-A7M4 
       15.65         3.85        15.85        15.12         8.22        15.88 
TCGA-IB-AAUO TCGA-IB-AAUU TCGA-L1-A7W4 TCGA-LB-A7SX TCGA-PZ-A5RE TCGA-Q3-AA2A 
        7.86         8.05         9.14        12.92        15.45         3.12 
TCGA-RB-A7B8 TCGA-S4-A8RP TCGA-US-A776 TCGA-US-A779 TCGA-XD-AAUL TCGA-YB-A89D 
       15.32        23.08        39.98        16.80        16.37        11.51 
TCGA-YH-A8SY 
       12.76 

$subtype4
TCGA-2J-AABA TCGA-2J-AABP TCGA-2J-AABT TCGA-3A-A9I7 TCGA-F2-A44G TCGA-FB-A4P5 
       19.96        15.22        10.49        43.50         7.66         5.88 
TCGA-FB-A7DR TCGA-FB-AAPS TCGA-FB-AAPY TCGA-FZ-5919 TCGA-HV-AA8V TCGA-HZ-7923 
       11.61         7.50        34.82        24.36        30.25         0.26 
TCGA-HZ-7925 TCGA-HZ-8001 TCGA-HZ-A4BH TCGA-HZ-A77P TCGA-HZ-A77Q TCGA-IB-7645 
       20.19        23.21         6.38        10.85         1.08        49.38 
TCGA-IB-7885 TCGA-IB-7887 TCGA-IB-7888 TCGA-IB-7891 TCGA-IB-7897 TCGA-IB-8126 
       41.33         3.62        43.79        21.30        15.98         2.47 
TCGA-IB-A5SO TCGA-IB-A5SQ TCGA-IB-A5ST TCGA-IB-AAUP TCGA-IB-AAUQ TCGA-IB-AAUR 
       12.00         7.20        20.88        14.17         6.02        11.11 
TCGA-IB-AAUS TCGA-IB-AAUV TCGA-M8-A5N4 TCGA-Q3-A5QY TCGA-US-A774 TCGA-US-A77J 
        7.40        13.28        19.20        13.68        22.85        18.67 
TCGA-XD-AAUH TCGA-XD-AAUI TCGA-XN-A8T5 TCGA-Z5-AAPL 
       12.99        12.03        23.67        15.35 

subtype1 subtype2 subtype3 subtype4 
    0.03     0.26     0.13     0.26 
subtype1 subtype2 subtype3 subtype4 
   71.74    90.12    66.94    49.38 
subtype1 subtype2 subtype3 subtype4 
  15.550   16.025   15.060   13.925 
[1] "0.0 - 71.7 (15.6)" "0.3 - 90.1 (16.0)" "0.1 - 66.9 (15.1)"
[4] "0.3 - 49.4 (13.9)"
D2V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        2        4         7        29         1        1
  subtype2       1        3        8         6        27         1        1
  subtype3       0        0        1        12        33         1        3
  subtype4       0        0        2         5        32         2        0
D2V3, multiclass
           clus
vv          subtype1 subtype2 subtype3 subtype4
  STAGE I          0        1        0        0
  STAGE IA         2        3        0        0
  STAGE IB         4        8        1        2
  STAGE IIA        7        6       12        5
  STAGE IIB       29       27       33       32
  STAGE III        1        1        1        2
  STAGE IV         1        1        3        0
[1] 7 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  2  4 36  2
  subtype2  5 13 29  0
  subtype3  0  3 47  0
  subtype4  0  4 35  2
D2V4, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4
  T1        2        5        0        0
  T2        4       13        3        4
  T3       36       29       47       35
  T4        2        0        0        2
[1] 4 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V5, binary
          cls
clus        0  1
  subtype1 15 30
  subtype2 16 29
  subtype3 12 37
  subtype4  7 33
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   15   30
  subtype2   16   29
  subtype3   12   37
  subtype4    7   33
   clus
vv  subtype1 subtype2 subtype3 subtype4
  0       15       16       12        7
  1       30       29       37       33
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V6, binary
          cls
clus        0  1
  subtype1 21  1
  subtype2 20  1
  subtype3 19  3
  subtype4 24  0
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   21    1
  subtype2   20    1
  subtype3   19    3
  subtype4   24    0
   clus
vv  subtype1 subtype2 subtype3 subtype4
  0       21       20       19       24
  1        1        1        3        0
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V7, binary
          cls
clus        0  1
  subtype1 11 34
  subtype2 23 25
  subtype3 23 27
  subtype4 25 16
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   11   34
  subtype2   23   25
  subtype3   23   27
  subtype4   25   16
        clus
vv       subtype1 subtype2 subtype3 subtype4
  FEMALE       11       23       23       25
  MALE         34       25       27       16
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V8, binary
          cls
clus        0  1
  subtype1 31  9
  subtype2 31 16
  subtype3 34 10
  subtype4 26  7
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   31    9
  subtype2   31   16
  subtype3   34   10
  subtype4   26    7
     clus
vv    subtype1 subtype2 subtype3 subtype4
  NO        31       31       34       26
  YES        9       16       10        7
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  40
  subtype2                                  35
  subtype3                                  42
  subtype4                                  36
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                     5
  subtype2                                    11
  subtype3                                     6
  subtype4                                     3
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                0
  subtype2                                                2
  subtype3                                                1
  subtype4                                                1
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   0
  subtype2                                   0
  subtype3                                   0
  subtype4                                   1
D2V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    40       35       42
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   5       11        6
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        0        2        1
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     0        0        0
                                                  clus
vv                                                 subtype4
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    36
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   3
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     1
[1] 4 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V10, continuous
D2V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 24 16  1  2
  subtype2 32 12  0  0
  subtype3 29 13  2  2
  subtype4 26 12  2  0
D2V12, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4
  R0       24       32       29       26
  R1       16       12       13       12
  R2        1        0        2        2
  RX        2        0        2        0
[1] 4 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     3                         2    39
  subtype2     2                         2    43
  subtype3     4                         1    45
  subtype4     2                         2    35
D2V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3 subtype4
  ASIAN                            3        2        4        2
  BLACK OR AFRICAN AMERICAN        2        2        1        2
  WHITE                           39       43       45       35
[1] 3 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V15, binary
          cls
clus        0  1
  subtype1  1 31
  subtype2  1 37
  subtype3  1 38
  subtype4  2 31
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    1   31
  subtype2    1   37
  subtype3    1   38
  subtype4    2   31
                        clus
vv                       subtype1 subtype2 subtype3 subtype4
  HISPANIC OR LATINO            1        1        1        2
  NOT HISPANIC OR LATINO       31       37       38       31
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(3) Variable = RPPA_CNMF
D3V1, survival
          sevent
clus2       0  1
  subtype1 18 22
  subtype2  9 16
  subtype3 10 10
  subtype4  9  6
  subtype5  9 14
subtype1 subtype2 subtype3 subtype4 subtype5 
      40       25       20       15       23 
subtype1 subtype2 subtype3 subtype4 subtype5 
      22       16       10        6       14 
$subtype1
TCGA-2J-AAB4 TCGA-2J-AAB8 TCGA-2L-AAQA TCGA-2L-AAQI TCGA-2L-AAQL TCGA-3A-A9IH 
       23.97         2.63         4.70         3.39         9.60        33.57 
TCGA-3E-AAAZ TCGA-F2-6879 TCGA-F2-A8YN TCGA-FB-A4P5 TCGA-FB-A4P6 TCGA-FB-A5VM 
       71.74        10.98        17.00         5.88        11.93        16.37 
TCGA-FB-AAPP TCGA-FB-AAPQ TCGA-FB-AAQ1 TCGA-FZ-5920 TCGA-HZ-7918 TCGA-HZ-7919 
       15.95        37.15         4.04         2.01         0.92        19.50 
TCGA-IB-7652 TCGA-IB-7654 TCGA-IB-7886 TCGA-IB-7890 TCGA-IB-7893 TCGA-IB-8127 
       23.80        15.65         4.04        19.66         3.85        17.16 
TCGA-IB-A5SP TCGA-IB-A5SQ TCGA-IB-AAUN TCGA-IB-AAUU TCGA-LB-A7SX TCGA-LB-A8F3 
       15.85         7.20         4.73         8.05        12.92        12.46 
TCGA-OE-A75W TCGA-S4-A8RM TCGA-S4-A8RO TCGA-S4-A8RP TCGA-US-A776 TCGA-US-A779 
        8.78        24.23        17.26        23.08        39.98        16.80 
TCGA-XD-AAUH TCGA-XN-A8T5 TCGA-YB-A89D TCGA-YY-A8LH 
       12.99        23.67        11.51        66.28 

$subtype2
TCGA-2J-AAB9 TCGA-2J-AABF TCGA-2J-AABR TCGA-2L-AAQJ TCGA-F2-A44G TCGA-FZ-5919 
       20.61        22.72        14.40        12.95         7.66        24.36 
TCGA-FZ-5921 TCGA-H8-A6C1 TCGA-HV-A5A6 TCGA-HZ-7924 TCGA-HZ-7925 TCGA-HZ-8638 
        5.10        22.06        66.94        27.62        20.19         4.96 
TCGA-IB-7644 TCGA-IB-7649 TCGA-IB-7885 TCGA-IB-8126 TCGA-IB-A5ST TCGA-IB-A7M4 
       12.95        15.35        41.33         2.47        20.88        15.88 
TCGA-LB-A9Q5 TCGA-M8-A5N4 TCGA-PZ-A5RE TCGA-RB-A7B8 TCGA-US-A77E TCGA-XD-AAUI 
       10.29        19.20        15.45        15.32        14.14        12.03 
TCGA-YH-A8SY 
       12.76 

$subtype3
TCGA-2J-AABA TCGA-2J-AABH TCGA-2J-AABO TCGA-3A-A9I5 TCGA-3A-A9IB TCGA-3A-A9IN 
       19.96        42.31        14.47        58.98         7.36        68.52 
TCGA-3A-A9IU TCGA-3A-A9IX TCGA-FZ-5922 TCGA-HZ-7920 TCGA-HZ-7922 TCGA-HZ-7923 
       15.06        34.09        36.20         7.76         0.13         0.26 
TCGA-HZ-8002 TCGA-HZ-8315 TCGA-IB-A5SS TCGA-IB-AAUO TCGA-IB-AAUP TCGA-IB-AAUV 
       12.03         9.83        15.12         7.86        14.17        13.28 
TCGA-RB-AA9M TCGA-US-A774 
        9.40        22.85 

$subtype4
TCGA-2J-AABK TCGA-2L-AAQM TCGA-F2-6880 TCGA-FB-A78T TCGA-FZ-5923 TCGA-FZ-5926 
       15.91        45.47         9.50         0.03        20.35        17.79 
TCGA-H6-A45N TCGA-HZ-8003 TCGA-HZ-8519 TCGA-HZ-A4BK TCGA-IB-7651 TCGA-IB-7891 
       13.84        19.59        14.93        21.60        19.82        21.30 
TCGA-IB-A6UF TCGA-IB-AAUM TCGA-US-A77G 
       21.90         0.26         0.39 

$subtype5
TCGA-3A-A9IZ TCGA-FB-A545 TCGA-FB-AAPZ TCGA-FB-AAQ6 TCGA-FZ-5924 TCGA-HZ-8001 
       10.13        12.66        23.54         8.02        15.78        23.21 
TCGA-HZ-8005 TCGA-HZ-A4BH TCGA-IB-7646 TCGA-IB-7647 TCGA-IB-7887 TCGA-IB-7888 
        3.95         6.38         4.77        21.90         3.62        43.79 
TCGA-IB-7889 TCGA-IB-A5SO TCGA-IB-A7LX TCGA-IB-AAUS TCGA-IB-AAUW TCGA-L1-A7W4 
       15.81        12.00         8.22         7.40         7.56         9.14 
TCGA-Q3-A5QY TCGA-Q3-AA2A TCGA-US-A77J TCGA-XD-AAUL TCGA-Z5-AAPL 
       13.68         3.12        18.67        16.37        15.35 

subtype1 subtype2 subtype3 subtype4 subtype5 
    0.92     2.47     0.13     0.03     3.12 
subtype1 subtype2 subtype3 subtype4 subtype5 
   71.74    66.94    68.52    45.47    43.79 
subtype1 subtype2 subtype3 subtype4 subtype5 
   14.32    15.35    14.32    17.79    12.00 
[1] "0.9 - 71.7 (14.3)" "2.5 - 66.9 (15.3)" "0.1 - 68.5 (14.3)"
[4] "0.0 - 45.5 (17.8)" "3.1 - 43.8 (12.0)"
D3V2, continuous
          vv
clus       STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1        1        5         7        27         0        0
  subtype2        1        0         4        16         3        1
  subtype3        1        2         4        12         0        0
  subtype4        1        0         0        12         1        1
  subtype5        1        1         4        16         1        0
D3V3, multiclass
           clus
vv          subtype1 subtype2 subtype3 subtype4 subtype5
  STAGE IA         1        1        1        1        1
  STAGE IB         5        0        2        0        1
  STAGE IIA        7        4        4        0        4
  STAGE IIB       27       16       12       12       16
  STAGE III        0        3        0        1        1
  STAGE IV         0        1        0        1        0
[1] 6 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  1  7 32  0
  subtype2  1  0 22  2
  subtype3  2  2 15  0
  subtype4  1  1 12  1
  subtype5  1  1 20  1
D3V4, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4 subtype5
  T1        1        1        2        1        1
  T2        7        0        2        1        1
  T3       32       22       15       12       20
  T4        0        2        0        1        1
[1] 4 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V5, binary
          cls
clus        0  1
  subtype1 13 27
  subtype2  6 19
  subtype3  7 12
  subtype4  1 14
  subtype5  5 18
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   13   27
  subtype2    6   19
  subtype3    7   12
  subtype4    1   14
  subtype5    5   18
   clus
vv  subtype1 subtype2 subtype3 subtype4 subtype5
  0       13        6        7        1        5
  1       27       19       12       14       18
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V6, binary
          cls
clus        0  1
  subtype1 21  0
  subtype2 11  1
  subtype3  8  0
  subtype4  8  1
  subtype5 12  0
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   21    0
  subtype2   11    1
  subtype3    8    0
  subtype4    8    1
  subtype5   12    0
   clus
vv  subtype1 subtype2 subtype3 subtype4 subtype5
  0       21       11        8        8       12
  1        0        1        0        1        0
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V7, binary
          cls
clus        0  1
  subtype1 14 26
  subtype2 20  5
  subtype3  7 13
  subtype4  6  9
  subtype5 10 13
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   14   26
  subtype2   20    5
  subtype3    7   13
  subtype4    6    9
  subtype5   10   13
        clus
vv       subtype1 subtype2 subtype3 subtype4 subtype5
  FEMALE       14       20        7        6       10
  MALE         26        5       13        9       13
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V8, binary
          cls
clus        0  1
  subtype1 24 10
  subtype2 16  8
  subtype3 11  6
  subtype4 11  3
  subtype5 20  1
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   24   10
  subtype2   16    8
  subtype3   11    6
  subtype4   11    3
  subtype5   20    1
     clus
vv    subtype1 subtype2 subtype3 subtype4 subtype5
  NO        24       16       11       11       20
  YES       10        8        6        3        1
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  36
  subtype2                                  20
  subtype3                                  18
  subtype4                                  11
  subtype5                                  23
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                     3
  subtype2                                     3
  subtype3                                     2
  subtype4                                     4
  subtype5                                     0
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                1
  subtype2                                                1
  subtype3                                                0
  subtype4                                                0
  subtype5                                                0
D3V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    36       20       18
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   3        3        2
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1        1        0
                                                  clus
vv                                                 subtype4 subtype5
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    11       23
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   4        0
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        0        0
[1] 3 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V10, continuous
D3V11, continuous
[1] "Remove cluster labels:" "subtype5"              
clus
subtype1 subtype2 subtype3 subtype4 subtype5 
      11        9        6        4        2 
 [1] "subtype2" "subtype3" "subtype3" "subtype3" "subtype1" "subtype1"
 [7] "subtype1" "subtype4" "subtype1" "subtype2" "subtype2" "subtype2"
[13] "subtype4" "subtype2" "subtype1" "subtype4" "subtype2" "subtype1"
[19] "subtype3" "subtype4" "subtype2" "subtype3" "subtype1" "subtype2"
[25] "subtype1" "subtype1" "subtype3" "subtype2" "subtype1" "subtype1"
          vv
clus       R0 R1 R2 RX
  subtype1 22 14  1  1
  subtype2 12  9  0  0
  subtype3 15  5  0  0
  subtype4 10  4  0  0
  subtype5 13  7  1  1
D3V12, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4 subtype5
  R0       22       12       15       10       13
  R1       14        9        5        4        7
  R2        1        0        0        0        1
  RX        1        0        0        0        1
[1] 4 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     1                         3    35
  subtype2     1                         0    21
  subtype3     0                         0    20
  subtype4     0                         0    15
  subtype5     0                         1    22
D3V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3 subtype4 subtype5
  ASIAN                            1        1        0        0        0
  BLACK OR AFRICAN AMERICAN        3        0        0        0        1
  WHITE                           35       21       20       15       22
[1] 3 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V15, binary
          cls
clus        0  1
  subtype1  2 29
  subtype2  0 17
  subtype3  0 17
  subtype4  0 12
  subtype5  1 20
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    2   29
  subtype2    0   17
  subtype3    0   17
  subtype4    0   12
  subtype5    1   20
                        clus
vv                       subtype1 subtype2 subtype3 subtype4 subtype5
  HISPANIC OR LATINO            2        0        0        0        1
  NOT HISPANIC OR LATINO       29       17       17       12       20
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(4) Variable = RPPA_CHIERARCHICAL
D4V1, survival
          sevent
clus2       0  1
  subtype1 19 29
  subtype2 10 15
  subtype3  9  7
  subtype4 11  5
  subtype5  6 12
subtype1 subtype2 subtype3 subtype4 subtype5 
      48       25       16       16       18 
subtype1 subtype2 subtype3 subtype4 subtype5 
      29       15        7        5       12 
$subtype1
TCGA-2J-AAB4 TCGA-2J-AAB8 TCGA-2J-AABK TCGA-2L-AAQA TCGA-2L-AAQI TCGA-2L-AAQL 
       23.97         2.63        15.91         4.70         3.39         9.60 
TCGA-3A-A9IH TCGA-3A-A9IX TCGA-3E-AAAZ TCGA-F2-6879 TCGA-F2-A8YN TCGA-FB-A4P5 
       33.57        34.09        71.74        10.98        17.00         5.88 
TCGA-FB-A4P6 TCGA-FB-A5VM TCGA-FB-AAPQ TCGA-FB-AAQ1 TCGA-FZ-5920 TCGA-H6-A45N 
       11.93        16.37        37.15         4.04         2.01        13.84 
TCGA-HZ-7919 TCGA-HZ-7924 TCGA-HZ-8002 TCGA-HZ-8315 TCGA-HZ-8638 TCGA-IB-7651 
       19.50        27.62        12.03         9.83         4.96        19.82 
TCGA-IB-7652 TCGA-IB-7654 TCGA-IB-7886 TCGA-IB-7889 TCGA-IB-7893 TCGA-IB-8127 
       23.80        15.65         4.04        15.81         3.85        17.16 
TCGA-IB-A5SO TCGA-IB-A5SP TCGA-IB-A5SQ TCGA-IB-AAUN TCGA-IB-AAUO TCGA-IB-AAUU 
       12.00        15.85         7.20         4.73         7.86         8.05 
TCGA-LB-A7SX TCGA-LB-A8F3 TCGA-OE-A75W TCGA-S4-A8RM TCGA-S4-A8RO TCGA-S4-A8RP 
       12.92        12.46         8.78        24.23        17.26        23.08 
TCGA-US-A779 TCGA-US-A77E TCGA-XD-AAUH TCGA-XN-A8T5 TCGA-YB-A89D TCGA-YY-A8LH 
       16.80        14.14        12.99        23.67        11.51        66.28 

$subtype2
TCGA-2J-AAB9 TCGA-2J-AABF TCGA-2J-AABR TCGA-2L-AAQJ TCGA-F2-A44G TCGA-FB-AAQ6 
       20.61        22.72        14.40        12.95         7.66         8.02 
TCGA-FZ-5919 TCGA-FZ-5921 TCGA-H8-A6C1 TCGA-HV-A5A6 TCGA-HZ-7925 TCGA-HZ-8001 
       24.36         5.10        22.06        66.94        20.19        23.21 
TCGA-IB-7644 TCGA-IB-7646 TCGA-IB-7649 TCGA-IB-7885 TCGA-IB-8126 TCGA-IB-A5ST 
       12.95         4.77        15.35        41.33         2.47        20.88 
TCGA-IB-A7M4 TCGA-LB-A9Q5 TCGA-M8-A5N4 TCGA-PZ-A5RE TCGA-RB-A7B8 TCGA-YH-A8SY 
       15.88        10.29        19.20        15.45        15.32        12.76 
TCGA-Z5-AAPL 
       15.35 

$subtype3
TCGA-2J-AABA TCGA-2J-AABH TCGA-2J-AABO TCGA-3A-A9I5 TCGA-3A-A9IB TCGA-3A-A9IU 
       19.96        42.31        14.47        58.98         7.36        15.06 
TCGA-FZ-5922 TCGA-HZ-7920 TCGA-HZ-7923 TCGA-HZ-A4BH TCGA-IB-AAUV TCGA-IB-AAUW 
       36.20         7.76         0.26         6.38        13.28         7.56 
TCGA-Q3-A5QY TCGA-Q3-AA2A TCGA-US-A774 TCGA-XD-AAUL 
       13.68         3.12        22.85        16.37 

$subtype4
TCGA-2L-AAQM TCGA-3A-A9IN TCGA-F2-6880 TCGA-FB-A78T TCGA-FB-AAPP TCGA-FZ-5923 
       45.47        68.52         9.50         0.03        15.95        20.35 
TCGA-FZ-5926 TCGA-HZ-7918 TCGA-HZ-8003 TCGA-HZ-8519 TCGA-HZ-A4BK TCGA-IB-7891 
       17.79         0.92        19.59        14.93        21.60        21.30 
TCGA-IB-A6UF TCGA-IB-AAUM TCGA-US-A776 TCGA-US-A77G 
       21.90         0.26        39.98         0.39 

$subtype5
TCGA-3A-A9IZ TCGA-FB-A545 TCGA-FB-AAPZ TCGA-FZ-5924 TCGA-HZ-7922 TCGA-HZ-8005 
       10.13        12.66        23.54        15.78         0.13         3.95 
TCGA-IB-7647 TCGA-IB-7887 TCGA-IB-7888 TCGA-IB-7890 TCGA-IB-A5SS TCGA-IB-A7LX 
       21.90         3.62        43.79        19.66        15.12         8.22 
TCGA-IB-AAUP TCGA-IB-AAUS TCGA-L1-A7W4 TCGA-RB-AA9M TCGA-US-A77J TCGA-XD-AAUI 
       14.17         7.40         9.14         9.40        18.67        12.03 

subtype1 subtype2 subtype3 subtype4 subtype5 
    2.01     2.47     0.26     0.03     0.13 
subtype1 subtype2 subtype3 subtype4 subtype5 
   71.74    66.94    58.98    68.52    43.79 
subtype1 subtype2 subtype3 subtype4 subtype5 
  13.415   15.350   14.075   18.690   12.345 
[1] "2.0 - 71.7 (13.4)" "2.5 - 66.9 (15.3)" "0.3 - 59.0 (14.1)"
[4] "0.0 - 68.5 (18.7)" "0.1 - 43.8 (12.3)"
D4V2, continuous
          vv
clus       STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1        3        4         8        33         0        0
  subtype2        1        0         4        15         4        1
  subtype3        0        2         4         9         0        0
  subtype4        1        1         1        11         1        1
  subtype5        0        1         2        15         0        0
D4V3, multiclass
           clus
vv          subtype1 subtype2 subtype3 subtype4 subtype5
  STAGE IA         3        1        0        1        0
  STAGE IB         4        0        2        1        1
  STAGE IIA        8        4        4        1        2
  STAGE IIB       33       15        9       11       15
  STAGE III        0        4        0        1        0
  STAGE IV         0        1        0        1        0
[1] 6 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  3  6 39  0
  subtype2  1  0 21  3
  subtype3  0  1 14  0
  subtype4  1  2 12  1
  subtype5  1  2 15  0
D4V4, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4 subtype5
  T1        3        1        0        1        1
  T2        6        0        1        2        2
  T3       39       21       14       12       15
  T4        0        3        0        1        0
[1] 4 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V5, binary
          cls
clus        0  1
  subtype1 15 33
  subtype2  7 18
  subtype3  6 10
  subtype4  2 13
  subtype5  2 16
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   15   33
  subtype2    7   18
  subtype3    6   10
  subtype4    2   13
  subtype5    2   16
   clus
vv  subtype1 subtype2 subtype3 subtype4 subtype5
  0       15        7        6        2        2
  1       33       18       10       13       16
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V6, binary
          cls
clus        0  1
  subtype1 24  0
  subtype2 13  1
  subtype3  6  0
  subtype4  7  1
  subtype5 10  0
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   24    0
  subtype2   13    1
  subtype3    6    0
  subtype4    7    1
  subtype5   10    0
   clus
vv  subtype1 subtype2 subtype3 subtype4 subtype5
  0       24       13        6        7       10
  1        0        1        0        1        0
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V7, binary
          cls
clus        0  1
  subtype1 21 27
  subtype2 18  7
  subtype3  4 12
  subtype4  5 11
  subtype5  9  9
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   21   27
  subtype2   18    7
  subtype3    4   12
  subtype4    5   11
  subtype5    9    9
        clus
vv       subtype1 subtype2 subtype3 subtype4 subtype5
  FEMALE       21       18        4        5        9
  MALE         27        7       12       11        9
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V8, binary
          cls
clus        0  1
  subtype1 31 11
  subtype2 16  8
  subtype3 11  3
  subtype4 10  4
  subtype5 14  2
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   31   11
  subtype2   16    8
  subtype3   11    3
  subtype4   10    4
  subtype5   14    2
     clus
vv    subtype1 subtype2 subtype3 subtype4 subtype5
  NO        31       16       11       10       14
  YES       11        8        3        4        2
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  42
  subtype2                                  22
  subtype3                                  15
  subtype4                                  11
  subtype5                                  18
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                     5
  subtype2                                     2
  subtype3                                     1
  subtype4                                     4
  subtype5                                     0
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                1
  subtype2                                                0
  subtype3                                                0
  subtype4                                                1
  subtype5                                                0
D4V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    42       22       15
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   5        2        1
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1        0        0
                                                  clus
vv                                                 subtype4 subtype5
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    11       18
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   4        0
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1        0
[1] 3 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V10, continuous
D4V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 25 18  1  1
  subtype2 13  8  0  0
  subtype3 13  2  0  1
  subtype4 12  4  0  0
  subtype5  9  7  1  0
D4V12, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4 subtype5
  R0       25       13       13       12        9
  R1       18        8        2        4        7
  R2        1        0        0        0        1
  RX        1        0        1        0        0
[1] 4 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     1                         3    44
  subtype2     1                         0    21
  subtype3     0                         0    16
  subtype4     0                         0    16
  subtype5     0                         1    16
D4V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3 subtype4 subtype5
  ASIAN                            1        1        0        0        0
  BLACK OR AFRICAN AMERICAN        3        0        0        0        1
  WHITE                           44       21       16       16       16
[1] 3 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V15, binary
          cls
clus        0  1
  subtype1  2 36
  subtype2  0 17
  subtype3  0 12
  subtype4  0 14
  subtype5  1 16
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    2   36
  subtype2    0   17
  subtype3    0   12
  subtype4    0   14
  subtype5    1   16
                        clus
vv                       subtype1 subtype2 subtype3 subtype4 subtype5
  HISPANIC OR LATINO            2        0        0        0        1
  NOT HISPANIC OR LATINO       36       17       12       14       16
[1] 2 5
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(5) Variable = MRNASEQ_CNMF
D5V1, survival
          sevent
clus2       0  1
  subtype1 36 46
  subtype2 25 24
  subtype3 26 19
subtype1 subtype2 subtype3 
      82       49       45 
subtype1 subtype2 subtype3 
      46       24       19 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB8 TCGA-2J-AABA TCGA-2J-AABE TCGA-2J-AABI TCGA-2J-AABT 
        2.17         2.63        19.96        22.22        31.86        10.49 
TCGA-2J-AABU TCGA-2L-AAQA TCGA-2L-AAQE TCGA-2L-AAQJ TCGA-3A-A9I7 TCGA-3A-A9IB 
        9.11         4.70        22.49        12.95        43.50         7.36 
TCGA-3A-A9IC TCGA-3A-A9IU TCGA-3A-A9IZ TCGA-3A-A9J0 TCGA-3E-AAAZ TCGA-F2-6879 
       24.26        15.06        10.13        24.43        71.74        10.98 
TCGA-F2-A44G TCGA-F2-A8YN TCGA-FB-A545 TCGA-FB-A7DR TCGA-FB-AAPP TCGA-FB-AAPQ 
        7.66        17.00        12.66        11.61        15.95        37.15 
TCGA-FB-AAPU TCGA-FB-AAPZ TCGA-FB-AAQ0 TCGA-FB-AAQ3 TCGA-FB-AAQ6 TCGA-H6-8124 
       12.53        23.54        15.55         1.02         8.02        12.89 
TCGA-H8-A6C1 TCGA-HV-A5A3 TCGA-HV-A5A4 TCGA-HV-A5A6 TCGA-HV-A7OL TCGA-HV-A7OP 
       22.06         4.21         7.63        66.94         8.28        32.15 
TCGA-HV-AA8V TCGA-HV-AA8X TCGA-HZ-7289 TCGA-HZ-7919 TCGA-HZ-7922 TCGA-HZ-7924 
       30.25        17.49        21.73        19.50         0.13        27.62 
TCGA-HZ-7925 TCGA-HZ-7926 TCGA-HZ-8005 TCGA-HZ-8315 TCGA-HZ-8636 TCGA-HZ-8638 
       20.19        17.03         3.95         9.83        17.92         4.96 
TCGA-HZ-A49I TCGA-HZ-A77Q TCGA-HZ-A8P1 TCGA-HZ-A9TJ TCGA-IB-7644 TCGA-IB-7646 
       10.13         1.08         0.23        19.82        12.95         4.77 
TCGA-IB-7885 TCGA-IB-7886 TCGA-IB-7887 TCGA-IB-7893 TCGA-IB-8127 TCGA-IB-A5SS 
       41.33         4.04         3.62         3.85        17.16        15.12 
TCGA-IB-A5ST TCGA-IB-A7LX TCGA-IB-A7M4 TCGA-IB-AAUO TCGA-IB-AAUP TCGA-IB-AAUS 
       20.88         8.22        15.88         7.86        14.17         7.40 
TCGA-L1-A7W4 TCGA-LB-A7SX TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-Q3-A5QY 
        9.14        12.92        19.20         8.78        15.45        13.68 
TCGA-Q3-AA2A TCGA-RB-A7B8 TCGA-S4-A8RM TCGA-S4-A8RO TCGA-US-A776 TCGA-US-A77E 
        3.12        15.32        24.23        17.26        39.98        14.14 
TCGA-XD-AAUL TCGA-YH-A8SY TCGA-YY-A8LH TCGA-Z5-AAPL 
       16.37        12.76        66.28        15.35 

$subtype2
TCGA-2J-AAB4 TCGA-2J-AAB9 TCGA-2J-AABF TCGA-2J-AABH TCGA-2J-AABK TCGA-2J-AABR 
       23.97        20.61        22.72        42.31        15.91        14.40 
TCGA-2J-AABV TCGA-2L-AAQI TCGA-2L-AAQL TCGA-3A-A9I9 TCGA-3A-A9IX TCGA-3E-AAAY 
       21.44         3.39         9.60        20.84        34.09        75.12 
TCGA-F2-6880 TCGA-F2-7273 TCGA-F2-A44H TCGA-F2-A7TX TCGA-FB-A4P6 TCGA-FB-A78T 
        9.50        19.46        19.27         3.12        11.93         0.03 
TCGA-FB-AAPY TCGA-FB-AAQ1 TCGA-HV-A5A5 TCGA-HZ-7918 TCGA-HZ-8317 TCGA-HZ-A49G 
       34.82         4.04         9.50         0.92        12.43        21.70 
TCGA-HZ-A4BK TCGA-HZ-A77O TCGA-HZ-A77P TCGA-IB-7649 TCGA-IB-7651 TCGA-IB-7652 
       21.60         5.26        10.85        15.35        19.82        23.80 
TCGA-IB-7654 TCGA-IB-7889 TCGA-IB-7891 TCGA-IB-A5SP TCGA-IB-A6UF TCGA-IB-A6UG 
       15.65        15.81        21.30        15.85        21.90         1.35 
TCGA-IB-AAUM TCGA-IB-AAUN TCGA-IB-AAUT TCGA-IB-AAUU TCGA-IB-AAUW TCGA-LB-A8F3 
        0.26         4.73         9.44         8.05         7.56        12.46 
TCGA-LB-A9Q5 TCGA-RL-AAAS TCGA-S4-A8RP TCGA-US-A774 TCGA-US-A779 TCGA-US-A77G 
       10.29         0.30        23.08        22.85        16.80         0.39 
TCGA-XN-A8T3 
       31.27 

$subtype3
TCGA-2J-AAB6 TCGA-2J-AABO TCGA-2J-AABP TCGA-2L-AAQM TCGA-3A-A9I5 TCGA-3A-A9IH 
        9.63        14.47        15.22        45.47        58.98        33.57 
TCGA-3A-A9IJ TCGA-3A-A9IL TCGA-3A-A9IN TCGA-3A-A9IO TCGA-3A-A9IR TCGA-3A-A9IS 
       60.95        90.12        68.52        63.85        50.70        32.81 
TCGA-3A-A9IV TCGA-F2-7276 TCGA-FB-A4P5 TCGA-FB-A5VM TCGA-FB-AAPS TCGA-FB-AAQ2 
       36.26         7.10         5.88        16.37         7.50         5.03 
TCGA-H6-A45N TCGA-HZ-7920 TCGA-HZ-7923 TCGA-HZ-8001 TCGA-HZ-8002 TCGA-HZ-8003 
       13.84         7.76         0.26        23.21        12.03        19.59 
TCGA-HZ-8519 TCGA-HZ-A49H TCGA-HZ-A4BH TCGA-IB-7645 TCGA-IB-7647 TCGA-IB-7888 
       14.93        16.14         6.38        49.38        21.90        43.79 
TCGA-IB-7890 TCGA-IB-7897 TCGA-IB-8126 TCGA-IB-A5SO TCGA-IB-A5SQ TCGA-IB-AAUQ 
       19.66        15.98         2.47        12.00         7.20         6.02 
TCGA-IB-AAUR TCGA-IB-AAUV TCGA-RB-AA9M TCGA-US-A77J TCGA-XD-AAUG TCGA-XD-AAUH 
       11.11        13.28         9.40        18.67        13.81        12.99 
TCGA-XD-AAUI TCGA-XN-A8T5 TCGA-YB-A89D 
       12.03        23.67        11.51 

subtype1 subtype2 subtype3 
    0.13     0.03     0.26 
subtype1 subtype2 subtype3 
   71.74    75.12    90.12 
subtype1 subtype2 subtype3 
  14.155   15.650   14.930 
[1] "0.1 - 71.7 (14.2)" "0.0 - 75.1 (15.7)" "0.3 - 90.1 (14.9)"
D5V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        2        2        19        55         2        3
  subtype2       0        1        3         6        39         0        0
  subtype3       1        2       10         3        25         2        1
D5V3, multiclass
           clus
vv          subtype1 subtype2 subtype3
  STAGE I          0        0        1
  STAGE IA         2        1        2
  STAGE IB         2        3       10
  STAGE IIA       19        6        3
  STAGE IIB       55       39       25
  STAGE III        2        0        2
  STAGE IV         3        0        1
[1] 7 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  2  3 77  1
  subtype2  1 10 38  0
  subtype3  4 11 27  2
D5V4, multiclass
    clus
vv   subtype1 subtype2 subtype3
  T1        2        1        4
  T2        3       10       11
  T3       77       38       27
  T4        1        0        2
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V5, binary
          cls
clus        0  1
  subtype1 23 58
  subtype2 10 39
  subtype3 16 27
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   23   58
  subtype2   10   39
  subtype3   16   27
   clus
vv  subtype1 subtype2 subtype3
  0       23       10       16
  1       58       39       27
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V6, binary
          cls
clus        0  1
  subtype1 32  3
  subtype2 30  0
  subtype3 18  1
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   32    3
  subtype2   30    0
  subtype3   18    1
   clus
vv  subtype1 subtype2 subtype3
  0       32       30       18
  1        3        0        1
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V7, binary
          cls
clus        0  1
  subtype1 37 46
  subtype2 20 29
  subtype3 23 23
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   37   46
  subtype2   20   29
  subtype3   23   23
        clus
vv       subtype1 subtype2 subtype3
  FEMALE       37       20       23
  MALE         46       29       23
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V8, binary
          cls
clus        0  1
  subtype1 56 16
  subtype2 30 16
  subtype3 30 10
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   56   16
  subtype2   30   16
  subtype3   30   10
     clus
vv    subtype1 subtype2 subtype3
  NO        56       30       30
  YES       16       16       10
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  69
  subtype2                                  44
  subtype3                                  34
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                    10
  subtype2                                     4
  subtype3                                    11
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                3
  subtype2                                                1
  subtype3                                                0
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   0
  subtype2                                   0
  subtype3                                   1
D5V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    69       44       34
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                  10        4       11
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        3        1        0
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     0        0        1
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V10, continuous
D5V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 45 25  4  3
  subtype2 27 18  0  1
  subtype3 34 10  1  0
D5V12, multiclass
    clus
vv   subtype1 subtype2 subtype3
  R0       45       27       34
  R1       25       18       10
  R2        4        0        1
  RX        3        1        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     9                         3    70
  subtype2     2                         2    44
  subtype3     0                         1    43
D5V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3
  ASIAN                            9        2        0
  BLACK OR AFRICAN AMERICAN        3        2        1
  WHITE                           70       44       43
[1] 3 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D5V15, binary
          cls
clus        0  1
  subtype1  2 62
  subtype2  1 33
  subtype3  2 36
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    2   62
  subtype2    1   33
  subtype3    2   36
                        clus
vv                       subtype1 subtype2 subtype3
  HISPANIC OR LATINO            2        1        2
  NOT HISPANIC OR LATINO       62       33       36
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(6) Variable = MRNASEQ_CHIERARCHICAL
D6V1, survival
          sevent
clus2       0  1
  subtype1 34 40
  subtype2 35 40
  subtype3 18  9
subtype1 subtype2 subtype3 
      74       75       27 
subtype1 subtype2 subtype3 
      40       40        9 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB4 TCGA-2J-AAB9 TCGA-2J-AABF TCGA-2J-AABH TCGA-2J-AABK 
        2.17        23.97        20.61        22.72        42.31        15.91 
TCGA-2J-AABO TCGA-2J-AABR TCGA-2J-AABV TCGA-2L-AAQI TCGA-2L-AAQL TCGA-3A-A9I9 
       14.47        14.40        21.44         3.39         9.60        20.84 
TCGA-3A-A9IB TCGA-3A-A9IU TCGA-3A-A9IX TCGA-3A-A9IZ TCGA-3E-AAAY TCGA-F2-6880 
        7.36        15.06        34.09        10.13        75.12         9.50 
TCGA-F2-7273 TCGA-F2-7276 TCGA-F2-A44G TCGA-F2-A44H TCGA-F2-A7TX TCGA-FB-A4P5 
       19.46         7.10         7.66        19.27         3.12         5.88 
TCGA-FB-A4P6 TCGA-FB-A78T TCGA-FB-AAPS TCGA-FB-AAPY TCGA-FB-AAPZ TCGA-FB-AAQ1 
       11.93         0.03         7.50        34.82        23.54         4.04 
TCGA-FB-AAQ3 TCGA-H6-A45N TCGA-H8-A6C1 TCGA-HV-A5A5 TCGA-HZ-7918 TCGA-HZ-7919 
        1.02        13.84        22.06         9.50         0.92        19.50 
TCGA-HZ-7922 TCGA-HZ-7926 TCGA-HZ-8002 TCGA-HZ-8003 TCGA-HZ-8315 TCGA-HZ-8317 
        0.13        17.03        12.03        19.59         9.83        12.43 
TCGA-HZ-A49G TCGA-HZ-A49H TCGA-HZ-A4BK TCGA-HZ-A77O TCGA-IB-7649 TCGA-IB-7651 
       21.70        16.14        21.60         5.26        15.35        19.82 
TCGA-IB-7652 TCGA-IB-7654 TCGA-IB-7886 TCGA-IB-7889 TCGA-IB-7891 TCGA-IB-8126 
       23.80        15.65         4.04        15.81        21.30         2.47 
TCGA-IB-8127 TCGA-IB-A5SP TCGA-IB-A6UF TCGA-IB-A6UG TCGA-IB-AAUM TCGA-IB-AAUN 
       17.16        15.85        21.90         1.35         0.26         4.73 
TCGA-IB-AAUS TCGA-IB-AAUT TCGA-IB-AAUU TCGA-IB-AAUW TCGA-LB-A8F3 TCGA-LB-A9Q5 
        7.40         9.44         8.05         7.56        12.46        10.29 
TCGA-RL-AAAS TCGA-S4-A8RP TCGA-US-A774 TCGA-US-A779 TCGA-US-A77G TCGA-XD-AAUI 
        0.30        23.08        22.85        16.80         0.39        12.03 
TCGA-XD-AAUL TCGA-XN-A8T3 
       16.37        31.27 

$subtype2
TCGA-2J-AAB6 TCGA-2J-AAB8 TCGA-2J-AABA TCGA-2J-AABE TCGA-2J-AABI TCGA-2J-AABP 
        9.63         2.63        19.96        22.22        31.86        15.22 
TCGA-2J-AABT TCGA-2J-AABU TCGA-2L-AAQA TCGA-2L-AAQE TCGA-2L-AAQJ TCGA-3A-A9I7 
       10.49         9.11         4.70        22.49        12.95        43.50 
TCGA-3A-A9IC TCGA-3A-A9IH TCGA-3A-A9J0 TCGA-3E-AAAZ TCGA-F2-6879 TCGA-F2-A8YN 
       24.26        33.57        24.43        71.74        10.98        17.00 
TCGA-FB-A545 TCGA-FB-A7DR TCGA-FB-AAPP TCGA-FB-AAPQ TCGA-FB-AAPU TCGA-FB-AAQ0 
       12.66        11.61        15.95        37.15        12.53        15.55 
TCGA-FB-AAQ2 TCGA-FB-AAQ6 TCGA-H6-8124 TCGA-HV-A5A3 TCGA-HV-A5A4 TCGA-HV-A5A6 
        5.03         8.02        12.89         4.21         7.63        66.94 
TCGA-HV-A7OL TCGA-HV-A7OP TCGA-HV-AA8V TCGA-HV-AA8X TCGA-HZ-7289 TCGA-HZ-7924 
        8.28        32.15        30.25        17.49        21.73        27.62 
TCGA-HZ-7925 TCGA-HZ-8005 TCGA-HZ-8636 TCGA-HZ-8638 TCGA-HZ-A49I TCGA-HZ-A77P 
       20.19         3.95        17.92         4.96        10.13        10.85 
TCGA-HZ-A77Q TCGA-HZ-A8P1 TCGA-HZ-A9TJ TCGA-IB-7644 TCGA-IB-7646 TCGA-IB-7885 
        1.08         0.23        19.82        12.95         4.77        41.33 
TCGA-IB-7887 TCGA-IB-7890 TCGA-IB-7893 TCGA-IB-A5SS TCGA-IB-A5ST TCGA-IB-A7LX 
        3.62        19.66         3.85        15.12        20.88         8.22 
TCGA-IB-A7M4 TCGA-IB-AAUO TCGA-IB-AAUP TCGA-IB-AAUQ TCGA-IB-AAUR TCGA-L1-A7W4 
       15.88         7.86        14.17         6.02        11.11         9.14 
TCGA-LB-A7SX TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-Q3-A5QY TCGA-Q3-AA2A 
       12.92        19.20         8.78        15.45        13.68         3.12 
TCGA-RB-A7B8 TCGA-S4-A8RM TCGA-S4-A8RO TCGA-US-A776 TCGA-US-A77E TCGA-YB-A89D 
       15.32        24.23        17.26        39.98        14.14        11.51 
TCGA-YH-A8SY TCGA-YY-A8LH TCGA-Z5-AAPL 
       12.76        66.28        15.35 

$subtype3
TCGA-2L-AAQM TCGA-3A-A9I5 TCGA-3A-A9IJ TCGA-3A-A9IL TCGA-3A-A9IN TCGA-3A-A9IO 
       45.47        58.98        60.95        90.12        68.52        63.85 
TCGA-3A-A9IR TCGA-3A-A9IS TCGA-3A-A9IV TCGA-FB-A5VM TCGA-HZ-7920 TCGA-HZ-7923 
       50.70        32.81        36.26        16.37         7.76         0.26 
TCGA-HZ-8001 TCGA-HZ-8519 TCGA-HZ-A4BH TCGA-IB-7645 TCGA-IB-7647 TCGA-IB-7888 
       23.21        14.93         6.38        49.38        21.90        43.79 
TCGA-IB-7897 TCGA-IB-A5SO TCGA-IB-A5SQ TCGA-IB-AAUV TCGA-RB-AA9M TCGA-US-A77J 
       15.98        12.00         7.20        13.28         9.40        18.67 
TCGA-XD-AAUG TCGA-XD-AAUH TCGA-XN-A8T5 
       13.81        12.99        23.67 

subtype1 subtype2 subtype3 
    0.03     0.23     0.26 
subtype1 subtype2 subtype3 
   75.12    71.74    90.12 
subtype1 subtype2 subtype3 
   14.12    14.14    21.90 
[1] "0.0 - 75.1 (14.1)" "0.2 - 71.7 (14.1)" "0.3 - 90.1 (21.9)"
D6V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        1        3         9        61         1        0
  subtype2       0        3        3        17        47         2        3
  subtype3       1        1        9         2        11         1        1
D6V3, multiclass
           clus
vv          subtype1 subtype2 subtype3
  STAGE I          0        0        1
  STAGE IA         1        3        1
  STAGE IB         3        3        9
  STAGE IIA        9       17        2
  STAGE IIB       61       47       11
  STAGE III        1        2        1
  STAGE IV         0        3        1
[1] 7 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  1 12 61  1
  subtype2  3  3 68  1
  subtype3  3  9 13  1
D6V4, multiclass
    clus
vv   subtype1 subtype2 subtype3
  T1        1        3        3
  T2       12        3        9
  T3       61       68       13
  T4        1        1        1
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V5, binary
          cls
clus        0  1
  subtype1 13 62
  subtype2 23 50
  subtype3 13 12
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   13   62
  subtype2   23   50
  subtype3   13   12
   clus
vv  subtype1 subtype2 subtype3
  0       13       23       13
  1       62       50       12
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V6, binary
          cls
clus        0  1
  subtype1 39  0
  subtype2 31  3
  subtype3 10  1
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   39    0
  subtype2   31    3
  subtype3   10    1
   clus
vv  subtype1 subtype2 subtype3
  0       39       31       10
  1        0        3        1
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V7, binary
          cls
clus        0  1
  subtype1 34 41
  subtype2 33 42
  subtype3 13 15
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   34   41
  subtype2   33   42
  subtype3   13   15
        clus
vv       subtype1 subtype2 subtype3
  FEMALE       34       33       13
  MALE         41       42       15
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V8, binary
          cls
clus        0  1
  subtype1 46 19
  subtype2 53 16
  subtype3 17  7
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   46   19
  subtype2   53   16
  subtype3   17    7
     clus
vv    subtype1 subtype2 subtype3
  NO        46       53       17
  YES       19       16        7
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  68
  subtype2                                  61
  subtype3                                  18
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                     6
  subtype2                                     9
  subtype3                                    10
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                1
  subtype2                                                3
  subtype3                                                0
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   0
  subtype2                                   1
  subtype3                                   0
D6V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    68       61       18
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   6        9       10
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1        3        0
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     0        1        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V10, continuous
D6V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 42 27  0  2
  subtype2 42 21  4  2
  subtype3 22  5  1  0
D6V12, multiclass
    clus
vv   subtype1 subtype2 subtype3
  R0       42       42       22
  R1       27       21        5
  R2        0        4        1
  RX        2        2        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     2                         3    69
  subtype2     9                         2    62
  subtype3     0                         1    26
D6V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3
  ASIAN                            2        9        0
  BLACK OR AFRICAN AMERICAN        3        2        1
  WHITE                           69       62       26
[1] 3 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D6V15, binary
          cls
clus        0  1
  subtype1  2 56
  subtype2  1 53
  subtype3  2 22
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    2   56
  subtype2    1   53
  subtype3    2   22
                        clus
vv                       subtype1 subtype2 subtype3
  HISPANIC OR LATINO            2        1        2
  NOT HISPANIC OR LATINO       56       53       22
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(7) Variable = MIRSEQ_CNMF
D7V1, survival
          sevent
clus2       0  1
  subtype1 30 38
  subtype2 23 18
  subtype3 15 20
  subtype4 19 13
subtype1 subtype2 subtype3 subtype4 
      68       41       35       32 
subtype1 subtype2 subtype3 subtype4 
      38       18       20       13 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB4 TCGA-2J-AAB6 TCGA-2J-AAB8 TCGA-2J-AABE TCGA-2J-AABF 
        2.17        23.97         9.63         2.63        22.22        22.72 
TCGA-2J-AABI TCGA-2J-AABU TCGA-2L-AAQA TCGA-2L-AAQJ TCGA-3A-A9I7 TCGA-3A-A9IC 
       31.86         9.11         4.70        12.95        43.50        24.26 
TCGA-3A-A9IU TCGA-3A-A9IZ TCGA-3A-A9J0 TCGA-F2-6879 TCGA-F2-A44G TCGA-F2-A8YN 
       15.06        10.13        24.43        10.98         7.66        17.00 
TCGA-FB-A545 TCGA-FB-AAPP TCGA-FB-AAPU TCGA-FB-AAPY TCGA-FB-AAPZ TCGA-FB-AAQ0 
       12.66        15.95        12.53        34.82        23.54        15.55 
TCGA-FB-AAQ3 TCGA-FB-AAQ6 TCGA-H6-8124 TCGA-H8-A6C1 TCGA-HV-A5A3 TCGA-HV-A5A4 
        1.02         8.02        12.89        22.06         4.21         7.63 
TCGA-HV-A5A6 TCGA-HV-A7OL TCGA-HV-A7OP TCGA-HV-AA8V TCGA-HV-AA8X TCGA-HZ-7289 
       66.94         8.28        32.15        30.25        17.49        21.73 
TCGA-HZ-7919 TCGA-HZ-7924 TCGA-HZ-8636 TCGA-HZ-A49I TCGA-HZ-A4BK TCGA-HZ-A8P1 
       19.50        27.62        17.92        10.13        21.60         0.23 
TCGA-HZ-A9TJ TCGA-IB-7644 TCGA-IB-7886 TCGA-IB-7887 TCGA-IB-8127 TCGA-IB-A5SS 
       19.82        12.95         4.04         3.62        17.16        15.12 
TCGA-IB-A7LX TCGA-IB-A7M4 TCGA-IB-AAUN TCGA-IB-AAUO TCGA-IB-AAUU TCGA-LB-A7SX 
        8.22        15.88         4.73         7.86         8.05        12.92 
TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-Q3-AA2A TCGA-RB-A7B8 TCGA-S4-A8RM 
       19.20         8.78        15.45         3.12        15.32        24.23 
TCGA-S4-A8RO TCGA-S4-A8RP TCGA-US-A776 TCGA-US-A779 TCGA-US-A77E TCGA-XD-AAUL 
       17.26        23.08        39.98        16.80        14.14        16.37 
TCGA-YH-A8SY TCGA-YY-A8LH 
       12.76        66.28 

$subtype2
TCGA-2J-AAB9 TCGA-2J-AABH TCGA-2J-AABR TCGA-2J-AABV TCGA-2L-AAQI TCGA-3A-A9I9 
       20.61        42.31        14.40        21.44         3.39        20.84 
TCGA-3A-A9IX TCGA-3E-AAAY TCGA-F2-6880 TCGA-F2-7273 TCGA-F2-A44H TCGA-F2-A7TX 
       34.09        75.12         9.50        19.46        19.27         3.12 
TCGA-FB-A4P6 TCGA-FB-A78T TCGA-FB-AAQ1 TCGA-HV-A5A5 TCGA-HZ-7918 TCGA-HZ-7922 
       11.93         0.03         4.04         9.50         0.92         0.13 
TCGA-HZ-8003 TCGA-HZ-8315 TCGA-HZ-A49G TCGA-HZ-A49H TCGA-HZ-A77O TCGA-IB-7649 
       19.59         9.83        21.70        16.14         5.26        15.35 
TCGA-IB-7651 TCGA-IB-7652 TCGA-IB-7654 TCGA-IB-7889 TCGA-IB-7891 TCGA-IB-8126 
       19.82        23.80        15.65        15.81        21.30         2.47 
TCGA-IB-A5SP TCGA-IB-A6UF TCGA-IB-A6UG TCGA-IB-AAUM TCGA-IB-AAUT TCGA-LB-A8F3 
       15.85        21.90         1.35         0.26         9.44        12.46 
TCGA-LB-A9Q5 TCGA-RL-AAAS TCGA-US-A774 TCGA-US-A77G TCGA-XN-A8T3 
       10.29         0.30        22.85         0.39        31.27 

$subtype3
TCGA-2J-AABA TCGA-2J-AABP TCGA-2J-AABT TCGA-2L-AAQE TCGA-3A-A9IB TCGA-3E-AAAZ 
       19.96        15.22        10.49        22.49         7.36        71.74 
TCGA-FB-A4P5 TCGA-FB-A5VM TCGA-FB-A7DR TCGA-FB-AAPS TCGA-HZ-7925 TCGA-HZ-7926 
        5.88        16.37        11.61         7.50        20.19        17.03 
TCGA-HZ-8001 TCGA-HZ-8002 TCGA-HZ-8005 TCGA-HZ-8317 TCGA-HZ-8638 TCGA-HZ-A4BH 
       23.21        12.03         3.95        12.43         4.96         6.38 
TCGA-HZ-A77P TCGA-HZ-A77Q TCGA-IB-7645 TCGA-IB-7646 TCGA-IB-7885 TCGA-IB-7893 
       10.85         1.08        49.38         4.77        41.33         3.85 
TCGA-IB-A5ST TCGA-IB-AAUP TCGA-IB-AAUR TCGA-IB-AAUS TCGA-IB-AAUW TCGA-L1-A7W4 
       20.88        14.17        11.11         7.40         7.56         9.14 
TCGA-Q3-A5QY TCGA-US-A77J TCGA-XD-AAUI TCGA-XN-A8T5 TCGA-Z5-AAPL 
       13.68        18.67        12.03        23.67        15.35 

$subtype4
TCGA-2J-AABK TCGA-2J-AABO TCGA-2L-AAQL TCGA-2L-AAQM TCGA-3A-A9I5 TCGA-3A-A9IH 
       15.91        14.47         9.60        45.47        58.98        33.57 
TCGA-3A-A9IJ TCGA-3A-A9IL TCGA-3A-A9IN TCGA-3A-A9IO TCGA-3A-A9IR TCGA-3A-A9IS 
       60.95        90.12        68.52        63.85        50.70        32.81 
TCGA-3A-A9IV TCGA-F2-7276 TCGA-FB-AAPQ TCGA-FB-AAQ2 TCGA-H6-A45N TCGA-HZ-7920 
       36.26         7.10        37.15         5.03        13.84         7.76 
TCGA-HZ-7923 TCGA-HZ-8519 TCGA-IB-7647 TCGA-IB-7888 TCGA-IB-7890 TCGA-IB-7897 
        0.26        14.93        21.90        43.79        19.66        15.98 
TCGA-IB-A5SO TCGA-IB-A5SQ TCGA-IB-AAUQ TCGA-IB-AAUV TCGA-RB-AA9M TCGA-XD-AAUG 
       12.00         7.20         6.02        13.28         9.40        13.81 
TCGA-XD-AAUH TCGA-YB-A89D 
       12.99        11.51 

subtype1 subtype2 subtype3 subtype4 
    0.23     0.03     1.08     0.26 
subtype1 subtype2 subtype3 subtype4 
   66.94    75.12    71.74    90.12 
subtype1 subtype2 subtype3 subtype4 
  15.385   15.350   12.030   15.420 
[1] "0.2 - 66.9 (15.4)" "0.0 - 75.1 (15.3)" "1.1 - 71.7 (12.0)"
[4] "0.3 - 90.1 (15.4)"
D7V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        1        3        15        45         2        3
  subtype2       0        1        2         7        30         1        0
  subtype3       0        1        2         4        27         1        0
  subtype4       1        2        8         2        17         0        1
D7V3, multiclass
           clus
vv          subtype1 subtype2 subtype3 subtype4
  STAGE I          0        0        0        1
  STAGE IA         1        1        1        2
  STAGE IB         3        2        2        8
  STAGE IIA       15        7        4        2
  STAGE IIB       45       30       27       17
  STAGE III        2        1        1        0
  STAGE IV         3        0        0        1
[1] 7 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  1  6 61  1
  subtype2  1  7 32  1
  subtype3  1  3 30  1
  subtype4  4  8 19  0
D7V4, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4
  T1        1        1        1        4
  T2        6        7        3        8
  T3       61       32       30       19
  T4        1        1        1        0
[1] 4 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V5, binary
          cls
clus        0  1
  subtype1 20 48
  subtype2 10 31
  subtype3  7 27
  subtype4 12 18
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   20   48
  subtype2   10   31
  subtype3    7   27
  subtype4   12   18
   clus
vv  subtype1 subtype2 subtype3 subtype4
  0       20       10        7       12
  1       48       31       27       18
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V6, binary
          cls
clus        0  1
  subtype1 25  3
  subtype2 25  0
  subtype3 18  0
  subtype4 12  1
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   25    3
  subtype2   25    0
  subtype3   18    0
  subtype4   12    1
   clus
vv  subtype1 subtype2 subtype3 subtype4
  0       25       25       18       12
  1        3        0        0        1
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V7, binary
          cls
clus        0  1
  subtype1 29 40
  subtype2 20 21
  subtype3 18 17
  subtype4 13 20
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   29   40
  subtype2   20   21
  subtype3   18   17
  subtype4   13   20
        clus
vv       subtype1 subtype2 subtype3 subtype4
  FEMALE       29       20       18       13
  MALE         40       21       17       20
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V8, binary
          cls
clus        0  1
  subtype1 43 20
  subtype2 26 10
  subtype3 25  3
  subtype4 22  9
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   43   20
  subtype2   26   10
  subtype3   25    3
  subtype4   22    9
     clus
vv    subtype1 subtype2 subtype3 subtype4
  NO        43       26       25       22
  YES       20       10        3        9
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  56
  subtype2                                  39
  subtype3                                  29
  subtype4                                  23
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                    11
  subtype2                                     1
  subtype3                                     3
  subtype4                                    10
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                1
  subtype2                                                1
  subtype3                                                2
  subtype4                                                0
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   0
  subtype2                                   0
  subtype3                                   1
  subtype4                                   0
D7V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    56       39       29
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                  11        1        3
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1        1        2
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     0        0        1
                                                  clus
vv                                                 subtype4
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    23
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                  10
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        0
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     0
[1] 4 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V10, continuous
D7V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 37 22  3  2
  subtype2 23 15  0  0
  subtype3 22 10  1  1
  subtype4 24  6  1  1
D7V12, multiclass
    clus
vv   subtype1 subtype2 subtype3 subtype4
  R0       37       23       22       24
  R1       22       15       10        6
  R2        3        0        1        1
  RX        2        0        1        1
[1] 4 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     8                         2    58
  subtype2     2                         2    36
  subtype3     1                         1    32
  subtype4     0                         1    31
D7V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3 subtype4
  ASIAN                            8        2        1        0
  BLACK OR AFRICAN AMERICAN        2        2        1        1
  WHITE                           58       36       32       31
[1] 3 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D7V15, binary
          cls
clus        0  1
  subtype1  1 48
  subtype2  1 30
  subtype3  2 27
  subtype4  1 26
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    1   48
  subtype2    1   30
  subtype3    2   27
  subtype4    1   26
                        clus
vv                       subtype1 subtype2 subtype3 subtype4
  HISPANIC OR LATINO            1        1        2        1
  NOT HISPANIC OR LATINO       48       30       27       26
[1] 2 4
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(8) Variable = MIRSEQ_CHIERARCHICAL
D8V1, survival
          sevent
clus2       0  1
  subtype1 45 56
  subtype2 23 20
  subtype3 19 13
subtype1 subtype2 subtype3 
     101       43       32 
subtype1 subtype2 subtype3 
      56       20       13 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB4 TCGA-2J-AAB6 TCGA-2J-AAB8 TCGA-2J-AABA TCGA-2J-AABE 
        2.17        23.97         9.63         2.63        19.96        22.22 
TCGA-2J-AABF TCGA-2J-AABI TCGA-2J-AABO TCGA-2J-AABP TCGA-2J-AABT TCGA-2J-AABU 
       22.72        31.86        14.47        15.22        10.49         9.11 
TCGA-2L-AAQA TCGA-2L-AAQE TCGA-2L-AAQJ TCGA-3A-A9I7 TCGA-3A-A9IB TCGA-3A-A9IC 
        4.70        22.49        12.95        43.50         7.36        24.26 
TCGA-3A-A9IU TCGA-3A-A9IZ TCGA-3A-A9J0 TCGA-3E-AAAZ TCGA-F2-6879 TCGA-F2-A44G 
       15.06        10.13        24.43        71.74        10.98         7.66 
TCGA-F2-A8YN TCGA-FB-A545 TCGA-FB-A7DR TCGA-FB-AAPP TCGA-FB-AAPQ TCGA-FB-AAPU 
       17.00        12.66        11.61        15.95        37.15        12.53 
TCGA-FB-AAPY TCGA-FB-AAPZ TCGA-FB-AAQ0 TCGA-FB-AAQ1 TCGA-FB-AAQ6 TCGA-H6-8124 
       34.82        23.54        15.55         4.04         8.02        12.89 
TCGA-H8-A6C1 TCGA-HV-A5A3 TCGA-HV-A5A4 TCGA-HV-A5A6 TCGA-HV-A7OL TCGA-HV-A7OP 
       22.06         4.21         7.63        66.94         8.28        32.15 
TCGA-HV-AA8V TCGA-HV-AA8X TCGA-HZ-7289 TCGA-HZ-7919 TCGA-HZ-7922 TCGA-HZ-7924 
       30.25        17.49        21.73        19.50         0.13        27.62 
TCGA-HZ-7925 TCGA-HZ-7926 TCGA-HZ-8005 TCGA-HZ-8315 TCGA-HZ-8636 TCGA-HZ-8638 
       20.19        17.03         3.95         9.83        17.92         4.96 
TCGA-HZ-A49I TCGA-HZ-A4BK TCGA-HZ-A77P TCGA-HZ-A77Q TCGA-HZ-A8P1 TCGA-HZ-A9TJ 
       10.13        21.60        10.85         1.08         0.23        19.82 
TCGA-IB-7644 TCGA-IB-7646 TCGA-IB-7651 TCGA-IB-7885 TCGA-IB-7886 TCGA-IB-7887 
       12.95         4.77        19.82        41.33         4.04         3.62 
TCGA-IB-7890 TCGA-IB-7893 TCGA-IB-8127 TCGA-IB-A5SO TCGA-IB-A5SP TCGA-IB-A5SS 
       19.66         3.85        17.16        12.00        15.85        15.12 
TCGA-IB-A5ST TCGA-IB-A6UF TCGA-IB-A7LX TCGA-IB-A7M4 TCGA-IB-AAUN TCGA-IB-AAUO 
       20.88        21.90         8.22        15.88         4.73         7.86 
TCGA-IB-AAUP TCGA-IB-AAUQ TCGA-IB-AAUS TCGA-IB-AAUU TCGA-L1-A7W4 TCGA-LB-A7SX 
       14.17         6.02         7.40         8.05         9.14        12.92 
TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-Q3-A5QY TCGA-Q3-AA2A TCGA-RB-A7B8 
       19.20         8.78        15.45        13.68         3.12        15.32 
TCGA-S4-A8RM TCGA-S4-A8RO TCGA-S4-A8RP TCGA-US-A776 TCGA-US-A779 TCGA-US-A77E 
       24.23        17.26        23.08        39.98        16.80        14.14 
TCGA-XD-AAUL TCGA-YB-A89D TCGA-YH-A8SY TCGA-YY-A8LH TCGA-Z5-AAPL 
       16.37        11.51        12.76        66.28        15.35 

$subtype2
TCGA-2J-AAB9 TCGA-2J-AABH TCGA-2J-AABK TCGA-2J-AABR TCGA-2J-AABV TCGA-2L-AAQI 
       20.61        42.31        15.91        14.40        21.44         3.39 
TCGA-3A-A9I9 TCGA-3A-A9IJ TCGA-3A-A9IX TCGA-3E-AAAY TCGA-F2-6880 TCGA-F2-7273 
       20.84        60.95        34.09        75.12         9.50        19.46 
TCGA-F2-7276 TCGA-F2-A44H TCGA-F2-A7TX TCGA-FB-A4P6 TCGA-FB-A78T TCGA-FB-AAPS 
        7.10        19.27         3.12        11.93         0.03         7.50 
TCGA-FB-AAQ3 TCGA-HV-A5A5 TCGA-HZ-7918 TCGA-HZ-8002 TCGA-HZ-8003 TCGA-HZ-8317 
        1.02         9.50         0.92        12.03        19.59        12.43 
TCGA-HZ-A49G TCGA-HZ-A49H TCGA-HZ-A77O TCGA-IB-7649 TCGA-IB-7652 TCGA-IB-7654 
       21.70        16.14         5.26        15.35        23.80        15.65 
TCGA-IB-7889 TCGA-IB-7891 TCGA-IB-8126 TCGA-IB-A6UG TCGA-IB-AAUM TCGA-IB-AAUT 
       15.81        21.30         2.47         1.35         0.26         9.44 
TCGA-IB-AAUW TCGA-LB-A8F3 TCGA-LB-A9Q5 TCGA-RL-AAAS TCGA-US-A774 TCGA-US-A77G 
        7.56        12.46        10.29         0.30        22.85         0.39 
TCGA-XN-A8T3 
       31.27 

$subtype3
TCGA-2L-AAQL TCGA-2L-AAQM TCGA-3A-A9I5 TCGA-3A-A9IH TCGA-3A-A9IL TCGA-3A-A9IN 
        9.60        45.47        58.98        33.57        90.12        68.52 
TCGA-3A-A9IO TCGA-3A-A9IR TCGA-3A-A9IS TCGA-3A-A9IV TCGA-FB-A4P5 TCGA-FB-A5VM 
       63.85        50.70        32.81        36.26         5.88        16.37 
TCGA-FB-AAQ2 TCGA-H6-A45N TCGA-HZ-7920 TCGA-HZ-7923 TCGA-HZ-8001 TCGA-HZ-8519 
        5.03        13.84         7.76         0.26        23.21        14.93 
TCGA-HZ-A4BH TCGA-IB-7645 TCGA-IB-7647 TCGA-IB-7888 TCGA-IB-7897 TCGA-IB-A5SQ 
        6.38        49.38        21.90        43.79        15.98         7.20 
TCGA-IB-AAUR TCGA-IB-AAUV TCGA-RB-AA9M TCGA-US-A77J TCGA-XD-AAUG TCGA-XD-AAUH 
       11.11        13.28         9.40        18.67        13.81        12.99 
TCGA-XD-AAUI TCGA-XN-A8T5 
       12.03        23.67 

subtype1 subtype2 subtype3 
    0.13     0.03     0.26 
subtype1 subtype2 subtype3 
   71.74    75.12    90.12 
subtype1 subtype2 subtype3 
  15.060   12.460   16.175 
[1] "0.1 - 71.7 (15.1)" "0.0 - 75.1 (12.5)" "0.3 - 90.1 (16.2)"
D8V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        2        4        21        70         2        3
  subtype2       0        1        3         5        33         1        0
  subtype3       1        2        8         2        16         1        1
D8V3, multiclass
           clus
vv          subtype1 subtype2 subtype3
  STAGE I          0        0        1
  STAGE IA         2        1        2
  STAGE IB         4        3        8
  STAGE IIA       21        5        2
  STAGE IIB       70       33       16
  STAGE III        2        1        1
  STAGE IV         3        0        1
[1] 7 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  2  7 92  1
  subtype2  1  9 32  1
  subtype3  4  8 18  1
D8V4, multiclass
    clus
vv   subtype1 subtype2 subtype3
  T1        2        1        4
  T2        7        9        8
  T3       92       32       18
  T4        1        1        1
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V5, binary
          cls
clus        0  1
  subtype1 27 73
  subtype2  9 34
  subtype3 13 17
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   27   73
  subtype2    9   34
  subtype3   13   17
   clus
vv  subtype1 subtype2 subtype3
  0       27        9       13
  1       73       34       17
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V6, binary
          cls
clus        0  1
  subtype1 45  3
  subtype2 25  0
  subtype3 10  1
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   45    3
  subtype2   25    0
  subtype3   10    1
   clus
vv  subtype1 subtype2 subtype3
  0       45       25       10
  1        3        0        1
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V7, binary
          cls
clus        0  1
  subtype1 41 61
  subtype2 21 22
  subtype3 18 15
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   41   61
  subtype2   21   22
  subtype3   18   15
        clus
vv       subtype1 subtype2 subtype3
  FEMALE       41       21       18
  MALE         61       22       15
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V8, binary
          cls
clus        0  1
  subtype1 68 22
  subtype2 27 13
  subtype3 21  7
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   68   22
  subtype2   27   13
  subtype3   21    7
     clus
vv    subtype1 subtype2 subtype3
  NO        68       27       21
  YES       22       13        7
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  84
  subtype2                                  40
  subtype3                                  23
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                    13
  subtype2                                     2
  subtype3                                    10
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                3
  subtype2                                                1
  subtype3                                                0
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   1
  subtype2                                   0
  subtype3                                   0
D8V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    84       40       23
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                  13        2       10
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        3        1        0
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     1        0        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V10, continuous
D8V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 57 32  4  3
  subtype2 27 13  0  0
  subtype3 22  8  1  1
D8V12, multiclass
    clus
vv   subtype1 subtype2 subtype3
  R0       57       27       22
  R1       32       13        8
  R2        4        0        1
  RX        3        0        1
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     9                         3    88
  subtype2     2                         2    38
  subtype3     0                         1    31
D8V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3
  ASIAN                            9        2        0
  BLACK OR AFRICAN AMERICAN        3        2        1
  WHITE                           88       38       31
[1] 3 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D8V15, binary
          cls
clus        0  1
  subtype1  2 72
  subtype2  1 32
  subtype3  2 27
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    2   72
  subtype2    1   32
  subtype3    2   27
                        clus
vv                       subtype1 subtype2 subtype3
  HISPANIC OR LATINO            2        1        2
  NOT HISPANIC OR LATINO       72       32       27
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(9) Variable = MIRSEQ_MATURE_CNMF
D9V1, survival
          sevent
clus2       0  1
  subtype1 28 40
  subtype2 35 32
  subtype3 22 15
subtype1 subtype2 subtype3 
      68       67       37 
subtype1 subtype2 subtype3 
      40       32       15 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB6 TCGA-2J-AAB8 TCGA-2J-AABE TCGA-2J-AABI TCGA-2J-AABP 
        2.17         9.63         2.63        22.22        31.86        15.22 
TCGA-2J-AABU TCGA-2L-AAQA TCGA-2L-AAQE TCGA-2L-AAQJ TCGA-3A-A9IC TCGA-3A-A9IU 
        9.11         4.70        22.49        12.95        24.26        15.06 
TCGA-3A-A9IZ TCGA-3A-A9J0 TCGA-F2-6879 TCGA-F2-A44G TCGA-F2-A8YN TCGA-FB-A545 
       10.13        24.43        10.98         7.66        17.00        12.66 
TCGA-FB-A78T TCGA-FB-AAPP TCGA-FB-AAPU TCGA-FB-AAPY TCGA-FB-AAPZ TCGA-FB-AAQ0 
        0.03        15.95        12.53        34.82        23.54        15.55 
TCGA-FB-AAQ3 TCGA-FB-AAQ6 TCGA-H6-8124 TCGA-H8-A6C1 TCGA-HV-A5A3 TCGA-HV-A5A4 
        1.02         8.02        12.89        22.06         4.21         7.63 
TCGA-HV-A5A6 TCGA-HV-A7OL TCGA-HV-AA8X TCGA-HZ-7919 TCGA-HZ-7922 TCGA-HZ-7924 
       66.94         8.28        17.49        19.50         0.13        27.62 
TCGA-HZ-8315 TCGA-HZ-8636 TCGA-HZ-A49I TCGA-HZ-A77O TCGA-HZ-A9TJ TCGA-IB-7644 
        9.83        17.92        10.13         5.26        19.82        12.95 
TCGA-IB-7646 TCGA-IB-7651 TCGA-IB-7885 TCGA-IB-7886 TCGA-IB-7887 TCGA-IB-8127 
        4.77        19.82        41.33         4.04         3.62        17.16 
TCGA-IB-A5SS TCGA-IB-A6UF TCGA-IB-A7LX TCGA-IB-AAUN TCGA-IB-AAUO TCGA-L1-A7W4 
       15.12        21.90         8.22         4.73         7.86         9.14 
TCGA-LB-A7SX TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-Q3-A5QY TCGA-Q3-AA2A 
       12.92        19.20         8.78        15.45        13.68         3.12 
TCGA-RB-A7B8 TCGA-S4-A8RM TCGA-US-A776 TCGA-US-A77E TCGA-XD-AAUL TCGA-YH-A8SY 
       15.32        24.23        39.98        14.14        16.37        12.76 
TCGA-YY-A8LH TCGA-Z5-AAPL 
       66.28        15.35 

$subtype2
TCGA-2J-AAB4 TCGA-2J-AAB9 TCGA-2J-AABA TCGA-2J-AABK TCGA-2J-AABO TCGA-2J-AABR 
       23.97        20.61        19.96        15.91        14.47        14.40 
TCGA-2J-AABT TCGA-2L-AAQM TCGA-3A-A9I5 TCGA-3A-A9IH TCGA-3A-A9IJ TCGA-3A-A9IV 
       10.49        45.47        58.98        33.57        60.95        36.26 
TCGA-3E-AAAY TCGA-3E-AAAZ TCGA-F2-7273 TCGA-F2-7276 TCGA-FB-A4P5 TCGA-FB-A4P6 
       75.12        71.74        19.46         7.10         5.88        11.93 
TCGA-FB-A5VM TCGA-FB-A7DR TCGA-FB-AAPQ TCGA-FB-AAPS TCGA-H6-A45N TCGA-HV-A5A5 
       16.37        11.61        37.15         7.50        13.84         9.50 
TCGA-HV-AA8V TCGA-HZ-7918 TCGA-HZ-7920 TCGA-HZ-7923 TCGA-HZ-7925 TCGA-HZ-7926 
       30.25         0.92         7.76         0.26        20.19        17.03 
TCGA-HZ-8001 TCGA-HZ-8002 TCGA-HZ-8003 TCGA-HZ-8317 TCGA-HZ-8519 TCGA-HZ-8638 
       23.21        12.03        19.59        12.43        14.93         4.96 
TCGA-HZ-A49G TCGA-HZ-A4BH TCGA-HZ-A77P TCGA-IB-7645 TCGA-IB-7647 TCGA-IB-7649 
       21.70         6.38        10.85        49.38        21.90        15.35 
TCGA-IB-7652 TCGA-IB-7654 TCGA-IB-7888 TCGA-IB-7889 TCGA-IB-7890 TCGA-IB-7891 
       23.80        15.65        43.79        15.81        19.66        21.30 
TCGA-IB-7893 TCGA-IB-7897 TCGA-IB-8126 TCGA-IB-A5SO TCGA-IB-A5SQ TCGA-IB-A5ST 
        3.85        15.98         2.47        12.00         7.20        20.88 
TCGA-IB-AAUP TCGA-IB-AAUQ TCGA-IB-AAUR TCGA-IB-AAUS TCGA-IB-AAUV TCGA-IB-AAUW 
       14.17         6.02        11.11         7.40        13.28         7.56 
TCGA-RB-AA9M TCGA-RL-AAAS TCGA-US-A77J TCGA-XD-AAUG TCGA-XD-AAUH TCGA-XD-AAUI 
        9.40         0.30        18.67        13.81        12.99        12.03 
TCGA-XN-A8T5 
       23.67 

$subtype3
TCGA-2J-AABF TCGA-2J-AABH TCGA-2L-AAQI TCGA-2L-AAQL TCGA-3A-A9I7 TCGA-3A-A9I9 
       22.72        42.31         3.39         9.60        43.50        20.84 
TCGA-3A-A9IB TCGA-3A-A9IL TCGA-3A-A9IN TCGA-3A-A9IO TCGA-3A-A9IR TCGA-3A-A9IS 
        7.36        90.12        68.52        63.85        50.70        32.81 
TCGA-3A-A9IX TCGA-F2-A44H TCGA-F2-A7TX TCGA-FB-AAQ1 TCGA-FB-AAQ2 TCGA-HZ-7289 
       34.09        19.27         3.12         4.04         5.03        21.73 
TCGA-HZ-A49H TCGA-HZ-A4BK TCGA-HZ-A77Q TCGA-HZ-A8P1 TCGA-IB-A5SP TCGA-IB-A6UG 
       16.14        21.60         1.08         0.23        15.85         1.35 
TCGA-IB-A7M4 TCGA-IB-AAUM TCGA-IB-AAUT TCGA-IB-AAUU TCGA-LB-A8F3 TCGA-LB-A9Q5 
       15.88         0.26         9.44         8.05        12.46        10.29 
TCGA-S4-A8RO TCGA-S4-A8RP TCGA-US-A774 TCGA-US-A779 TCGA-US-A77G TCGA-XN-A8T3 
       17.26        23.08        22.85        16.80         0.39        31.27 
TCGA-YB-A89D 
       11.51 

subtype1 subtype2 subtype3 
    0.03     0.26     0.23 
subtype1 subtype2 subtype3 
   66.94    75.12    90.12 
subtype1 subtype2 subtype3 
  13.315   14.930   16.140 
[1] "0.0 - 66.9 (13.3)" "0.3 - 75.1 (14.9)" "0.2 - 90.1 (16.1)"
D9V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        1        2        17        44         2        3
  subtype2       0        3        8         6        47         2        1
  subtype3       1        1        5         5        24         0        0
D9V3, multiclass
           clus
vv          subtype1 subtype2 subtype3
  STAGE I          0        0        1
  STAGE IA         1        3        1
  STAGE IB         2        8        5
  STAGE IIA       17        6        5
  STAGE IIB       44       47       24
  STAGE III        2        2        0
  STAGE IV         3        1        0
[1] 7 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  1  5 62  1
  subtype2  4 12 49  2
  subtype3  2  7 27  0
D9V4, multiclass
    clus
vv   subtype1 subtype2 subtype3
  T1        1        4        2
  T2        5       12        7
  T3       62       49       27
  T4        1        2        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V5, binary
          cls
clus        0  1
  subtype1 21 47
  subtype2 18 49
  subtype3 10 24
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   21   47
  subtype2   18   49
  subtype3   10   24
   clus
vv  subtype1 subtype2 subtype3
  0       21       18       10
  1       47       49       24
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V6, binary
          cls
clus        0  1
  subtype1 30  3
  subtype2 37  1
  subtype3 10  0
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   30    3
  subtype2   37    1
  subtype3   10    0
   clus
vv  subtype1 subtype2 subtype3
  0       30       37       10
  1        3        1        0
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V7, binary
          cls
clus        0  1
  subtype1 35 34
  subtype2 32 36
  subtype3 13 24
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   35   34
  subtype2   32   36
  subtype3   13   24
        clus
vv       subtype1 subtype2 subtype3
  FEMALE       35       32       13
  MALE         34       36       24
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V8, binary
          cls
clus        0  1
  subtype1 48 14
  subtype2 44 14
  subtype3 21 13
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   48   14
  subtype2   44   14
  subtype3   21   13
     clus
vv    subtype1 subtype2 subtype3
  NO        48       44       21
  YES       14       14       13
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  59
  subtype2                                  58
  subtype3                                  27
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                     7
  subtype2                                     8
  subtype3                                     9
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                1
  subtype2                                                2
  subtype3                                                1
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   1
  subtype2                                   0
  subtype3                                   0
D9V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    59       58       27
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                   7        8        9
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        1        2        1
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     1        0        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V10, continuous
D9V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 38 22  3  1
  subtype2 43 17  2  1
  subtype3 23 12  0  2
D9V12, multiclass
    clus
vv   subtype1 subtype2 subtype3
  R0       38       43       23
  R1       22       17       12
  R2        3        2        0
  RX        1        1        2
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     6                         1    61
  subtype2     4                         3    58
  subtype3     0                         2    35
D9V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3
  ASIAN                            6        4        0
  BLACK OR AFRICAN AMERICAN        1        3        2
  WHITE                           61       58       35
[1] 3 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D9V15, binary
          cls
clus        0  1
  subtype1  1 51
  subtype2  3 50
  subtype3  1 29
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    1   51
  subtype2    3   50
  subtype3    1   29
                        clus
vv                       subtype1 subtype2 subtype3
  HISPANIC OR LATINO            1        3        1
  NOT HISPANIC OR LATINO       51       50       29
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(10) Variable = MIRSEQ_MATURE_CHIERARCHICAL
D10V1, survival
          sevent
clus2       0  1
  subtype1 38 48
  subtype2 23 24
  subtype3 24 15
subtype1 subtype2 subtype3 
      86       47       39 
subtype1 subtype2 subtype3 
      48       24       15 
$subtype1
TCGA-2J-AAB1 TCGA-2J-AAB4 TCGA-2J-AAB6 TCGA-2J-AAB8 TCGA-2J-AABA TCGA-2J-AABE 
        2.17        23.97         9.63         2.63        19.96        22.22 
TCGA-2J-AABI TCGA-2J-AABO TCGA-2J-AABP TCGA-2J-AABT TCGA-2J-AABU TCGA-2L-AAQA 
       31.86        14.47        15.22        10.49         9.11         4.70 
TCGA-2L-AAQE TCGA-2L-AAQJ TCGA-3A-A9I7 TCGA-3A-A9IB TCGA-3A-A9IC TCGA-3A-A9IZ 
       22.49        12.95        43.50         7.36        24.26        10.13 
TCGA-3A-A9J0 TCGA-3E-AAAZ TCGA-F2-6879 TCGA-F2-A44G TCGA-F2-A8YN TCGA-FB-A545 
       24.43        71.74        10.98         7.66        17.00        12.66 
TCGA-FB-A7DR TCGA-FB-AAPP TCGA-FB-AAPQ TCGA-FB-AAPU TCGA-FB-AAPY TCGA-FB-AAPZ 
       11.61        15.95        37.15        12.53        34.82        23.54 
TCGA-FB-AAQ0 TCGA-FB-AAQ1 TCGA-FB-AAQ2 TCGA-FB-AAQ6 TCGA-H6-8124 TCGA-HV-A5A3 
       15.55         4.04         5.03         8.02        12.89         4.21 
TCGA-HV-A5A4 TCGA-HV-A5A6 TCGA-HV-A7OL TCGA-HV-AA8V TCGA-HV-AA8X TCGA-HZ-7289 
        7.63        66.94         8.28        30.25        17.49        21.73 
TCGA-HZ-7919 TCGA-HZ-7924 TCGA-HZ-7925 TCGA-HZ-8638 TCGA-HZ-A49I TCGA-HZ-A77P 
       19.50        27.62        20.19         4.96        10.13        10.85 
TCGA-HZ-A77Q TCGA-HZ-A8P1 TCGA-HZ-A9TJ TCGA-IB-7644 TCGA-IB-7646 TCGA-IB-7885 
        1.08         0.23        19.82        12.95         4.77        41.33 
TCGA-IB-7886 TCGA-IB-7890 TCGA-IB-7893 TCGA-IB-A5SO TCGA-IB-A5SP TCGA-IB-A5SS 
        4.04        19.66         3.85        12.00        15.85        15.12 
TCGA-IB-A5ST TCGA-IB-A7LX TCGA-IB-A7M4 TCGA-IB-AAUO TCGA-IB-AAUQ TCGA-IB-AAUU 
       20.88         8.22        15.88         7.86         6.02         8.05 
TCGA-L1-A7W4 TCGA-LB-A7SX TCGA-M8-A5N4 TCGA-OE-A75W TCGA-PZ-A5RE TCGA-Q3-A5QY 
        9.14        12.92        19.20         8.78        15.45        13.68 
TCGA-Q3-AA2A TCGA-RB-A7B8 TCGA-S4-A8RM TCGA-S4-A8RO TCGA-S4-A8RP TCGA-US-A776 
        3.12        15.32        24.23        17.26        23.08        39.98 
TCGA-US-A779 TCGA-US-A77E TCGA-XD-AAUG TCGA-XD-AAUL TCGA-YB-A89D TCGA-YH-A8SY 
       16.80        14.14        13.81        16.37        11.51        12.76 
TCGA-YY-A8LH TCGA-Z5-AAPL 
       66.28        15.35 

$subtype2
TCGA-2J-AAB9 TCGA-2J-AABF TCGA-2J-AABH TCGA-2J-AABK TCGA-2J-AABR TCGA-2L-AAQI 
       20.61        22.72        42.31        15.91        14.40         3.39 
TCGA-3A-A9I9 TCGA-3A-A9IU TCGA-3A-A9IX TCGA-F2-A44H TCGA-F2-A7TX TCGA-FB-A4P6 
       20.84        15.06        34.09        19.27         3.12        11.93 
TCGA-FB-A78T TCGA-FB-AAQ3 TCGA-H6-A45N TCGA-H8-A6C1 TCGA-HV-A5A5 TCGA-HZ-7918 
        0.03         1.02        13.84        22.06         9.50         0.92 
TCGA-HZ-7922 TCGA-HZ-7926 TCGA-HZ-8003 TCGA-HZ-8315 TCGA-HZ-8317 TCGA-HZ-8636 
        0.13        17.03        19.59         9.83        12.43        17.92 
TCGA-HZ-A49G TCGA-HZ-A49H TCGA-HZ-A4BK TCGA-HZ-A77O TCGA-IB-7649 TCGA-IB-7651 
       21.70        16.14        21.60         5.26        15.35        19.82 
TCGA-IB-7652 TCGA-IB-7654 TCGA-IB-7887 TCGA-IB-7889 TCGA-IB-7891 TCGA-IB-8126 
       23.80        15.65         3.62        15.81        21.30         2.47 
TCGA-IB-8127 TCGA-IB-A6UF TCGA-IB-A6UG TCGA-IB-AAUM TCGA-IB-AAUN TCGA-IB-AAUT 
       17.16        21.90         1.35         0.26         4.73         9.44 
TCGA-LB-A8F3 TCGA-LB-A9Q5 TCGA-US-A774 TCGA-US-A77G TCGA-XN-A8T3 
       12.46        10.29        22.85         0.39        31.27 

$subtype3
TCGA-2L-AAQL TCGA-2L-AAQM TCGA-3A-A9I5 TCGA-3A-A9IH TCGA-3A-A9IJ TCGA-3A-A9IL 
        9.60        45.47        58.98        33.57        60.95        90.12 
TCGA-3A-A9IN TCGA-3A-A9IO TCGA-3A-A9IR TCGA-3A-A9IS TCGA-3A-A9IV TCGA-3E-AAAY 
       68.52        63.85        50.70        32.81        36.26        75.12 
TCGA-F2-7273 TCGA-F2-7276 TCGA-FB-A4P5 TCGA-FB-A5VM TCGA-FB-AAPS TCGA-HZ-7920 
       19.46         7.10         5.88        16.37         7.50         7.76 
TCGA-HZ-7923 TCGA-HZ-8001 TCGA-HZ-8002 TCGA-HZ-8519 TCGA-HZ-A4BH TCGA-IB-7645 
        0.26        23.21        12.03        14.93         6.38        49.38 
TCGA-IB-7647 TCGA-IB-7888 TCGA-IB-7897 TCGA-IB-A5SQ TCGA-IB-AAUP TCGA-IB-AAUR 
       21.90        43.79        15.98         7.20        14.17        11.11 
TCGA-IB-AAUS TCGA-IB-AAUV TCGA-IB-AAUW TCGA-RB-AA9M TCGA-RL-AAAS TCGA-US-A77J 
        7.40        13.28         7.56         9.40         0.30        18.67 
TCGA-XD-AAUH TCGA-XD-AAUI TCGA-XN-A8T5 
       12.99        12.03        23.67 

subtype1 subtype2 subtype3 
    0.23     0.03     0.26 
subtype1 subtype2 subtype3 
   71.74    42.31    90.12 
subtype1 subtype2 subtype3 
  13.975   15.350   15.980 
[1] "0.2 - 71.7 (14.0)" "0.0 - 42.3 (15.3)" "0.3 - 90.1 (16.0)"
D10V2, continuous
          vv
clus       STAGE I STAGE IA STAGE IB STAGE IIA STAGE IIB STAGE III STAGE IV
  subtype1       0        2        3        19        57         2        3
  subtype2       0        1        2         7        36         1        1
  subtype3       1        2       10         2        22         1        0
D10V3, multiclass
           clus
vv          subtype1 subtype2 subtype3
  STAGE I          0        0        1
  STAGE IA         2        1        2
  STAGE IB         3        2       10
  STAGE IIA       19        7        2
  STAGE IIB       57       36       22
  STAGE III        2        1        1
  STAGE IV         3        1        0
[1] 7 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       T1 T2 T3 T4
  subtype1  2  6 77  1
  subtype2  1  7 39  1
  subtype3  4 11 22  1
D10V4, multiclass
    clus
vv   subtype1 subtype2 subtype3
  T1        2        1        4
  T2        6        7       11
  T3       77       39       22
  T4        1        1        1
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V5, binary
          cls
clus        0  1
  subtype1 23 61
  subtype2 11 37
  subtype3 15 22
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   23   61
  subtype2   11   37
  subtype3   15   22
   clus
vv  subtype1 subtype2 subtype3
  0       23       11       15
  1       61       37       22
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V6, binary
          cls
clus        0  1
  subtype1 36  3
  subtype2 25  1
  subtype3 16  0
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   36    3
  subtype2   25    1
  subtype3   16    0
   clus
vv  subtype1 subtype2 subtype3
  0       36       25       16
  1        3        1        0
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V7, binary
          cls
clus        0  1
  subtype1 36 50
  subtype2 25 23
  subtype3 19 21
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   36   50
  subtype2   25   23
  subtype3   19   21
        clus
vv       subtype1 subtype2 subtype3
  FEMALE       36       25       19
  MALE         50       23       21
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V8, binary
          cls
clus        0  1
  subtype1 60 19
  subtype2 27 13
  subtype3 26  9
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1   60   19
  subtype2   27   13
  subtype3   26    9
     clus
vv    subtype1 subtype2 subtype3
  NO        60       27       26
  YES       19       13        9
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
          vv
clus       PANCREAS-ADENOCARCINOMA DUCTAL TYPE
  subtype1                                  71
  subtype2                                  43
  subtype3                                  30
          vv
clus       PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE
  subtype1                                    10
  subtype2                                     4
  subtype3                                    10
          vv
clus       PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA
  subtype1                                                3
  subtype2                                                1
  subtype3                                                0
          vv
clus       PANCREAS-UNDIFFERENTIATED CARCINOMA
  subtype1                                   1
  subtype2                                   0
  subtype3                                   0
D10V9, multiclass
                                                  clus
vv                                                 subtype1 subtype2 subtype3
  PANCREAS-ADENOCARCINOMA DUCTAL TYPE                    71       43       30
  PANCREAS-ADENOCARCINOMA-OTHER SUBTYPE                  10        4       10
  PANCREAS-COLLOID (MUCINOUS NON-CYSTIC) CARCINOMA        3        1        0
  PANCREAS-UNDIFFERENTIATED CARCINOMA                     1        0        0
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V10, continuous
D10V11, continuous
          vv
clus       R0 R1 R2 RX
  subtype1 52 22  4  2
  subtype2 25 19  0  1
  subtype3 27 10  1  1
D10V12, multiclass
    clus
vv   subtype1 subtype2 subtype3
  R0       52       25       27
  R1       22       19       10
  R2        4        0        1
  RX        2        1        1
[1] 4 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V13, continuous
          vv
clus       ASIAN BLACK OR AFRICAN AMERICAN WHITE
  subtype1     8                         2    74
  subtype2     2                         2    43
  subtype3     0                         2    37
D10V14, multiclass
                           clus
vv                          subtype1 subtype2 subtype3
  ASIAN                            8        2        0
  BLACK OR AFRICAN AMERICAN        2        2        2
  WHITE                           74       43       37
[1] 3 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D10V15, binary
          cls
clus        0  1
  subtype1  2 58
  subtype2  1 38
  subtype3  2 34
[1] "tbl2"
          cls
clus       [,1] [,2]
  subtype1    2   58
  subtype2    1   38
  subtype3    2   34
                        clus
vv                       subtype1 subtype2 subtype3
  HISPANIC OR LATINO            2        1        2
  NOT HISPANIC OR LATINO       58       38       34
[1] 2 3
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
