R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(119.992
+ ,157.302
+ ,74.997
+ ,0.00007
+ ,0.00554
+ ,122.4
+ ,148.65
+ ,113.819
+ ,0.00008
+ ,0.00696
+ ,116.682
+ ,131.111
+ ,111.555
+ ,0.00009
+ ,0.00781
+ ,116.676
+ ,137.871
+ ,111.366
+ ,0.00009
+ ,0.00698
+ ,116.014
+ ,141.781
+ ,110.655
+ ,0.00011
+ ,0.00908
+ ,120.552
+ ,131.162
+ ,113.787
+ ,0.00008
+ ,0.0075
+ ,120.267
+ ,137.244
+ ,114.82
+ ,0.00003
+ ,0.00202
+ ,107.332
+ ,113.84
+ ,104.315
+ ,0.00003
+ ,0.00182
+ ,95.73
+ ,132.068
+ ,91.754
+ ,0.00006
+ ,0.00332
+ ,95.056
+ ,120.103
+ ,91.226
+ ,0.00006
+ ,0.00332
+ ,88.333
+ ,112.24
+ ,84.072
+ ,0.00006
+ ,0.0033
+ ,91.904
+ ,115.871
+ ,86.292
+ ,0.00006
+ ,0.00336
+ ,136.926
+ ,159.866
+ ,131.276
+ ,0.00002
+ ,0.00153
+ ,139.173
+ ,179.139
+ ,76.556
+ ,0.00003
+ ,0.00208
+ ,152.845
+ ,163.305
+ ,75.836
+ ,0.00002
+ ,0.00149
+ ,142.167
+ ,217.455
+ ,83.159
+ ,0.00003
+ ,0.00203
+ ,144.188
+ ,349.259
+ ,82.764
+ ,0.00004
+ ,0.00292
+ ,168.778
+ ,232.181
+ ,75.603
+ ,0.00004
+ ,0.00387
+ ,153.046
+ ,175.829
+ ,68.623
+ ,0.00005
+ ,0.00432
+ ,156.405
+ ,189.398
+ ,142.822
+ ,0.00005
+ ,0.00399
+ ,153.848
+ ,165.738
+ ,65.782
+ ,0.00005
+ ,0.0045
+ ,153.88
+ ,172.86
+ ,78.128
+ ,0.00003
+ ,0.00267
+ ,167.93
+ ,193.221
+ ,79.068
+ ,0.00003
+ ,0.00247
+ ,173.917
+ ,192.735
+ ,86.18
+ ,0.00003
+ ,0.00258
+ ,163.656
+ ,200.841
+ ,76.779
+ ,0.00005
+ ,0.0039
+ ,104.4
+ ,206.002
+ ,77.968
+ ,0.00006
+ ,0.00375
+ ,171.041
+ ,208.313
+ ,75.501
+ ,0.00003
+ ,0.00234
+ ,146.845
+ ,208.701
+ ,81.737
+ ,0.00003
+ ,0.00275
+ ,155.358
+ ,227.383
+ ,80.055
+ ,0.00002
+ ,0.00176
+ ,162.568
+ ,198.346
+ ,77.63
+ ,0.00003
+ ,0.00253
+ ,197.076
+ ,206.896
+ ,192.055
+ ,0.00001
+ ,0.00168
+ ,199.228
+ ,209.512
+ ,192.091
+ ,0.00001
+ ,0.00138
+ ,198.383
+ ,215.203
+ ,193.104
+ ,0.00001
+ ,0.00135
+ ,202.266
+ ,211.604
+ ,197.079
+ ,0.000009
+ ,0.00107
+ ,203.184
+ ,211.526
+ ,196.16
+ ,0.000009
+ ,0.00106
+ ,201.464
+ ,210.565
+ ,195.708
+ ,0.00001
+ ,0.00115
+ ,177.876
+ ,192.921
+ ,168.013
+ ,0.00002
+ ,0.00241
+ ,176.17
+ ,185.604
+ ,163.564
+ ,0.00002
+ ,0.00218
+ ,180.198
+ ,201.249
+ ,175.456
+ ,0.00002
+ ,0.00166
+ ,187.733
+ ,202.324
+ ,173.015
+ ,0.00002
+ ,0.00182
+ ,186.163
+ ,197.724
+ ,177.584
+ ,0.00002
+ ,0.00175
+ ,184.055
+ ,196.537
+ ,166.977
+ ,0.00001
+ ,0.00147
+ ,237.226
+ ,247.326
+ ,225.227
+ ,0.00001
+ ,0.00182
+ ,241.404
+ ,248.834
+ ,232.483
+ ,0.00001
+ ,0.00173
+ ,243.439
+ ,250.912
+ ,232.435
+ ,0.000009
+ ,0.00137
+ ,242.852
+ ,255.034
+ ,227.911
+ ,0.000009
+ ,0.00139
+ ,245.51
+ ,262.09
+ ,231.848
+ ,0.00001
+ ,0.00148
+ ,252.455
+ ,261.487
+ ,182.786
+ ,0.000007
+ ,0.00113
+ ,122.188
+ ,128.611
+ ,115.765
+ ,0.00004
+ ,0.00203
+ ,122.964
+ ,130.049
+ ,114.676
+ ,0.00003
+ ,0.00155
+ ,124.445
+ ,135.069
+ ,117.495
+ ,0.00003
+ ,0.00167
+ ,126.344
+ ,134.231
+ ,112.773
+ ,0.00004
+ ,0.00169
+ ,128.001
+ ,138.052
+ ,122.08
+ ,0.00003
+ ,0.00166
+ ,129.336
+ ,139.867
+ ,118.604
+ ,0.00004
+ ,0.00183
+ ,108.807
+ ,134.656
+ ,102.874
+ ,0.00007
+ ,0.00486
+ ,109.86
+ ,126.358
+ ,104.437
+ ,0.00008
+ ,0.00539
+ ,110.417
+ ,131.067
+ ,103.37
+ ,0.00007
+ ,0.00514
+ ,117.274
+ ,129.916
+ ,110.402
+ ,0.00006
+ ,0.00469
+ ,116.879
+ ,131.897
+ ,108.153
+ ,0.00007
+ ,0.00493
+ ,114.847
+ ,271.314
+ ,104.68
+ ,0.00008
+ ,0.0052
+ ,209.144
+ ,237.494
+ ,109.379
+ ,0.00001
+ ,0.00152
+ ,223.365
+ ,238.987
+ ,98.664
+ ,0.00001
+ ,0.00151
+ ,222.236
+ ,231.345
+ ,205.495
+ ,0.00001
+ ,0.00144
+ ,228.832
+ ,234.619
+ ,223.634
+ ,0.00001
+ ,0.00155
+ ,229.401
+ ,252.221
+ ,221.156
+ ,0.000009
+ ,0.00113
+ ,228.969
+ ,239.541
+ ,113.201
+ ,0.00001
+ ,0.0014
+ ,140.341
+ ,159.774
+ ,67.021
+ ,0.00006
+ ,0.0044
+ ,136.969
+ ,166.607
+ ,66.004
+ ,0.00007
+ ,0.00463
+ ,143.533
+ ,162.215
+ ,65.809
+ ,0.00008
+ ,0.00467
+ ,148.09
+ ,162.824
+ ,67.343
+ ,0.00005
+ ,0.00354
+ ,142.729
+ ,162.408
+ ,65.476
+ ,0.00006
+ ,0.00419
+ ,136.358
+ ,176.595
+ ,65.75
+ ,0.00007
+ ,0.00478
+ ,120.08
+ ,139.71
+ ,111.208
+ ,0.00003
+ ,0.0022
+ ,112.014
+ ,588.518
+ ,107.024
+ ,0.00005
+ ,0.00329
+ ,110.793
+ ,128.101
+ ,107.316
+ ,0.00004
+ ,0.00283
+ ,110.707
+ ,122.611
+ ,105.007
+ ,0.00005
+ ,0.00289
+ ,112.876
+ ,148.826
+ ,106.981
+ ,0.00004
+ ,0.00289
+ ,110.568
+ ,125.394
+ ,106.821
+ ,0.00004
+ ,0.0028
+ ,95.385
+ ,102.145
+ ,90.264
+ ,0.00006
+ ,0.00332
+ ,100.77
+ ,115.697
+ ,85.545
+ ,0.0001
+ ,0.00576
+ ,96.106
+ ,108.664
+ ,84.51
+ ,0.00007
+ ,0.00415
+ ,95.605
+ ,107.715
+ ,87.549
+ ,0.00007
+ ,0.00371
+ ,100.96
+ ,110.019
+ ,95.628
+ ,0.00006
+ ,0.00348
+ ,98.804
+ ,102.305
+ ,87.804
+ ,0.00004
+ ,0.00258
+ ,176.858
+ ,205.56
+ ,75.344
+ ,0.00004
+ ,0.0042
+ ,180.978
+ ,200.125
+ ,155.495
+ ,0.00002
+ ,0.00244
+ ,178.222
+ ,202.45
+ ,141.047
+ ,0.00002
+ ,0.00194
+ ,176.281
+ ,227.381
+ ,125.61
+ ,0.00003
+ ,0.00312
+ ,173.898
+ ,211.35
+ ,74.677
+ ,0.00003
+ ,0.00254
+ ,179.711
+ ,225.93
+ ,144.878
+ ,0.00004
+ ,0.00419
+ ,166.605
+ ,206.008
+ ,78.032
+ ,0.00004
+ ,0.00453
+ ,151.955
+ ,163.335
+ ,147.226
+ ,0.00003
+ ,0.00227
+ ,148.272
+ ,164.989
+ ,142.299
+ ,0.00003
+ ,0.00256
+ ,152.125
+ ,161.469
+ ,76.596
+ ,0.00003
+ ,0.00226
+ ,157.821
+ ,172.975
+ ,68.401
+ ,0.00002
+ ,0.00196
+ ,157.447
+ ,163.267
+ ,149.605
+ ,0.00002
+ ,0.00197
+ ,159.116
+ ,168.913
+ ,144.811
+ ,0.00002
+ ,0.00184
+ ,125.036
+ ,143.946
+ ,116.187
+ ,0.0001
+ ,0.00623
+ ,125.791
+ ,140.557
+ ,96.206
+ ,0.00011
+ ,0.00655
+ ,126.512
+ ,141.756
+ ,99.77
+ ,0.00015
+ ,0.0099
+ ,125.641
+ ,141.068
+ ,116.346
+ ,0.00026
+ ,0.01522
+ ,128.451
+ ,150.449
+ ,75.632
+ ,0.00012
+ ,0.00909
+ ,139.224
+ ,586.567
+ ,66.157
+ ,0.00022
+ ,0.01628
+ ,150.258
+ ,154.609
+ ,75.349
+ ,0.00002
+ ,0.00136
+ ,154.003
+ ,160.267
+ ,128.621
+ ,0.00001
+ ,0.001
+ ,149.689
+ ,160.368
+ ,133.608
+ ,0.00002
+ ,0.00134
+ ,155.078
+ ,163.736
+ ,144.148
+ ,0.00001
+ ,0.00092
+ ,151.884
+ ,157.765
+ ,133.751
+ ,0.00002
+ ,0.00122
+ ,151.989
+ ,157.339
+ ,132.857
+ ,0.00001
+ ,0.00096
+ ,193.03
+ ,208.9
+ ,80.297
+ ,0.00004
+ ,0.00389
+ ,200.714
+ ,223.982
+ ,89.686
+ ,0.00003
+ ,0.00337
+ ,208.519
+ ,220.315
+ ,199.02
+ ,0.00003
+ ,0.00339
+ ,204.664
+ ,221.3
+ ,189.621
+ ,0.00004
+ ,0.00485
+ ,210.141
+ ,232.706
+ ,185.258
+ ,0.00003
+ ,0.0028
+ ,206.327
+ ,226.355
+ ,92.02
+ ,0.00002
+ ,0.00246
+ ,151.872
+ ,492.892
+ ,69.085
+ ,0.00006
+ ,0.00385
+ ,158.219
+ ,442.557
+ ,71.948
+ ,0.00003
+ ,0.00207
+ ,170.756
+ ,450.247
+ ,79.032
+ ,0.00003
+ ,0.00261
+ ,178.285
+ ,442.824
+ ,82.063
+ ,0.00003
+ ,0.00194
+ ,217.116
+ ,233.481
+ ,93.978
+ ,0.00002
+ ,0.00128
+ ,128.94
+ ,479.697
+ ,88.251
+ ,0.00005
+ ,0.00314
+ ,176.824
+ ,215.293
+ ,83.961
+ ,0.00003
+ ,0.00221
+ ,138.19
+ ,203.522
+ ,83.34
+ ,0.00005
+ ,0.00398
+ ,182.018
+ ,197.173
+ ,79.187
+ ,0.00005
+ ,0.00449
+ ,156.239
+ ,195.107
+ ,79.82
+ ,0.00004
+ ,0.00395
+ ,145.174
+ ,198.109
+ ,80.637
+ ,0.00005
+ ,0.00422
+ ,138.145
+ ,197.238
+ ,81.114
+ ,0.00004
+ ,0.00327
+ ,166.888
+ ,198.966
+ ,79.512
+ ,0.00004
+ ,0.00351
+ ,119.031
+ ,127.533
+ ,109.216
+ ,0.00004
+ ,0.00192
+ ,120.078
+ ,126.632
+ ,105.667
+ ,0.00002
+ ,0.00135
+ ,120.289
+ ,128.143
+ ,100.209
+ ,0.00004
+ ,0.00238
+ ,120.256
+ ,125.306
+ ,104.773
+ ,0.00003
+ ,0.00205
+ ,119.056
+ ,125.213
+ ,86.795
+ ,0.00003
+ ,0.0017
+ ,118.747
+ ,123.723
+ ,109.836
+ ,0.00003
+ ,0.00171
+ ,106.516
+ ,112.777
+ ,93.105
+ ,0.00006
+ ,0.00319
+ ,110.453
+ ,127.611
+ ,105.554
+ ,0.00004
+ ,0.00315
+ ,113.4
+ ,133.344
+ ,107.816
+ ,0.00004
+ ,0.00283
+ ,113.166
+ ,130.27
+ ,100.673
+ ,0.00004
+ ,0.00312
+ ,112.239
+ ,126.609
+ ,104.095
+ ,0.00004
+ ,0.0029
+ ,116.15
+ ,131.731
+ ,109.815
+ ,0.00003
+ ,0.00232
+ ,170.368
+ ,268.796
+ ,79.543
+ ,0.00003
+ ,0.00269
+ ,208.083
+ ,253.792
+ ,91.802
+ ,0.00004
+ ,0.00428
+ ,198.458
+ ,219.29
+ ,148.691
+ ,0.00002
+ ,0.00215
+ ,202.805
+ ,231.508
+ ,86.232
+ ,0.00002
+ ,0.00211
+ ,202.544
+ ,241.35
+ ,164.168
+ ,0.00001
+ ,0.00133
+ ,223.361
+ ,263.872
+ ,87.638
+ ,0.00002
+ ,0.00188
+ ,169.774
+ ,191.759
+ ,151.451
+ ,0.00009
+ ,0.00946
+ ,183.52
+ ,216.814
+ ,161.34
+ ,0.00008
+ ,0.00819
+ ,188.62
+ ,216.302
+ ,165.982
+ ,0.00009
+ ,0.01027
+ ,202.632
+ ,565.74
+ ,177.258
+ ,0.00008
+ ,0.00963
+ ,186.695
+ ,211.961
+ ,149.442
+ ,0.0001
+ ,0.01154
+ ,192.818
+ ,224.429
+ ,168.793
+ ,0.00016
+ ,0.01958
+ ,198.116
+ ,233.099
+ ,174.478
+ ,0.00014
+ ,0.01699
+ ,121.345
+ ,139.644
+ ,98.25
+ ,0.00006
+ ,0.00332
+ ,119.1
+ ,128.442
+ ,88.833
+ ,0.00006
+ ,0.003
+ ,117.87
+ ,127.349
+ ,95.654
+ ,0.00005
+ ,0.003
+ ,122.336
+ ,142.369
+ ,94.794
+ ,0.00006
+ ,0.00339
+ ,117.963
+ ,134.209
+ ,100.757
+ ,0.00015
+ ,0.00718
+ ,126.144
+ ,154.284
+ ,97.543
+ ,0.00008
+ ,0.00454
+ ,127.93
+ ,138.752
+ ,112.173
+ ,0.00005
+ ,0.00318
+ ,114.238
+ ,124.393
+ ,77.022
+ ,0.00005
+ ,0.00316
+ ,115.322
+ ,135.738
+ ,107.802
+ ,0.00005
+ ,0.00329
+ ,114.554
+ ,126.778
+ ,91.121
+ ,0.00006
+ ,0.0034
+ ,112.15
+ ,131.669
+ ,97.527
+ ,0.00005
+ ,0.00284
+ ,102.273
+ ,142.83
+ ,85.902
+ ,0.00009
+ ,0.00461
+ ,236.2
+ ,244.663
+ ,102.137
+ ,0.00001
+ ,0.00153
+ ,237.323
+ ,243.709
+ ,229.256
+ ,0.00001
+ ,0.00159
+ ,260.105
+ ,264.919
+ ,237.303
+ ,0.00001
+ ,0.00186
+ ,197.569
+ ,217.627
+ ,90.794
+ ,0.00004
+ ,0.00448
+ ,240.301
+ ,245.135
+ ,219.783
+ ,0.00002
+ ,0.00283
+ ,244.99
+ ,272.21
+ ,239.17
+ ,0.00002
+ ,0.00237
+ ,112.547
+ ,133.374
+ ,105.715
+ ,0.00003
+ ,0.0019
+ ,110.739
+ ,113.597
+ ,100.139
+ ,0.00003
+ ,0.002
+ ,113.715
+ ,116.443
+ ,96.913
+ ,0.00003
+ ,0.00203
+ ,117.004
+ ,144.466
+ ,99.923
+ ,0.00003
+ ,0.00218
+ ,115.38
+ ,123.109
+ ,108.634
+ ,0.00003
+ ,0.00199
+ ,116.388
+ ,129.038
+ ,108.97
+ ,0.00003
+ ,0.00213
+ ,151.737
+ ,190.204
+ ,129.859
+ ,0.00002
+ ,0.00162
+ ,148.79
+ ,158.359
+ ,138.99
+ ,0.00002
+ ,0.00186
+ ,148.143
+ ,155.982
+ ,135.041
+ ,0.00003
+ ,0.00231
+ ,150.44
+ ,163.441
+ ,144.736
+ ,0.00003
+ ,0.00233
+ ,148.462
+ ,161.078
+ ,141.998
+ ,0.00003
+ ,0.00235
+ ,149.818
+ ,163.417
+ ,144.786
+ ,0.00002
+ ,0.00198
+ ,117.226
+ ,123.925
+ ,106.656
+ ,0.00004
+ ,0.0027
+ ,116.848
+ ,217.552
+ ,99.503
+ ,0.00005
+ ,0.00346
+ ,116.286
+ ,177.291
+ ,96.983
+ ,0.00003
+ ,0.00192
+ ,116.556
+ ,592.03
+ ,86.228
+ ,0.00004
+ ,0.00263
+ ,116.342
+ ,581.289
+ ,94.246
+ ,0.00002
+ ,0.00148
+ ,114.563
+ ,119.167
+ ,86.647
+ ,0.00003
+ ,0.00184
+ ,201.774
+ ,262.707
+ ,78.228
+ ,0.00003
+ ,0.00396
+ ,174.188
+ ,230.978
+ ,94.261
+ ,0.00003
+ ,0.00259
+ ,209.516
+ ,253.017
+ ,89.488
+ ,0.00003
+ ,0.00292
+ ,174.688
+ ,240.005
+ ,74.287
+ ,0.00008
+ ,0.00564
+ ,198.764
+ ,396.961
+ ,74.904
+ ,0.00004
+ ,0.0039
+ ,214.289
+ ,260.277
+ ,77.973
+ ,0.00003
+ ,0.00317)
+ ,dim=c(5
+ ,195)
+ ,dimnames=list(c('MDVP:Fo(Hz)'
+ ,'MDVP:Fhi(Hz)'
+ ,'MDVP:Flo(Hz)'
+ ,'MDVP:Jitter(Abs)'
+ ,'MDVP:PPQ')
+ ,1:195))
>  y <- array(NA,dim=c(5,195),dimnames=list(c('MDVP:Fo(Hz)','MDVP:Fhi(Hz)','MDVP:Flo(Hz)','MDVP:Jitter(Abs)','MDVP:PPQ'),1:195))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'pearson'
> main = 'Scatter Plots and p-values'
> par1 <- 'pearson'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Patrick Wessa, (2013), Multivariate Correlation Matrix (v1.0.7) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp/
> #Source of accompanying publication: 
> #
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$p.value,2)
+ txt <- format(c(r, 0.123456789), digits=digits)[1]
+ txt <- paste(prefix, txt, sep='')
+ if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
+ text(0.5, 0.5, txt, cex = cex)
+ }
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/fisher/rcomp/tmp/1wvsr1386099596.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 5
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/27z311386099596.tab") 
> ncorrs <- (n*n -n)/2
> mycorrs <- array(0, dim=c(10,3))
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'Pearson r',1,TRUE)
> a<-table.element(a,'Spearman rho',1,TRUE)
> a<-table.element(a,'Kendall tau',1,TRUE)
> a<-table.row.end(a)
> cor.test(y[1,],y[2,],method=par1)

	Pearson's product-moment correlation

data:  y[1, ] and y[2, ]
t = 6.0809, df = 193, p-value = 6.282e-09
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
 0.2760244 0.5126146
sample estimates:
      cor 
0.4009847 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
+ a<-table.element(a,dum,header=TRUE)
+ rp <- cor.test(y[i,],y[j,],method='pearson')
+ a<-table.element(a,round(rp$estimate,4))
+ rs <- cor.test(y[i,],y[j,],method='spearman')
+ a<-table.element(a,round(rs$estimate,4))
+ rk <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,round(rk$estimate,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-value',header=T)
+ a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
+ a<-table.row.end(a)
+ for (iii in 1:10) {
+ iiid100 <- iii / 100
+ if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
+ if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
+ if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
+ }
+ }
+ }
Warning messages:
1: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
2: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
3: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
4: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
5: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
6: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
7: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-value with ties
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/3geoe1386099596.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Type I error',1,TRUE)
> a<-table.element(a,'Pearson r',1,TRUE)
> a<-table.element(a,'Spearman rho',1,TRUE)
> a<-table.element(a,'Kendall tau',1,TRUE)
> a<-table.row.end(a)
> for (iii in 1:10) {
+ iiid100 <- iii / 100
+ a<-table.row.start(a)
+ a<-table.element(a,round(iiid100,2),header=T)
+ a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
+ a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
+ a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/4no0k1386099596.tab") 
> 
> try(system("convert tmp/1wvsr1386099596.ps tmp/1wvsr1386099596.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.384   1.708   7.888