R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'license()' or 'licence()' for distribution details.

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(10.81
+ ,24563400
+ ,-0.2643
+ ,24.45
+ ,2772.73
+ ,0.0373
+ ,115.7
+ ,5.98
+ ,9.12
+ ,14163200
+ ,-0.2643
+ ,23.62
+ ,2151.83
+ ,0.0353
+ ,109.2
+ ,5.49
+ ,11.03
+ ,18184800
+ ,-0.2643
+ ,21.90
+ ,1840.26
+ ,0.0292
+ ,116.9
+ ,5.31
+ ,12.74
+ ,20810300
+ ,-0.1918
+ ,27.12
+ ,2116.24
+ ,0.0327
+ ,109.9
+ ,4.8
+ ,9.98
+ ,12843000
+ ,-0.1918
+ ,27.70
+ ,2110.49
+ ,0.0362
+ ,116.1
+ ,4.21
+ ,11.62
+ ,13866700
+ ,-0.1918
+ ,29.23
+ ,2160.54
+ ,0.0325
+ ,118.9
+ ,3.97
+ ,9.40
+ ,15119200
+ ,-0.2246
+ ,26.50
+ ,2027.13
+ ,0.0272
+ ,116.3
+ ,3.77
+ ,9.27
+ ,8301600
+ ,-0.2246
+ ,22.84
+ ,1805.43
+ ,0.0272
+ ,114.0
+ ,3.65
+ ,7.76
+ ,14039600
+ ,-0.2246
+ ,20.49
+ ,1498.80
+ ,0.0265
+ ,97.0
+ ,3.07
+ ,8.78
+ ,12139700
+ ,0.3654
+ ,23.28
+ ,1690.20
+ ,0.0213
+ ,85.3
+ ,2.49
+ ,10.65
+ ,9649000
+ ,0.3654
+ ,25.71
+ ,1930.58
+ ,0.019
+ ,84.9
+ ,2.09
+ ,10.95
+ ,8513600
+ ,0.3654
+ ,26.52
+ ,1950.40
+ ,0.0155
+ ,94.6
+ ,1.82
+ ,12.36
+ ,15278600
+ ,0.0447
+ ,25.51
+ ,1934.03
+ ,0.0114
+ ,97.8
+ ,1.73
+ ,10.85
+ ,15590900
+ ,0.0447
+ ,23.36
+ ,1731.49
+ ,0.0114
+ ,95.0
+ ,1.74
+ ,11.84
+ ,9691100
+ ,0.0447
+ ,24.15
+ ,1845.35
+ ,0.0148
+ ,110.7
+ ,1.73
+ ,12.14
+ ,10882700
+ ,-0.0312
+ ,20.92
+ ,1688.23
+ ,0.0164
+ ,108.5
+ ,1.75
+ ,11.65
+ ,10294800
+ ,-0.0312
+ ,20.38
+ ,1615.73
+ ,0.0118
+ ,110.3
+ ,1.75
+ ,8.86
+ ,16031900
+ ,-0.0312
+ ,21.90
+ ,1463.21
+ ,0.0107
+ ,106.3
+ ,1.75
+ ,7.63
+ ,13683600
+ ,-0.0048
+ ,19.21
+ ,1328.26
+ ,0.0146
+ ,97.4
+ ,1.73
+ ,7.38
+ ,8677200
+ ,-0.0048
+ ,19.65
+ ,1314.85
+ ,0.018
+ ,94.5
+ ,1.74
+ ,7.25
+ ,9874100
+ ,-0.0048
+ ,17.51
+ ,1172.06
+ ,0.0151
+ ,93.7
+ ,1.75
+ ,8.03
+ ,10725500
+ ,0.0705
+ ,21.41
+ ,1329.75
+ ,0.0203
+ ,79.6
+ ,1.75
+ ,7.75
+ ,8348400
+ ,0.0705
+ ,23.09
+ ,1478.78
+ ,0.022
+ ,84.9
+ ,1.34
+ ,7.16
+ ,8046200
+ ,0.0705
+ ,20.70
+ ,1335.51
+ ,0.0238
+ ,80.7
+ ,1.24
+ ,7.18
+ ,10862300
+ ,-0.0134
+ ,19.00
+ ,1320.91
+ ,0.026
+ ,78.8
+ ,1.24
+ ,7.51
+ ,8100300
+ ,-0.0134
+ ,19.04
+ ,1337.52
+ ,0.0298
+ ,64.8
+ ,1.26
+ ,7.07
+ ,7287500
+ ,-0.0134
+ ,19.45
+ ,1341.17
+ ,0.0302
+ ,61.4
+ ,1.25
+ ,7.11
+ ,14002500
+ ,0.0812
+ ,20.54
+ ,1464.31
+ ,0.0222
+ ,81.0
+ ,1.26
+ ,8.98
+ ,19037900
+ ,0.0812
+ ,19.77
+ ,1595.91
+ ,0.0206
+ ,83.6
+ ,1.26
+ ,9.53
+ ,10774600
+ ,0.0812
+ ,20.60
+ ,1622.80
+ ,0.0211
+ ,83.5
+ ,1.22
+ ,10.54
+ ,8960600
+ ,0.1885
+ ,21.21
+ ,1735.02
+ ,0.0211
+ ,77.0
+ ,1.01
+ ,11.31
+ ,7773300
+ ,0.1885
+ ,21.30
+ ,1810.45
+ ,0.0216
+ ,81.7
+ ,1.03
+ ,10.36
+ ,9579700
+ ,0.1885
+ ,22.33
+ ,1786.94
+ ,0.0232
+ ,77.0
+ ,1.01
+ ,11.44
+ ,11270700
+ ,0.3628
+ ,21.12
+ ,1932.21
+ ,0.0204
+ ,81.7
+ ,1.01
+ ,10.45
+ ,9492800
+ ,0.3628
+ ,20.77
+ ,1960.26
+ ,0.0177
+ ,92.5
+ ,1
+ ,10.69
+ ,9136800
+ ,0.3628
+ ,22.11
+ ,2003.37
+ ,0.0188
+ ,91.7
+ ,0.98
+ ,11.28
+ ,14487600
+ ,0.2942
+ ,22.34
+ ,2066.15
+ ,0.0193
+ ,96.4
+ ,1
+ ,11.96
+ ,10133200
+ ,0.2942
+ ,21.43
+ ,2029.82
+ ,0.0169
+ ,88.5
+ ,1.01
+ ,13.52
+ ,18659700
+ ,0.2942
+ ,20.14
+ ,1994.22
+ ,0.0174
+ ,88.5
+ ,1
+ ,12.89
+ ,15980700
+ ,0.3036
+ ,21.11
+ ,1920.15
+ ,0.0229
+ ,93.0
+ ,1
+ ,14.03
+ ,9732100
+ ,0.3036
+ ,21.19
+ ,1986.74
+ ,0.0305
+ ,93.1
+ ,1
+ ,16.27
+ ,14626300
+ ,0.3036
+ ,23.07
+ ,2047.79
+ ,0.0327
+ ,102.8
+ ,1.03
+ ,16.17
+ ,16904000
+ ,0.3703
+ ,23.01
+ ,1887.36
+ ,0.0299
+ ,105.7
+ ,1.26
+ ,17.25
+ ,13616700
+ ,0.3703
+ ,22.12
+ ,1838.10
+ ,0.0265
+ ,98.7
+ ,1.43
+ ,19.38
+ ,13772900
+ ,0.3703
+ ,22.40
+ ,1896.84
+ ,0.0254
+ ,96.7
+ ,1.61
+ ,26.20
+ ,28749200
+ ,0.7398
+ ,22.66
+ ,1974.99
+ ,0.0319
+ ,92.9
+ ,1.76
+ ,33.53
+ ,31408300
+ ,0.7398
+ ,24.21
+ ,2096.81
+ ,0.0352
+ ,92.6
+ ,1.93
+ ,32.20
+ ,26342800
+ ,0.7398
+ ,24.13
+ ,2175.44
+ ,0.0326
+ ,102.7
+ ,2.16
+ ,38.45
+ ,48909500
+ ,0.6988
+ ,23.73
+ ,2062.41
+ ,0.0297
+ ,105.1
+ ,2.28
+ ,44.86
+ ,41542400
+ ,0.6988
+ ,22.79
+ ,2051.72
+ ,0.0301
+ ,104.4
+ ,2.5
+ ,41.67
+ ,24857200
+ ,0.6988
+ ,21.89
+ ,1999.23
+ ,0.0315
+ ,103.0
+ ,2.63
+ ,36.06
+ ,34093700
+ ,0.7478
+ ,22.92
+ ,1921.65
+ ,0.0351
+ ,97.5
+ ,2.79
+ ,39.76
+ ,22555200
+ ,0.7478
+ ,23.44
+ ,2068.22
+ ,0.028
+ ,103.1
+ ,3
+ ,36.81
+ ,19067500
+ ,0.7478
+ ,22.57
+ ,2056.96
+ ,0.0253
+ ,106.2
+ ,3.04
+ ,42.65
+ ,19029100
+ ,0.5651
+ ,23.27
+ ,2184.83
+ ,0.0317
+ ,103.6
+ ,3.26
+ ,46.89
+ ,15223200
+ ,0.5651
+ ,24.95
+ ,2152.09
+ ,0.0364
+ ,105.5
+ ,3.5
+ ,53.61
+ ,21903700
+ ,0.5651
+ ,23.45
+ ,2151.69
+ ,0.0469
+ ,87.5
+ ,3.62
+ ,57.59
+ ,33306600
+ ,0.6473
+ ,23.42
+ ,2120.30
+ ,0.0435
+ ,85.2
+ ,3.78
+ ,67.82
+ ,23898100
+ ,0.6473
+ ,25.30
+ ,2232.82
+ ,0.0346
+ ,98.3
+ ,4
+ ,71.89
+ ,23279600
+ ,0.6473
+ ,23.90
+ ,2205.32
+ ,0.0342
+ ,103.8
+ ,4.16
+ ,75.51
+ ,40699800
+ ,0.3441
+ ,25.73
+ ,2305.82
+ ,0.0399
+ ,106.8
+ ,4.29
+ ,68.49
+ ,37646000
+ ,0.3441
+ ,24.64
+ ,2281.39
+ ,0.036
+ ,102.7
+ ,4.49
+ ,62.72
+ ,37277000
+ ,0.3441
+ ,24.95
+ ,2339.79
+ ,0.0336
+ ,107.5
+ ,4.59
+ ,70.39
+ ,39246800
+ ,0.2415
+ ,22.15
+ ,2322.57
+ ,0.0355
+ ,109.8
+ ,4.79
+ ,59.77
+ ,27418400
+ ,0.2415
+ ,20.85
+ ,2178.88
+ ,0.0417
+ ,104.7
+ ,4.94
+ ,57.27
+ ,30318700
+ ,0.2415
+ ,21.45
+ ,2172.09
+ ,0.0432
+ ,105.7
+ ,4.99
+ ,67.96
+ ,32808100
+ ,0.3151
+ ,22.15
+ ,2091.47
+ ,0.0415
+ ,107.0
+ ,5.24
+ ,67.85
+ ,28668200
+ ,0.3151
+ ,23.75
+ ,2183.75
+ ,0.0382
+ ,100.2
+ ,5.25
+ ,76.98
+ ,32370300
+ ,0.3151
+ ,25.27
+ ,2258.43
+ ,0.0206
+ ,105.9
+ ,5.25
+ ,81.08
+ ,24171100
+ ,0.239
+ ,26.53
+ ,2366.71
+ ,0.0131
+ ,105.1
+ ,5.25
+ ,91.66
+ ,25009100
+ ,0.239
+ ,27.22
+ ,2431.77
+ ,0.0197
+ ,105.3
+ ,5.25
+ ,84.84
+ ,32084300
+ ,0.239
+ ,27.69
+ ,2415.29
+ ,0.0254
+ ,110.0
+ ,5.24
+ ,85.73
+ ,50117500
+ ,0.2127
+ ,28.61
+ ,2463.93
+ ,0.0208
+ ,110.2
+ ,5.25
+ ,84.61
+ ,27522200
+ ,0.2127
+ ,26.21
+ ,2416.15
+ ,0.0242
+ ,111.2
+ ,5.26
+ ,92.91
+ ,26816800
+ ,0.2127
+ ,25.93
+ ,2421.64
+ ,0.0278
+ ,108.2
+ ,5.26
+ ,99.80
+ ,25136100
+ ,0.273
+ ,27.86
+ ,2525.09
+ ,0.0257
+ ,106.3
+ ,5.25
+ ,121.19
+ ,30295600
+ ,0.273
+ ,28.65
+ ,2604.52
+ ,0.0269
+ ,108.5
+ ,5.25
+ ,122.04
+ ,41526100
+ ,0.273
+ ,27.51
+ ,2603.23
+ ,0.0269
+ ,105.3
+ ,5.25
+ ,131.76
+ ,43845100
+ ,0.3657
+ ,27.06
+ ,2546.27
+ ,0.0236
+ ,111.9
+ ,5.26
+ ,138.48
+ ,39188900
+ ,0.3657
+ ,26.91
+ ,2596.36
+ ,0.0197
+ ,105.6
+ ,5.02
+ ,153.47
+ ,40496400
+ ,0.3657
+ ,27.60
+ ,2701.50
+ ,0.0276
+ ,99.5
+ ,4.94
+ ,189.95
+ ,37438400
+ ,0.4643
+ ,34.48
+ ,2859.12
+ ,0.0354
+ ,95.2
+ ,4.76
+ ,182.22
+ ,46553700
+ ,0.4643
+ ,31.58
+ ,2660.96
+ ,0.0431
+ ,87.8
+ ,4.49
+ ,198.08
+ ,31771400
+ ,0.4643
+ ,33.46
+ ,2652.28
+ ,0.0408
+ ,90.6
+ ,4.24
+ ,135.36
+ ,62108100
+ ,0.5096
+ ,30.64
+ ,2389.86
+ ,0.0428
+ ,87.9
+ ,3.94
+ ,125.02
+ ,46645400
+ ,0.5096
+ ,25.66
+ ,2271.48
+ ,0.0403
+ ,76.4
+ ,2.98
+ ,143.50
+ ,42313100
+ ,0.5096
+ ,26.78
+ ,2279.10
+ ,0.0398
+ ,65.9
+ ,2.61
+ ,173.95
+ ,38841700
+ ,0.3592
+ ,26.91
+ ,2412.80
+ ,0.0394
+ ,62.3
+ ,2.28
+ ,188.75
+ ,32650300
+ ,0.3592
+ ,26.82
+ ,2522.66
+ ,0.0418
+ ,57.2
+ ,1.98
+ ,167.44
+ ,34281100
+ ,0.3592
+ ,26.05
+ ,2292.98
+ ,0.0502
+ ,50.4
+ ,2
+ ,158.95
+ ,33096200
+ ,0.7439
+ ,24.36
+ ,2325.55
+ ,0.056
+ ,51.9
+ ,2.01
+ ,169.53
+ ,23273800
+ ,0.7439
+ ,25.94
+ ,2367.52
+ ,0.0537
+ ,58.5
+ ,2
+ ,113.66
+ ,43697600
+ ,0.7439
+ ,25.37
+ ,2091.88
+ ,0.0494
+ ,61.4
+ ,1.81
+ ,107.59
+ ,66902300
+ ,0.139
+ ,21.23
+ ,1720.95
+ ,0.0366
+ ,38.8
+ ,0.97
+ ,92.67
+ ,44957200
+ ,0.139
+ ,19.35
+ ,1535.57
+ ,0.0107
+ ,44.9
+ ,0.39
+ ,85.35
+ ,33800900
+ ,0.139
+ ,18.61
+ ,1577.03
+ ,0.0009
+ ,38.6
+ ,0.16
+ ,90.13
+ ,33487900
+ ,0.1383
+ ,16.37
+ ,1476.42
+ ,0.0003
+ ,4.0
+ ,0.15
+ ,89.31
+ ,27394900
+ ,0.1383
+ ,15.56
+ ,1377.84
+ ,0.0024
+ ,25.3
+ ,0.22
+ ,105.12
+ ,25963400
+ ,0.1383
+ ,17.70
+ ,1528.59
+ ,-0.0038
+ ,26.9
+ ,0.18
+ ,125.83
+ ,20952600
+ ,0.2874
+ ,19.52
+ ,1717.30
+ ,-0.0074
+ ,40.8
+ ,0.15
+ ,135.81
+ ,17702900
+ ,0.2874
+ ,20.26
+ ,1774.33
+ ,-0.0128
+ ,54.8
+ ,0.18
+ ,142.43
+ ,21282100
+ ,0.2874
+ ,23.05
+ ,1835.04
+ ,-0.0143
+ ,49.3
+ ,0.21
+ ,163.39
+ ,18449100
+ ,0.0596
+ ,22.81
+ ,1978.50
+ ,-0.021
+ ,47.4
+ ,0.16
+ ,168.21
+ ,14415700
+ ,0.0596
+ ,24.04
+ ,2009.06
+ ,-0.0148
+ ,54.5
+ ,0.16
+ ,185.35
+ ,17906300
+ ,0.0596
+ ,25.08
+ ,2122.42
+ ,-0.0129
+ ,53.4
+ ,0.15
+ ,188.50
+ ,22197500
+ ,0.3201
+ ,27.04
+ ,2045.11
+ ,-0.0018
+ ,48.7
+ ,0.12
+ ,199.91
+ ,15856500
+ ,0.3201
+ ,28.81
+ ,2144.60
+ ,0.0184
+ ,50.6
+ ,0.12
+ ,210.73
+ ,19068700
+ ,0.3201
+ ,29.86
+ ,2269.15
+ ,0.0272
+ ,53.6
+ ,0.12
+ ,192.06
+ ,30855100
+ ,0.486
+ ,27.61
+ ,2147.35
+ ,0.0263
+ ,56.5
+ ,0.11
+ ,204.62
+ ,21209000
+ ,0.486
+ ,28.22
+ ,2238.26
+ ,0.0214
+ ,46.4
+ ,0.13
+ ,235.00
+ ,19541600
+ ,0.486
+ ,28.83
+ ,2397.96
+ ,0.0231
+ ,52.3
+ ,0.16
+ ,261.09
+ ,21955000
+ ,0.6129
+ ,30.06
+ ,2461.19
+ ,0.0224
+ ,57.7
+ ,0.2
+ ,256.88
+ ,33725900
+ ,0.6129
+ ,25.51
+ ,2257.04
+ ,0.0202
+ ,62.7
+ ,0.2
+ ,251.53
+ ,28192800
+ ,0.6129
+ ,22.75
+ ,2109.24
+ ,0.0105
+ ,54.3
+ ,0.18
+ ,257.25
+ ,27377000
+ ,0.6665
+ ,25.52
+ ,2254.70
+ ,0.0124
+ ,51.0
+ ,0.18
+ ,243.10
+ ,16228100
+ ,0.6665
+ ,23.33
+ ,2114.03
+ ,0.0115
+ ,53.2
+ ,0.19
+ ,283.75
+ ,21278900
+ ,0.6665
+ ,24.34
+ ,2368.62
+ ,0.0114
+ ,48.6
+ ,0.19)
+ ,dim=c(8
+ ,117)
+ ,dimnames=list(c('APPLE'
+ ,'VOLUME'
+ ,'REV.GROWTH'
+ ,'MICROSOFT'
+ ,'NASDAQ'
+ ,'INFLATION'
+ ,'CONS.CONF'
+ ,'FED.FUNDS.RATE')
+ ,1:117))
>  y <- array(NA,dim=c(8,117),dimnames=list(c('APPLE','VOLUME','REV.GROWTH','MICROSOFT','NASDAQ','INFLATION','CONS.CONF','FED.FUNDS.RATE'),1:117))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = ''
> par1 = 'pearson'
> main = 'Correlation Matrix'
> 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$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/fisher/rcomp/tmp/16ras1355268445.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 8
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2i6az1355268446.tab") 
> 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 = 5.2726, df = 115, p-value = 6.381e-07
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2823064 0.5765780 
sample estimates:
      cor 
0.4412274 

> 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)
+ }
+ }
There were 25 warnings (use warnings() to see them)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/31pq41355268446.tab") 
> 
> try(system("convert tmp/16ras1355268445.ps tmp/16ras1355268445.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.838   0.259   2.107