R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

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(210907
+ ,56
+ ,79
+ ,94
+ ,0
+ ,2
+ ,179321
+ ,89
+ ,108
+ ,103
+ ,0
+ ,4
+ ,149061
+ ,44
+ ,43
+ ,93
+ ,0
+ ,0
+ ,237213
+ ,84
+ ,78
+ ,123
+ ,0
+ ,0
+ ,173326
+ ,88
+ ,86
+ ,148
+ ,0
+ ,-4
+ ,133131
+ ,55
+ ,44
+ ,90
+ ,0
+ ,4
+ ,258873
+ ,60
+ ,104
+ ,124
+ ,0
+ ,4
+ ,324799
+ ,154
+ ,158
+ ,168
+ ,0
+ ,0
+ ,230964
+ ,53
+ ,102
+ ,115
+ ,0
+ ,-1
+ ,236785
+ ,119
+ ,77
+ ,71
+ ,0
+ ,0
+ ,344297
+ ,75
+ ,80
+ ,108
+ ,0
+ ,1
+ ,174724
+ ,92
+ ,123
+ ,120
+ ,0
+ ,0
+ ,174415
+ ,100
+ ,73
+ ,114
+ ,0
+ ,3
+ ,223632
+ ,73
+ ,105
+ ,120
+ ,0
+ ,-1
+ ,294424
+ ,77
+ ,107
+ ,124
+ ,0
+ ,4
+ ,325107
+ ,99
+ ,84
+ ,126
+ ,0
+ ,3
+ ,106408
+ ,30
+ ,33
+ ,37
+ ,0
+ ,1
+ ,96560
+ ,76
+ ,42
+ ,38
+ ,1
+ ,0
+ ,265769
+ ,146
+ ,96
+ ,120
+ ,0
+ ,-2
+ ,269651
+ ,67
+ ,106
+ ,93
+ ,0
+ ,-3
+ ,149112
+ ,56
+ ,56
+ ,95
+ ,0
+ ,-4
+ ,152871
+ ,58
+ ,59
+ ,90
+ ,0
+ ,2
+ ,362301
+ ,119
+ ,76
+ ,110
+ ,0
+ ,2
+ ,183167
+ ,66
+ ,91
+ ,138
+ ,0
+ ,-4
+ ,277965
+ ,89
+ ,115
+ ,133
+ ,0
+ ,3
+ ,218946
+ ,41
+ ,76
+ ,96
+ ,0
+ ,2
+ ,244052
+ ,68
+ ,101
+ ,164
+ ,0
+ ,2
+ ,341570
+ ,168
+ ,94
+ ,78
+ ,1
+ ,0
+ ,233328
+ ,132
+ ,92
+ ,102
+ ,0
+ ,5
+ ,206161
+ ,71
+ ,75
+ ,99
+ ,0
+ ,-2
+ ,311473
+ ,112
+ ,128
+ ,129
+ ,0
+ ,0
+ ,207176
+ ,70
+ ,56
+ ,114
+ ,0
+ ,-2
+ ,196553
+ ,57
+ ,41
+ ,99
+ ,0
+ ,-3
+ ,143246
+ ,103
+ ,67
+ ,104
+ ,0
+ ,2
+ ,182192
+ ,52
+ ,77
+ ,138
+ ,0
+ ,2
+ ,194979
+ ,62
+ ,66
+ ,151
+ ,0
+ ,2
+ ,167488
+ ,45
+ ,69
+ ,72
+ ,0
+ ,0
+ ,143756
+ ,46
+ ,105
+ ,120
+ ,0
+ ,4
+ ,275541
+ ,63
+ ,116
+ ,115
+ ,0
+ ,4
+ ,152299
+ ,53
+ ,62
+ ,98
+ ,0
+ ,2
+ ,193339
+ ,78
+ ,100
+ ,71
+ ,0
+ ,2
+ ,130585
+ ,46
+ ,67
+ ,107
+ ,0
+ ,-4
+ ,112611
+ ,41
+ ,46
+ ,73
+ ,1
+ ,3
+ ,148446
+ ,91
+ ,135
+ ,129
+ ,0
+ ,3
+ ,182079
+ ,63
+ ,124
+ ,118
+ ,0
+ ,2
+ ,243060
+ ,63
+ ,58
+ ,104
+ ,0
+ ,-1
+ ,162765
+ ,32
+ ,68
+ ,107
+ ,0
+ ,-3
+ ,85574
+ ,34
+ ,37
+ ,36
+ ,1
+ ,0
+ ,225060
+ ,93
+ ,93
+ ,139
+ ,0
+ ,1
+ ,133328
+ ,55
+ ,56
+ ,56
+ ,1
+ ,-3
+ ,100750
+ ,72
+ ,83
+ ,93
+ ,0
+ ,3
+ ,101523
+ ,42
+ ,59
+ ,87
+ ,1
+ ,0
+ ,243511
+ ,71
+ ,133
+ ,110
+ ,0
+ ,0
+ ,152474
+ ,65
+ ,106
+ ,83
+ ,0
+ ,0
+ ,132487
+ ,41
+ ,71
+ ,98
+ ,0
+ ,3
+ ,317394
+ ,86
+ ,116
+ ,82
+ ,0
+ ,-3
+ ,244749
+ ,95
+ ,98
+ ,115
+ ,0
+ ,0
+ ,184510
+ ,49
+ ,64
+ ,140
+ ,0
+ ,-4
+ ,128423
+ ,64
+ ,32
+ ,120
+ ,0
+ ,2
+ ,97839
+ ,38
+ ,25
+ ,66
+ ,0
+ ,-1
+ ,172494
+ ,52
+ ,46
+ ,139
+ ,0
+ ,3
+ ,229242
+ ,247
+ ,63
+ ,119
+ ,0
+ ,2
+ ,351619
+ ,139
+ ,95
+ ,141
+ ,0
+ ,5
+ ,324598
+ ,110
+ ,113
+ ,133
+ ,0
+ ,2
+ ,195838
+ ,67
+ ,111
+ ,98
+ ,0
+ ,-2
+ ,254488
+ ,83
+ ,120
+ ,117
+ ,0
+ ,0
+ ,199476
+ ,70
+ ,87
+ ,105
+ ,0
+ ,3
+ ,92499
+ ,32
+ ,25
+ ,55
+ ,1
+ ,-2
+ ,224330
+ ,83
+ ,131
+ ,132
+ ,0
+ ,0
+ ,181633
+ ,70
+ ,47
+ ,73
+ ,0
+ ,6
+ ,271856
+ ,103
+ ,109
+ ,86
+ ,0
+ ,-3
+ ,95227
+ ,34
+ ,37
+ ,48
+ ,0
+ ,3
+ ,98146
+ ,40
+ ,15
+ ,48
+ ,1
+ ,0
+ ,118612
+ ,46
+ ,54
+ ,43
+ ,1
+ ,-2
+ ,65475
+ ,18
+ ,16
+ ,46
+ ,1
+ ,1
+ ,108446
+ ,60
+ ,22
+ ,65
+ ,1
+ ,0
+ ,121848
+ ,39
+ ,37
+ ,52
+ ,1
+ ,2
+ ,76302
+ ,31
+ ,29
+ ,68
+ ,1
+ ,2
+ ,98104
+ ,54
+ ,55
+ ,47
+ ,1
+ ,-3
+ ,30989
+ ,14
+ ,5
+ ,41
+ ,1
+ ,-2
+ ,31774
+ ,23
+ ,0
+ ,47
+ ,1
+ ,1
+ ,150580
+ ,77
+ ,27
+ ,71
+ ,1
+ ,-4
+ ,54157
+ ,19
+ ,37
+ ,30
+ ,1
+ ,0
+ ,59382
+ ,49
+ ,29
+ ,24
+ ,1
+ ,1
+ ,84105
+ ,20
+ ,17
+ ,63
+ ,1
+ ,0)
+ ,dim=c(6
+ ,85)
+ ,dimnames=list(c('time'
+ ,'logins'
+ ,'BC'
+ ,'LFM'
+ ,'Course'
+ ,'Totaal')
+ ,1:85))
>  y <- array(NA,dim=c(6,85),dimnames=list(c('time','logins','BC','LFM','Course','Totaal'),1:85))
>  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 = 'Pearson Correlation Matrix'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$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/wessaorg/rcomp/tmp/167ay1324637066.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 6
> 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/wessaorg/rcomp/tmp/2czv81324637066.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 = 8.2739, df = 83, p-value = 1.851e-12
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.5359727 0.7744578 
sample estimates:
      cor 
0.6723008 

> 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 15 warnings (use warnings() to see them)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3v9zy1324637066.tab") 
> 
> try(system("convert tmp/167ay1324637066.ps tmp/167ay1324637066.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.911   0.090   0.996