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(70.8
+ ,70.94
+ ,69.6
+ ,70.6
+ ,69.87
+ ,68.6
+ ,67.47
+ ,68.27
+ ,67.6
+ ,67.6
+ ,67.13
+ ,65.6
+ ,66.27
+ ,68.94
+ ,66.73
+ ,67.27
+ ,68.07
+ ,64.94
+ ,67.8
+ ,67.94
+ ,64.8
+ ,64.94
+ ,64.6
+ ,65.94
+ ,64.2
+ ,66.6
+ ,64.2
+ ,64.6
+ ,63.67
+ ,63.94
+ ,61
+ ,64.6
+ ,59.67
+ ,63.6
+ ,59.67
+ ,62.94
+ ,59.8
+ ,62.94
+ ,60.73
+ ,63.6
+ ,59.4
+ ,61.6
+ ,58.07
+ ,63.6
+ ,57.47
+ ,60.27
+ ,70.73
+ ,57.94
+ ,72.87
+ ,62.94
+ ,66
+ ,53.6
+ ,66.07
+ ,75.6
+ ,66
+ ,74.6
+ ,66.27
+ ,73.27
+ ,64
+ ,70.27
+ ,63.67
+ ,70.27
+ ,63.73
+ ,67.6
+ ,63.33
+ ,69.6
+ ,63.53
+ ,68.6
+ ,63.53
+ ,68.27
+ ,62.87
+ ,65.94
+ ,59.53
+ ,67.94
+ ,62.8
+ ,68.94
+ ,60.8
+ ,65.94
+ ,59.8
+ ,66.27
+ ,56.67
+ ,65.6
+ ,57.67
+ ,67.94
+ ,58.4
+ ,65.6
+ ,55.47
+ ,66.6
+ ,56.2
+ ,63.94
+ ,71.53
+ ,63.6
+ ,68.67
+ ,65.94
+ ,65.67
+ ,62.94
+ ,66.73
+ ,62.27
+ ,67.33
+ ,60.94
+ ,66.73
+ ,63.94
+ ,66.87
+ ,62.27
+ ,65.8
+ ,61.27
+ ,64.73
+ ,61.94
+ ,65.47
+ ,62.94
+ ,63.6
+ ,59.6
+ ,64.07
+ ,60.27
+ ,64.67
+ ,59.94
+ ,63.73
+ ,57.6
+ ,62.53
+ ,57.94
+ ,61.93
+ ,55.27
+ ,62.67
+ ,51.27
+ ,62.8
+ ,8.6
+ ,61.33
+ ,74.27
+ ,62.6
+ ,72.94
+ ,59.13
+ ,71.94
+ ,61.27
+ ,70.27
+ ,59.47
+ ,69.94
+ ,57.87
+ ,69.94
+ ,59.73
+ ,67.94
+ ,61.4
+ ,67.94
+ ,58.8
+ ,68.27
+ ,58.33
+ ,66.27
+ ,57.47
+ ,66.27
+ ,57.13
+ ,65.94
+ ,55
+ ,65.94
+ ,51.53
+ ,67.6
+ ,72.73
+ ,65.27
+ ,73
+ ,66.6
+ ,70.8
+ ,64.6
+ ,70.07
+ ,64.6
+ ,71.67
+ ,64.94
+ ,71.07
+ ,61.94
+ ,70.67
+ ,62.6
+ ,70.73
+ ,62.27
+ ,70.73
+ ,61.6
+ ,68.6
+ ,60.94
+ ,69.6
+ ,62.27
+ ,66.47
+ ,59.6
+ ,67.07
+ ,59.94
+ ,68.67
+ ,58.94
+ ,66.93
+ ,60.6
+ ,65.93
+ ,59.27
+ ,68.87
+ ,59.27
+ ,66.53
+ ,58.94
+ ,65.8
+ ,58.6
+ ,66.6
+ ,53.27
+ ,66
+ ,52.6
+ ,65
+ ,53.94
+ ,66.8
+ ,47.94
+ ,65.6
+ ,10.6
+ ,66
+ ,7.27
+ ,65.67
+ ,70.94
+ ,64.67
+ ,71.6
+ ,65.07
+ ,69.6
+ ,64.67
+ ,70.27
+ ,65.07
+ ,69.94
+ ,65.2
+ ,70.94
+ ,64.87
+ ,69.94
+ ,63.47
+ ,69.27
+ ,62.6
+ ,68.94
+ ,64.07
+ ,70.94
+ ,63.73
+ ,67.94
+ ,64.67
+ ,67.6
+ ,61.6
+ ,67.94
+ ,61.6
+ ,67.6
+ ,60.47
+ ,67.94
+ ,61.27
+ ,67.27
+ ,63
+ ,65.94
+ ,61.47
+ ,65.6
+ ,60.87
+ ,64.94
+ ,61.67
+ ,64.27
+ ,62.87
+ ,65.94
+ ,62.4
+ ,65.6
+ ,59.73
+ ,62.94
+ ,60.13
+ ,64.6
+ ,58.8
+ ,63.94
+ ,59.6
+ ,63.6
+ ,58.93
+ ,63.94
+ ,60.13
+ ,65.27
+ ,58.2
+ ,65.27
+ ,58.27
+ ,64.27
+ ,58.27
+ ,64.27
+ ,55.07
+ ,62.94
+ ,53.87
+ ,62.6
+ ,52.33
+ ,62.27
+ ,47.2
+ ,60.6
+ ,37.93
+ ,58.94
+ ,72.73
+ ,59.6
+ ,70.07
+ ,58.27
+ ,70.67
+ ,56.94
+ ,72.07
+ ,48.27
+ ,68.8
+ ,69.94
+ ,68.8
+ ,69.27
+ ,67.47
+ ,70.6
+ ,66.73
+ ,68.27
+ ,66.53
+ ,66.6
+ ,66
+ ,65.6
+ ,67.6
+ ,67.27
+ ,66
+ ,67.94
+ ,66
+ ,66.27
+ ,66.53
+ ,65.6
+ ,65.8
+ ,68.94
+ ,64.27
+ ,66.94
+ ,64.67
+ ,68.27
+ ,64.6
+ ,65.27
+ ,64.13
+ ,64.94
+ ,65.47
+ ,63.94
+ ,62.93
+ ,64.6
+ ,63.53
+ ,60.94
+ ,62.13
+ ,60.94
+ ,63.87
+ ,58.6
+ ,64.67
+ ,55.27
+ ,63.33
+ ,55.27
+ ,63.13
+ ,51.27
+ ,62.8
+ ,72.27
+ ,62.4
+ ,69.27
+ ,62.4
+ ,68.27
+ ,62.6
+ ,68.27
+ ,61.47
+ ,68.27
+ ,62.2
+ ,66.27
+ ,63
+ ,65.27
+ ,61.8
+ ,64.27
+ ,59.73
+ ,64.27
+ ,60.33
+ ,66.27
+ ,60.13
+ ,64.27
+ ,59.53
+ ,63.27
+ ,59
+ ,65.27
+ ,55.93
+ ,64.27
+ ,41.87
+ ,64.27
+ ,36.33
+ ,62.27
+ ,71.67
+ ,62.27
+ ,71.47
+ ,64.27
+ ,70.47
+ ,62.27
+ ,69.53
+ ,63.27
+ ,70.73
+ ,60.27
+ ,69.93
+ ,58.27
+ ,68.73
+ ,55.27
+ ,67.53
+ ,51.27)
+ ,dim=c(2
+ ,189)
+ ,dimnames=list(c('pment'
+ ,'newnopment')
+ ,1:189))
>  y <- array(NA,dim=c(2,189),dimnames=list(c('pment','newnopment'),1:189))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = '2'
> par2 = '1'
> par1 = 'two.sided'
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> x <- t(y)
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a <- table.row.start(a)
> a <- table.element(a,'Wilcoxon Test',3,TRUE)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a <- table.element(a,'',1,TRUE)
> a <- table.element(a,'Statistic',1,TRUE)
> a <- table.element(a,'P-value',1,TRUE)
> a <- table.row.end(a)
> W <- wilcox.test(x[,par2],x[,par3],alternative=par1)
> a<-table.row.start(a)
> a<-table.element(a,'Test',1,TRUE)
> a<-table.element(a,W$statistic[[1]])
> a<-table.element(a,signif(W$p.value, digits=5) )
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/1vhxa1320324858.tab") 
> a<-table.start()
> a <- table.row.start(a)
> a <- table.element(a,'Menu of R Modules',2,TRUE)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a <- table.element(a,'Workshop',1,TRUE)
> a <- table.element(a,'Link',1,TRUE)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a<-table.element(a,'go to',1,header=TRUE)
> a <- table.element(a,hyperlink('http://www.wessa.net/rwasp_varia1m.wasp','Histogram & QQplots','Click here to load the R module.'),1)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a<-table.element(a,'go to',1,header=TRUE)
> a <- table.element(a,hyperlink('http://www.wessa.net/rwasp_CARE Data Boxplot.wasp','Go to Scatterplot Matrix and Boxplots','Click here to load the R module.'),1)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a<-table.element(a,'go to',1,header=TRUE)
> a <- table.element(a,hyperlink('http://www.wessa.net/rwasp_Reddy-Moores K-S Test.wasp','Go to Kolmogorov-Smirnov Test','Click here to load the R module.'),1)
> a <- table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2pqcz1320324858.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.244   0.035   0.266