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)

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> x <- array(list(58,51,77,77,53,54,68,70,59,59,76,76,166,56,76,77,51,52,69,73,64,64,71,71,52,57,65,64,65,66,70,75,62,62,92,101,61,61,76,75,61,61,119,124,54,59,65,66,50,50,66,70,63,61,101,100,58,60,75,73,39,41,79,76,71,71,64,65,52,52,69,69,68,63,88,86,56,54,65,67,54,53,80,80,63,59,78,80,54,55,85,82,54,56,82,85,75,75,74,73,56,57,102,107,66,65,65,64,78,75,73,74,60,59,75,70,64,63,57,58,64,62,68,69,52,51,71,71,62,61,71,76,55,54,97,98,56,57,80,76,50,50,66,66,50,55,69,70,63,64,69,70,61,60,55,56,53,52,59,61,60,55,62,66,56,56,70,68,53,53,84,86,57,59,69,71,57,56,88,87,56,56,103,101),dim=c(4,46),dimnames=list(c('Fweight','FrepWeight','Mweight','MrepWeight'),1:46))
>  y <- array(NA,dim=c(4,46),dimnames=list(c('Fweight','FrepWeight','Mweight','MrepWeight'),1:46))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par8 = 'TRUE'
> par7 = '0.95'
> par6 = '0.0'
> par5 = 'paired'
> par4 = 'T-Test'
> par3 = '2'
> par2 = '1'
> par1 = 'two.sided'
> ylab = 'Weight and Reported Weight'
> xlab = 'Weight kg'
> main = 'Differences between m/f Weight'
> par8 <- 'TRUE'
> par7 <- '0.95'
> par6 <- '0.0'
> par5 <- 'paired'
> par4 <- 'T-Test'
> par3 <- '2'
> par2 <- '1'
> par1 <- 'two.sided'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, T-Tests (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_Tests%20to%20Compare%20Two%20Means.wasp/
> #Source of accompanying publication: 
> #
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.character(par4)
> par5 <- as.character(par5)
> par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> par8 <- as.logical(par8)
> if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
> x <- t(y)
> if(par8){
+ postscript(file="/var/wessaorg/rcomp/tmp/1fim01338545178.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2))
+ dev.off()
+ }
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> if( par4 == 'Wilcoxon-Mann_Whitney'){
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'Wilcoxon Test',3,TRUE)
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'',1,TRUE)
+ a <- table.element(a,'Statistic',1,TRUE)
+ a <- table.element(a,'P-value',1,TRUE)
+ a <- table.row.end(a)
+ W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired)
+ a<-table.row.start(a)
+ a<-table.element(a,'Wilcoxon Test',1,TRUE)
+ a<-table.element(a,W$statistic[[1]])
+ a<-table.element(a,round(W$p.value, digits=5) )
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/2ga5d1338545179.tab") 
+ }
> if( par4 == 'T-Test')
+ {
+ T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7)
+ a<-table.start()
+ a <- table.row.start(a)
+ a <- table.element(a,'T-Test',3,TRUE)
+ a <- table.row.end(a)
+ if(paired){
+ a <- table.row.start(a)
+ a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE)
+ a<-table.element(a,round(T$estimate, digits=5) )
+ a <- table.row.end(a)
+ }
+ if(!paired){
+ a <- table.row.start(a)
+ a <- table.element(a,'Mean1',1,TRUE)
+ a<-table.element(a,round(T$estimate[1], digits=5) )
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'Mean2',1,TRUE)
+ a<-table.element(a,round(T$estimate[2], digits=5) )
+ a <- table.row.end(a)
+ }
+ a <- table.row.start(a)
+ a <- table.element(a,'T Statistic',1,TRUE)
+ a<-table.element(a,round(T$statistic, digits=5) )
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'P-value',1,TRUE)
+ a<-table.element(a,round(T$p.value, digits=5) )
+ a <- table.row.end(a)
+ a <- table.row.start(a)
+ a <- table.element(a,'Lower Confidence Limit',1,TRUE)
+ a<-table.element(a,round(T$conf.int[1], digits=5) )
+ a <- table.row.end(a)
+ a<-table.row.start(a)
+ a <- table.element(a,'Upper Confidence Limit',1,TRUE)
+ a<-table.element(a,round(T$conf.int[2], digits=5) )
+ a <- table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3rn3g1338545179.tab") 
+ }
> a<-table.start()
> a <- table.row.start(a)
> a <- table.element(a,'Standard Deviations',3,TRUE)
> a <- table.row.end(a)
> a <- table.row.start(a)
> a <- table.element(a,'Variable 1',1,TRUE)
> a<-table.element(a,round(sd(x[,par2], na.rm=TRUE), digits=5) )
> a <- table.row.end(a)
> a <- table.row.start(a)
> a <- table.element(a,'Variable 2',1,TRUE)
> a<-table.element(a,round(sd(x[,par3], na.rm=TRUE), digits=5) )
> a <- table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4hw531338545179.tab") 
> 
> try(system("convert tmp/1fim01338545178.ps tmp/1fim01338545178.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.571   0.106   0.668