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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> y <- c(4.8,4.2,4.6,4.8,4.6,6.2,4.4,4.2,4,4.2,4.4,5.2,3.8,5.2,4.6,4.2,5.4,4.6,4.4,5,4.8,6.2,5.2,4.6,4.6,4.2,4,4.6,4.6,5,4.6,5.6,4,3.8,5.8,4.2,3.4,3.8,4.8,4.2,4,5,5,4.6,5,3.8,5,4.8,5,4.2,4.8,4.6,5,5,4,4,3.2,5.2,4.6,3.6,4.8,4.8,4.8,4,5,4.4,5.2,4,5.6,7,4.2,4,5.2,4.2,4.6,4.8,4.8,4,4.4,4,4.6,4.2,4,3.8,6,5,5.4,4.2,5.4,5.6,5.2,4.4,4.4,4.2,4,4.2)
> x <- c(5,5.4,5.6,5.6,5.4,6,4,4.2,4.6,4.2,4.2,4.666666667,3.6,5,4.6,4,5.8,5.8,4,5.4,4.8,5.8,5.4,4.8,4.6,4.6,4,4,4.8,5,4,5.2,4,4.4,5.6,4.6,2.2,4,4.6,4.2,4,5,5,4.8,5,3.8,4.6,4.2,5,4,5.2,4.8,4.2,5,4.2,4,3.2,6.2,5.6,4.6,5.2,6,4.8,4,4.4,4.4,4.8,4.6,6.4,6,4.2,4,5.2,4.4,4.6,4.8,4.2,4,4.2,4,5,4,5.6,4,5.8,4.4,5.4,4.2,5.2,4.6,5.2,4.4,4.2,4,3.8,5.6)
> par2 = 'two.sided'
> par1 = 'kendall'
> ylab = 'specattenmean'
> xlab = 'compattenmean'
> postscript(file="/var/wessaorg/rcomp/tmp/1l5uw1320069536.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,y, xlab=xlab, ylab=ylab)
> abline(coef=(lm(y ~ x))$coeff, col='red')
> ctp<-cor.test(x, y, use='pair', method='pearson')
> legend('bottomright', c('cor =', as.character(round(ctp$estimate, digits=4))))
> dev.off()
null device 
          1 
> (sw1<-shapiro.test(x))

	Shapiro-Wilk normality test

data:  x 
W = 0.9589, p-value = 0.004304

> (sw2<-shapiro.test(y))

	Shapiro-Wilk normality test

data:  y 
W = 0.956, p-value = 0.002728

> (cxy<-cor.test(x, y, method=par1))

	Kendall's rank correlation tau

data:  x and y 
z = 7.7808, p-value = 7.105e-15
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.5851863 

> 
> #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,paste('Shapiro Test (', xlab,')',sep=''),3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistic W',header=TRUE)
> a<-table.element(a,'Probability',header=TRUE)
> a<-table.element(a,'Link',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,round(sw1$statistic, digits=4))
> a<-table.element(a,round(sw1$p.value, digits=4))
> a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test'))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2h9nb1320069536.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, paste('Shapiro Test (', ylab,')',sep=''),3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistic W',header=TRUE)
> a<-table.element(a,'probability',header=TRUE)
> a<-table.element(a,'Link',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,round(sw2$statistic, digits=4))
> a<-table.element(a,round(sw2$p.value, digits=4))
> a<-table.element(a,hyperlink('http://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test','Shapiro-Wilk Test','Shapiro-Wilk Test'))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3j2731320069536.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Correlation Test X-Y',5,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistic',header=TRUE)
> a<-table.element(a,'Value',header=TRUE)
> a<-table.element(a,'probability',header=TRUE)
> a<-table.element(a,'Method',header=TRUE)
> a<-table.element(a,'alternative',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,names(cxy$estimate))
> a<-table.element(a,round(cxy$estimate, digits=4))
> a<-table.element(a,round(cxy$p.value, digits=4))
> a<-table.element(a,cxy$method)
> a<-table.element(a,cxy$alternative)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4nqif1320069536.tab") 
> 
> try(system("convert tmp/1l5uw1320069536.ps tmp/1l5uw1320069536.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.510   0.070   0.572