R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> y <- c(180,175,165,165,180,175,170,174,185,200,178,173,170,180,175,173,175,171,175,188,178,180,175,183,170,185,172,180,169,170,165,170,175,185,175,175,180,183,170,183,175,170,183,180,185,182,175,183,171,179,181,183,165,178,175,165,185,175,185,188,175,183,165,174,161,188,165,170,168,178,165,175,173,175,173,180,188,173,175,180,178,178)
> x <- c(182,177,170,167,186,178,171,175,187,197,180,175,173,183,178,173,176,174,178,187,178,183,179,182,169,185,176,183,172,173,165,177,180,189,178,173,182,183,168,182,178,173,184,180,189,185,178,183,179,179,184,184,169,178,178,167,185,177,188,191,175,184,169,172,163,191,169,170,168,178,170,178,174,176,173,183,185,173,175,180,181,177)
> par2 = 'two.sided'
> par1 = 'spearman'
> ylab = 'RepHt'
> xlab = 'Height'
> postscript(file="/var/wessaorg/rcomp/tmp/1lqpt1378101362.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 = 0.9906, p-value = 0.8212

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

	Shapiro-Wilk normality test

data:  y
W = 0.9701, p-value = 0.05216

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

	Spearman's rank correlation rho

data:  x and y
S = 4428.078, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0
sample estimates:
      rho 
0.9518064 

Warning message:
In cor.test.default(x, y, method = par1) :
  Cannot compute exact p-value with ties
> 
> #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/2hit31378101362.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/3d4xd1378101362.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/40hcr1378101362.tab") 
> 
> try(system("convert tmp/1lqpt1378101362.ps tmp/1lqpt1378101362.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.002   0.240   1.240