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(27,33.56,47.24,71.23,59.14,40.99,17.54,28.45,39.09,24.69,21.47,39.81,35.66,31.21,30.63,26.11,29.63,44.55,43.9,33.47,55.1,48.13,33.25,25.33,26.98,88.74,36.54,11.78,29.11,32.47,55.17,42.33,22.87,41.36,27.69,20.47,60.03,50.14,30.63,36.99,27.55,18.55,14.33,8.78,40.55,22.63,45.77,41.36,39.44,41.66,66.47,69.48,17.66,19.64,44.47,50.17,21.63,36.12,23.69,54.12,45.16,69.41,41.96,13.25,16.17,9.66,20.45,24.21,33.64,25.44,60.74,71.33,55.21,66.23,19.65,21.33,14.47,16.22,23.56,66.87,54.22,43.98,71.33,55.21,66.23,19.65,21.33,16.66,19.87,14.55,19.41,20.63,60.03,50.14,30.63,36.99,27.55,18.55,14.33,66.47,69.48,17.66,19.64,44.47,50.17,21.63,36.12,23.69,33.25,25.33,26.98,88.74,36.54,11.78,18.55,14.33,8.78,40.55,22.63,45.77)
> x <- c(14.69,20.15,11.78,21.47,17.54,21.47,18.55,14.33,8.78,17.66,19.64,13.25,16.17,9.66,20.45,24.21,19.65,21.33,14.47,16.22,16.66,19.87,14.55,19.41,20.63,9.12,8.36,19.36,25.78,14.66,27.55,22.63,30.33,22.22,11.99,9.47,10.33,15.36,14.99,17.31,18.94,16.54,18.21,11.74,17.41,9.99,21.14,19.7,14.87,19.65,27.65,13.45,20,13.47,18.54,20,11.47,28.65,24.14,19.87,17.65,13.69,15.47,11.63,10.24,13.54,11,19.74,21.25,29.54,11.41,10.87,8.47,12.69,10.14,18.63,22.54,17.65,16.41,17.65,19.87,21.45,22.65,20.69,23.74,20.96,18.35,17.84,20.54,21.63,27.61,19.47,23.52,25.64,19.33,20.64,18.98,15.67,23.74,22.89,24.66,29.4,19.87,17.55,15.94,21.74,23.51,24.84,18.47,21.01,16.74,27.45,19.54,17.74,21.65,24.74,26.89,23.22,20.16,21.88)
> ylab = 'y'
> xlab = 'x'
> postscript(file="/var/wessaorg/rcomp/tmp/1ej9t1324568791.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$counts, histx$counts))
> xrange <- c(min(x),max(x))
> yrange <- c(min(y),max(y))
> nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
> par(mar=c(4,4,1,1))
> plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab)
> par(mar=c(0,4,1,1))
> barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
> par(mar=c(4,0,1,1))
> barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
> dev.off()
null device 
          1 
> lx = length(x)
> makebiased = (lx-1)/lx
> varx = var(x)*makebiased
> vary = var(y)*makebiased
> corxy <- cor.test(x,y,method='pearson')
> cxy <- as.matrix(corxy$estimate)[1,1]
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistic',1,TRUE)
> a<-table.element(a,'Variable X',1,TRUE)
> a<-table.element(a,'Variable Y',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','Mean',''),header=TRUE)
> a<-table.element(a,mean(x))
> a<-table.element(a,mean(y))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/biased.htm','Biased Variance',''),header=TRUE)
> a<-table.element(a,varx)
> a<-table.element(a,vary)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/biased1.htm','Biased Standard Deviation',''),header=TRUE)
> a<-table.element(a,sqrt(varx))
> a<-table.element(a,sqrt(vary))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/covariance.htm','Covariance',''),header=TRUE)
> a<-table.element(a,cov(x,y),2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/pearson_correlation.htm','Correlation',''),header=TRUE)
> a<-table.element(a,cxy,2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/coeff_of_determination.htm','Determination',''),header=TRUE)
> a<-table.element(a,cxy*cxy,2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ttest_statistic.htm','T-Test',''),header=TRUE)
> a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value (2 sided)',header=TRUE)
> a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value (1 sided)',header=TRUE)
> a<-table.element(a,p2/2,2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Degrees of Freedom',header=TRUE)
> a<-table.element(a,lx-2,2)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Number of Observations',header=TRUE)
> a<-table.element(a,lx,2)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2g7gc1324568791.tab") 
> 
> try(system("convert tmp/1ej9t1324568791.ps tmp/1ej9t1324568791.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.524   0.091   0.604