R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(18.9000,16.6000,17.2000,19.2000,17.1000,17.7000,18.7000,15.9000,16.0000,16.8000,16.0000,16.8000,16.3000,13.6000,14.3000,15.5000,13.9000,14.3000,15.8000,14.5000,15.1000,15.8000,17.2000,20.4000,21.3000,18.2000,20.2000,21.1000,19.7000,21.5000,20.2000,19.0000,20.2000,18.0000,19.5000,20.3000,18.0000,16.4000,17.8000,18.5000,18.2000,16.7000,19.1000,16.8000,17.5000,16.2000,17.9000,17.7000,17.2000,15.7000,15.2000,17.7000,17.4000,15.9000,19.7000,16.7000,16.9000,18.0000,17.6000,15.2000,16.5000,14.7000,14.1000,16.9000,15.2000,15.4000,16.8000,14.8000,14.1000,15.0000,14.8000,15.0000,15.1000,12.8000,13.0000,15.7000,12.8000,13.9000,15.4000,13.2000,12.7000,13.5000,12.8000,13.9000,13.3000,10.7000,12.3000,12.9000,12.5000,13.0000,13.9000,13.1000,13.1000,13.0000,12.8000,14.2000,13.0000,11.2000,12.1000,12.9000,13.2000,13.2000,13.5000,12.4000,12.4000,11.6000,12.6000,13.1000,12.3000,11.4000,11.8000,13.4000,13.6000,12.9000,14.5000,13.3000,13.5000)
> x <- c(19.6000,16.0000,17.7000,19.8000,17.0000,17.4000,18.9000,15.7000,15.2000,15.8000,16.0000,16.1000,16.2000,12.5000,14.8000,15.4000,13.6000,14.2000,15.0000,14.1000,13.7000,14.4000,15.6000,19.7000,20.4000,16.1000,20.1000,20.6000,19.3000,20.5000,19.2000,19.0000,18.7000,16.5000,19.0000,20.5000,18.4000,16.2000,18.1000,19.3000,18.3000,17.2000,19.6000,17.2000,17.4000,16.0000,18.5000,18.4000,18.2000,14.9000,16.3000,18.3000,18.0000,15.9000,19.6000,16.6000,16.2000,16.6000,17.5000,16.2000,17.5000,13.8000,14.9000,17.2000,15.6000,16.2000,17.4000,15.1000,14.5000,15.1000,15.5000,15.9000,15.9000,12.3000,14.4000,16.0000,13.9000,14.7000,16.2000,13.8000,13.2000,13.5000,13.5000,15.0000,14.5000,10.5000,13.7000,13.9000,13.4000,14.0000,14.3000,13.3000,13.2000,12.6000,13.7000,15.6000,14.4000,11.0000,13.7000,13.8000,14.3000,14.0000,14.6000,13.1000,13.2000,11.6000,13.3000,14.4000,13.3000,11.3000,13.2000,14.1000,14.0000,12.9000,15.2000,13.6000,13.7000)
> ylab = 'Invoer België'
> xlab = 'Uitvoer België'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> postscript(file="/var/www/html/rcomp/tmp/15hoj1292844756.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/2x1k11292844756.tab") 
> 
> try(system("convert tmp/15hoj1292844756.ps tmp/15hoj1292844756.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.377   0.178   1.573