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(-3.713734268,-4.444217543,-6.064539727,-3.405184094,-2.354378635,-3.844217543,-3.105184094,-3.774700819,-3.405184094,-0.840747915,-2.711875557,-3.822036649,-0.611875557,-3.632197741,-3.859211388,-1.64396975,-1.493164292,-1.567761562,-1.237278287,-2.477922654,-1.681392282,0.47610464,-0.957848263,-1.357848263,0.310057544,-2.808653722,-2.168009355,0.303118287,-1.047687171,0.935460273,0.984654814,-0.047439379,-0.35760047,3.210305337,-1.123647567,0.359499878,0.806835708,-1.889694663,-1.277922654,0.411916254,1.040788612,1.201755163,-0.55760047,0.508446626,-0.006795012,2.237318984,-0.05760047,1.508446626,1.813527172,1.088124443,-0.377922654,1.093204988,3.944010447,3.079574268,1.469413177,4.179574268,2.783043897,4.154171539,5.377963351,3.494815906,6.223688264,4.825299181,2.350701911,5.679574268,5.40150737,1.869165384,0.426662306,-0.034552037,-0.417699482,1.058508706,-0.605927472,-1.126249656,1.304233619)
> x <- c(-2.529152518,-2.982359944,-6.417831562,-1.888774797,-1.400095753,-3.082359944,-3.288774797,-3.535567371,-2.888774797,-0.350850128,-1.975000789,-2.992736598,-0.475000789,-2.510472407,-4.732170017,-0.805566304,-0.61688726,-1.072547738,-1.719340311,-2.490283547,-1.721793363,1.053111673,-0.131605569,-0.731605569,0.437828916,-1.720284613,-2.849341378,1.374809283,-0.213869761,0.982168438,-0.206510606,-0.93707612,-0.654811929,2.414622556,-1.370094686,0.625943512,1.28311274,-1.085377444,-2.290283547,0.991980645,1.267829983,1.474244836,-1.154811929,0.560470828,0.233867115,2.936320167,0.145188071,1.460470828,2.469338733,1.224999211,-0.790283547,1.433867115,3.922546159,2.48462149,-0.333114319,2.68462149,2.816131306,3.140281968,4.607263402,3.111225203,5.587074541,4.264432629,0.208772151,4.58462149,4.297451195,0.090092041,-1.035002923,-1.018211416,-0.414249615,1.018768951,-0.019155718,-0.454627335,1.698580091)
> ylab = 'y'
> xlab = 'x'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> postscript(file="/var/www/html/rcomp/tmp/1xmk71257360655.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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/20tis1257360655.tab") 
> 
> system("convert tmp/1xmk71257360655.ps tmp/1xmk71257360655.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.354   0.166   0.457