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(0.034947641,0.034947641,0.025154648,0.0227064,0.0227064,0.003120415,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,-0.001776081,0.008506561,0.01046516,0.01046516,0.020258152,0.0227064,0.0227064,0.029561495,0.034947641,0.043761334,0.047188881,0.055512925,0.059430122,0.066285216,0.071671362,0.071671362,0.079016106,0.083912603,0.083912603,0.091257347,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.096153843,0.104967536,0.108395084,0.108395084,-0.632584216,-0.907763354,-0.940569878)
> x <- c(-0.015358691,-0.185358691,-0.202353256,-0.144101897,-0.174101897,0.051908975,0.048411693,0.028411693,0.058411693,0.048411693,0.068411693,0.058411693,0.058411693,-0.031588307,-0.051588307,-0.151588307,-0.041588307,-0.021588307,0.008411693,0.008411693,0.008411693,0.008411693,0.048411693,0.068411693,0.058411693,0.028411693,0.018411693,0.028411693,0.018411693,0.008411693,-0.001588307,0.008411693,0.018411693,0.038411693,0.128411693,0.103755986,0.097154898,0.137154898,-0.005850538,0.095898103,0.125898103,0.082794298,0.084641309,-0.055063584,-0.006615486,-0.074670107,-0.017872281,-0.080976087,-0.149129076,-0.079129076,-0.173883153,-0.220385871,-0.130385871,-0.205139948,-0.261642666,-0.071642666,0.168357334,0.228357334,0.168357334,0.308357334,0.138357334,-0.101642666,-0.041642666,0.208357334,0.308357334,0.278357334,0.298652441,0.057100539,0.077100539,0.510401082,-0.888440492,-0.817872281)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> postscript(file="/var/www/html/rcomp/tmp/1n9291257411543.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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/2tjaa1257411543.tab") 
> 
> system("convert tmp/1n9291257411543.ps tmp/1n9291257411543.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.379   0.151   0.432