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(4.803347692,5.007753445,4.917809207,4.668370472,4.816129041,5.236337478,4.463608092,5.059242059,5.284560886,5.205640245,5.060101415,5.228728367,5.042168348,4.282499541,5.136010229,5.199051161,5.204889056,4.567045063,4.038122253,4.653504882,5.16726563,4.40542852,4.070192255,4.543921158,4.457825891,4.703657658,4.868043268,4.69553989,4.284070866)
> x <- c(0.552841969,0.62838893,0.670941281,0.698970004,0.714482171,0.729459326,0.745966567,0.748188027,0.77815125,0.816609502,0.823908741,0.858670847,0.865301426,0.875061263,0.87917783,0.884606581,0.916453949,0.934498451,0.944482672,0.985276743,1,1,1,1.010723865,1.041392685,1.071882007,1.130333768,1.138302698,1.491361694)
> ylab = 'y'
> xlab = 'x'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Pearson Correlation (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> x <- x[!is.na(y)]
> y <- y[!is.na(y)]
> y <- y[!is.na(x)]
> x <- x[!is.na(x)]
> postscript(file="/var/wessaorg/rcomp/tmp/196261372342263.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
> dev.off()
null device 
          1 
> lx = length(x)
> makebiased = (lx-1)/lx
> varx = var(x)*makebiased
> vary = var(y)*makebiased
> corxy <- cor.test(x,y,method='pearson', na.rm = T)
> cxy <- as.matrix(corxy$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/20fml1372342263.tab") 
> 
> try(system("convert tmp/196261372342263.ps tmp/196261372342263.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.113   0.274   1.372