R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> y <- c(7,4,4,4,4,6,4,2,6,3,6,5,4,5,7,4,1,6,7,4,5,4,1,4,2,6,6,3,5,5,6,5,4,4,1,5,3,4,7,7,5,5,7,7,7,2,3,2,4,4,4,4,5,4,5,5,5,5,5,5,4,5,7,6,5,5,6,5,5,3,5,5,4,5,6,4,4,6,4,5,6,3,5,5,5,7,6,4,2,6,3,6,3,5,5,5,5,4,4,6,2,7,4,6,6,4,5,4,4,6,4,5,3,5,6,3,5,4,6,3,4,6,4,5,7,5,6,2,5,6,3,6,2,4,5,3,5,5,6,5,2,5,5,4,6,5,4,4,5,5,4,6,6,7,7,5,4,4,3,4,4,4)
> x <- c(5,4,5,4,4,6,5,3,4,4,2,5,3,5,6,4,3,6,7,2,6,4,1,4,3,6,6,3,6,4,7,4,4,3,4,6,3,2,7,7,5,5,6,7,6,3,4,4,4,2,4,3,5,3,5,5,4,5,5,6,4,4,7,6,5,6,6,5,4,2,7,5,5,6,6,4,4,6,6,5,7,3,6,5,6,7,4,2,3,5,5,6,3,3,5,5,3,4,1,7,4,7,4,5,5,6,4,4,4,6,4,3,3,5,5,3,4,5,5,3,3,5,3,4,7,6,5,2,4,6,6,5,4,4,5,3,5,5,5,6,4,3,3,4,5,5,3,6,5,4,5,4,7,5,3,5,2,4,3,4,5,4)
> ylab = 'Q1_13'
> xlab = 'Q1_6'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> x <- x[!is.na(y)]
> y <- y[!is.na(y)]
> y <- y[!is.na(x)]
> x <- x[!is.na(x)]
> postscript(file="/var/wessaorg/rcomp/tmp/1m8291382527123.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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/2lrfn1382527123.tab") 
> 
> try(system("convert tmp/1m8291382527123.ps tmp/1m8291382527123.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.333   0.342   1.646