R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> y <- c(72772,45104,44525,41169,31118,28435,22162,20202,17773,17094,15153,11218,10796,9594,9309,8556,8041,7639,6884,6642,6321,6216,5865,5799,5695,5644,5446,5395,5363,5338,5160,5091,5057,5039,4880,4735,4693,4653,4586,4398,3974,3858,3826,3819,3556,3372,3193,3126,3104,2967,2848,2748,2649,2625,2572,2548,2477,2442,2392,2372,2346,2251,2230,2225,2220,2205,2193,2116,2102,2099,2096,2064,2036,1920,1813,1776,1752,1738,1729,1685,1684,1549,1533,1528,1489,1456,1393,1370,1357,1292,1278,1256,1219,1217,1187,1187,1182,1157,1156,1155)
> x <- c(22274,14819,15136,13704,19638,7551,8019,6509,6634,11166,7508,4275,4944,5441,1689,1522,1416,1594,1909,2599,1262,1199,4404,1166,1122,886,778,4436,1890,3107,1038,300,988,2008,1522,1336,976,798,869,1260,578,2359,736,1690,1201,813,778,687,1270,671,1559,489,773,629,637,277,776,1651,377,222,1068,399,547,668,451,724,853,434,730,612,558,859,311,318,312,343,710,273,259,1274,625,245,235,250,NA,303,250,403,441,1507,388,530,107,868,NA,753,62,346,478,292)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> x <- x[!is.na(y)]
> y <- y[!is.na(y)]
> y <- y[!is.na(x)]
> x <- x[!is.na(x)]
> postscript(file="/var/wessaorg/rcomp/tmp/17x1e1352119716.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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/2qd9j1352119716.tab") 
> 
> try(system("convert tmp/17x1e1352119716.ps tmp/17x1e1352119716.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.904   0.140   1.025