y <- c(1024,768,700,768,800,1024,800,768,800,1024,800,800,1024,949,900,1200,800,800,768,735,800,845,900,768,768,768,800,1440,768,768,1024,800,900,800,900,768,900,857,800,900,800,768,768,880,768,735,1200,785,800,800,900,1050,900,768,641,1024,800,800,800,800,900,800,864,1024,800,900,800,1024,900,800,800,900,800,1024,900,768,768,800,800,900,768,800,768,800,900,800,800,880,800,900,900,1050,900,900,550,800,990,800,800,800,768,768,900,800,1024,1080,768,768,900,698,900,737,768,640,800,900,800,800,800,900,800,768,768,864,768,768,768,1050,1050,800,768,768,900,768,800,800,800,768,800)
x <- c(1280,1024,1120,1024,1280,1280,1280,1024,1280,1280,1280,1280,1280,1688,1440,1600,1280,1280,1280,1176,1280,1503,1440,1366,1280,1024,1280,2560,1280,1024,1280,1280,1440,1280,1440,1024,1440,1143,1280,1440,1280,1366,1024,1408,1366,1176,1920,1257,1280,1280,1440,1680,1440,1024,1140,1280,1280,1280,1280,1280,1440,1280,1152,1280,1280,1440,1280,1280,1440,1280,1280,1440,1280,1280,1600,1024,1366,1280,1280,1440,1366,1280,1024,1280,1440,1280,1280,1408,1280,1600,1600,1680,1440,1440,917,1280,1760,1280,1280,1280,1024,1366,1440,1280,1280,1920,1024,1024,1600,1117,1440,983,1024,1024,1280,1440,1280,1280,1280,1440,1280,1024,1024,1152,1280,1024,1366,1680,1680,1280,1366,1024,1440,1024,1280,1280,1280,1024,1280)
par20 = ''
par19 = ''
par18 = ''
par17 = ''
par16 = ''
par15 = ''
par14 = ''
par13 = ''
par12 = ''
par11 = ''
par10 = ''
par9 = ''
par8 = ''
par7 = ''
par6 = ''
par5 = ''
par4 = ''
par3 = ''
par2 = ''
par1 = ''
ylab = 'Height'
xlab = 'Width'
postscript(file="/var/fisher/rcomp/tmp/13egj1349202006.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()
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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/fisher/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/fisher/rcomp/tmp/2lwqa1349202006.tab") 

try(system("convert tmp/13egj1349202006.ps tmp/13egj1349202006.png",intern=TRUE))