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Type 'q()' to quit R. > y <- c(13,13,16,12,11,12,18,11,14,9,14,12,11,12,13,11,12,16,9,11,13,15,10,11,13,16,15,14,14,14,8,13,15,13,11,15,15,9,13,16,13,11,12,12,12,14,14,8,13,16,13,11,14,13,13,13,12,16,15,15,12,14,12,15,12,13,12,12,13,5,13,13,14,17,13,13,12,13,14,11,12,12,16,12,12,12,10,15,15,12,16,15,16,13,12,11,13,10,15,13,16,15,18,13,10,16,13,15,14,15,14,13,13,15,16,14,14,16,14,12,13,12,12,14,14,14,16,13,14,4,16,13,16,15,14,13,14,12,15,14,13,14,16,6,13,13,14,15,14,15,13,16,12,15,12,14) > x <- c(13,12,10,9,10,12,13,12,15,6,5,12,11,14,14,12,12,11,11,7,9,11,11,12,12,11,11,8,9,12,10,10,12,8,12,11,12,7,11,11,12,9,15,11,11,11,11,15,11,12,12,9,12,12,13,11,9,9,11,11,12,12,9,11,9,12,12,12,12,14,11,12,11,6,10,12,13,8,12,12,12,6,11,10,12,13,11,7,11,11,11,11,12,10,11,12,7,13,8,12,11,12,14,10,10,13,10,11,10,7,10,8,12,12,12,11,12,12,12,11,12,11,11,13,12,12,12,12,8,8,12,11,12,13,12,12,11,12,12,10,11,12,12,10,12,13,12,15,11,12,11,12,11,10,11,11) > ylab = 'y' > xlab = 'x' > postscript(file="/var/www/rcomp/tmp/1a5u11321982191.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') > cxy <- as.matrix(corxy$estimate)[1,1] > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistic',1,TRUE) > a<-table.element(a,'Variable X',1,TRUE) > a<-table.element(a,'Variable Y',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','Mean',''),header=TRUE) > a<-table.element(a,mean(x)) > a<-table.element(a,mean(y)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/biased.htm','Biased Variance',''),header=TRUE) > a<-table.element(a,varx) > a<-table.element(a,vary) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/biased1.htm','Biased Standard Deviation',''),header=TRUE) > a<-table.element(a,sqrt(varx)) > a<-table.element(a,sqrt(vary)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/covariance.htm','Covariance',''),header=TRUE) > a<-table.element(a,cov(x,y),2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/pearson_correlation.htm','Correlation',''),header=TRUE) > a<-table.element(a,cxy,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/coeff_of_determination.htm','Determination',''),header=TRUE) > a<-table.element(a,cxy*cxy,2) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ttest_statistic.htm','T-Test',''),header=TRUE) > a<-table.element(a,as.matrix(corxy$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/rcomp/tmp/2lgx81321982191.tab") > > try(system("convert tmp/1a5u11321982191.ps tmp/1a5u11321982191.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.616 0.064 1.357