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Type 'q()' to quit R. > y <- c(11.54,25.47,34.78,29.21,43.9,33.47,55.10,48.13,33.25,25.33,26.98,88.74,36.54,11.78,29.11,32.47,36.99,27.55,18.55,14.33,8.78,40.55,22.63,20.47,60.03,50.14,30.63,36.99,27.55,18.55,14.33,21.63,36.12,23.69,54.12,45.16,69.41,41.96,13.25,26.98,88.74,36.54,11.78,29.11,32.47,55.17,17.66,19.64,44.47,50.17,21.63,36.12,23.69,33.25,25.33,26.98,14.33,8.78,17.66,19.64,13.25,16.17,9.66,20.45,24.21,19.65,21.25,33.64,25.44,60.74,71.33,55.21,66.23,19.65,23.52,25.64,19.33,20.64,18.98,15.67,20.00,11.47,28.65,24.14,19.87,17.65,30.54,28.57,29.65,31.22,32.00,19.64,41.88,45.98,34.12,30.88,25.96,20.33,26.98,27.12,21.66,27.96,28.63,29.10,34.25,39.77,41.23,14.10,19.54,8.78,24.55,34.87,31.47,21.65,19.77,9.23,7.55,22.44,16.89,47.55) > x <- c(14.69,20.15,11.78,21.47,17.54,21.47,18.55,14.33,8.78,17.66,19.64,13.25,16.17,9.66,20.45,24.21,19.65,21.33,14.47,16.22,16.66,19.87,14.55,19.41,20.63,9.12,8.36,19.36,25.78,14.66,27.55,22.63,30.33,22.22,11.99,9.47,10.33,15.36,14.99,17.31,18.94,16.54,18.21,11.74,17.41,9.99,21.14,19.70,14.87,19.65,27.65,13.45,20.00,13.47,18.54,20.00,11.47,28.65,24.14,19.87,17.65,13.69,15.47,11.63,10.24,13.54,11.00,19.74,21.25,29.54,11.41,10.87,8.47,12.69,10.14,18.63,22.54,17.65,16.41,17.65,19.87,21.45,22.65,20.69,23.74,20.96,18.35,17.84,20.54,21.63,27.61,19.47,23.52,25.64,19.33,20.64,18.98,15.67,23.74,22.89,24.66,29.40,19.87,17.55,15.94,21.74,23.51,24.84,18.47,21.01,16.74,27.45,19.54,17.74,21.65,24.74,26.89,23.22,20.16,21.88) > ylab = 'y' > xlab = 'x' > postscript(file="/var/www/rcomp/tmp/1a0n71321297373.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/25jyh1321297373.tab") > > try(system("convert tmp/1a0n71321297373.ps tmp/1a0n71321297373.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.608 0.068 0.660