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Type 'q()' to quit R. > y <- c(4.6,4.0,4.1,6.5,6.7,5.0,5.0,8.7,8.2,7.3,6.1,5.4,5.8,7.4,8.1,10.9,8.2,6.9,6.7,7.1,5.9,5.4,4.8,6.6,8.5,8.4,9.1,8.3,8.6,8.3,6.7,6.2,6.1,5.9,8.9,10.2,9.5,9.0,8.4,8.6,9.4,13.1,22.1,20.9,19.2,17.3,16.0) > x <- c(2.67,-0.32,0.26,1.97,1.82,1.04,0.4,3.15,3.93,2.57,2.51,1.55,2.58,2.46,3.83,5.71,4.59,4.88,4.82,3.07,2.95,2.7,3.7,4.36,4.44,3.71,2.78,2.14,1.33,0.25,-0.76,-1.3,-2.3,-1.21,1.44,3.28,3.36,2.43,1.79,1.11,3.12,9.8,8.65,8.37,6.69,4.05,3.74) > ylab = 'Median weeks unemployed' > xlab = 'Defict/GDP ratio' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > x <- x[!is.na(y)] > y <- y[!is.na(y)] > y <- y[!is.na(x)] > x <- x[!is.na(x)] > postscript(file="/var/wessaorg/rcomp/tmp/1dp231400539884.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$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/2jo851400539884.tab") > > try(system("convert tmp/1dp231400539884.ps tmp/1dp231400539884.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.775 0.112 0.889