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Type 'q()' to quit R. > y <- c(6051.07,6167.66,5587.06,5657.46,6352.56,6108.39,6586.95,6607.38,6459.68,6190.81,6444.86,7169.82,7250.57,7310.68,7684.37,7651.82,7644.85,8016.21,7247.46,6724.98,5808.77,5699.74,6280.59,6791.67,7629.06,7971.4,7637.21,8187.56,8831.99,10240.48,11999.11,13771.49,14705.52,14381.68,12675.67,12323.25,12645.35,12364.94,13224.86,14007.01,14296.55,14709.99,14362.87,15128.12,15156.85,15186.78,14801.8,15595.89,15661.1,15766.13,16466.05,16939.78,17674.95,18575.54,19559.1,19836.28,20590.3,21021.43,20819.74,21249.25,22139.92,23200.07,22860.9,22592.27,23574.65,24412.02,25502.52,26009.97,25640.46,26030.4,25281.85,26185.81,27822.62,28717.52,29443.29,30115.34,31069.41,31876.78,32112.35,31614.01,32255.32,32746.79,33670.65,34111.44,34977.42,36101.89,37238.28,38591.91,39749.59,39767.99,40061.71,40696.59,41726.8,42612.3,43331.93,43726.18,43177.7,41491.4,42124.31,42619.72,43269.78,43325,44324) > x <- c(0,7,7,7,15,67,77,73,73,73,56,56,46,25,25,25,25,24,25,25,63,63,63,63,79,79,79,79,81.1,81,88,88,94,94,94,86.45,86.45,82.13,82.13,91,91,92,92,91,91,91,91,91,91,91,91,91,91,77,70,70,70,75.25,77,71.75,70,70,70,70,70,70,70,70,70,70,69.13,50,50,50,50,50,38.5,28,28,28,31,31,39.6,39.6,39.6,39.6,39.6,39.6,39.6,39.6,39.1,38.6,35,35,35,35,35,35,35,35,35,39.5,39.5) > ylab = 'Real Per-caita GDP' > xlab = 'Top marginal rate' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > x <- x[!is.na(y)] > y <- y[!is.na(y)] > y <- y[!is.na(x)] > x <- x[!is.na(x)] > postscript(file="/var/wessaorg/rcomp/tmp/19d2o1396979568.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=8.3333333333333) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$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/2zn8k1396979568.tab") > > try(system("convert tmp/19d2o1396979568.ps tmp/19d2o1396979568.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.535 0.259 1.773