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Type 'q()' to quit R. > y <- c(42.645,42.800,43.090,43.313,43.551,43.639,44.177,43.666,43.974,44.463,45.084,45.666,46.118,46.548,47.120,47.582,47.944,48.404,48.584,49.215,49.985,49.808,49.874,50.479,50.261,50.848,51.191,51.450,52.171,51.537,51.696,51.059,50.671,51.183,51.345,51.834,52.199,52.799,52.947,53.837,64.597,64.795,65.246,65.338,65.307,65.630,65.732,66.184,66.995,68.216,68.776,69.144,69.375,69.525,69.705,69.763,70.647,71.539,72.526,73.478,73.957,74.507,74.962,75.705,75.397,75.532,75.223,75.110,75.836,76.212,76.592,76.720,76.621,76.672,76.973,77.488,78.540,79.004,79.779,79.873,80.060,80.602,81.206,81.736,82.268,82.521,83.329,84.190,85.032,85.268,85.557,85.730,86.385,86.851,86.464,84.603,83.178,83.298,84.163,84.531,84.595,85.472,85.822) > x <- c(10.6,9.6,10.1,10.2,10.1,9.6,10.1,10.3,10.1,9.4,9.9,9.8,9.4,8.6,8.9,8.4,7.9,7,7.4,7.2,6.8,6.1,6.7,6.6,6.4,6,6.6,6.8,6.8,6.5,7.3,7.7,8,8,9.1,9.5,9.7,9.4,10,9.9,9.7,9.2,9.9,10,9.9,9.2,9.6,9.4,9.1,8.7,9.5,9.5,9.4,9,9.6,9.3,9,8.5,8.5,7.9,7.2,6.5,7.1,6.8,6.2,6.2,6.5,7.5,7.4,6.9,7.6,8.1,8.2,7.7,8.3,8.5,8.7,7.4,9.1,8.4,8.6,8.1,8.7,8.5,8.7,8.3,8.1,7.9,8,7.6,7.3,7.1,7.1,6.3,7.7,6.8,7.9,7.5,8.2,8.1,8.6,8.1,8.8) > ylab = 'y' > xlab = 'x' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > postscript(file="/var/www/rcomp/tmp/1oemg1292859869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$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/2wrn71292859869.tab") > > try(system("convert tmp/1oemg1292859869.ps tmp/1oemg1292859869.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.460 0.180 0.612