R version 2.6.0 (2007-10-03) Copyright (C) 2007 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > y <- c(-7315,6179,-7146,2033,3447,-2844,-178,39,-3386,1915,1602,-3011,9165,-3699,777,3033,-12392,2467,1932,-2101,3876,-1876,-1679,-893,-5942,-1194,2869,1663,5207,1902,-912,-1428,2833,-1176,280,-1575,5831,-2561,2152,-7643,-1304,1348,-2029,5939,-5121,-574,2362,-2874,-2936,2707,-3112,4182,4363,-948,1813,-1356,1373,-460,3739,-7519,5797,4664,-1047,-5647,194,-4177,3149,154,-2136,3999,-3206,3455,-5506,-3550,1790,5278,2999,-2759,1227,-1875,-2315,2307,-2419) > x <- c(-1.48033E-05 + ,-0.000559728 + ,-0.001661464 + ,-0.000206111 + ,0.000391534 + ,-0.001306447 + ,-0.001030865 + ,-0.000471111 + ,-0.000514407 + ,-0.000349283 + ,-0.00163664 + ,0.00059502 + ,-0.001215959 + ,-0.001610338 + ,0.000514799 + ,-0.001358222 + ,-0.001649181 + ,9.56556E-05 + ,0.000571407 + ,-0.002569009 + ,0.000609157 + ,0.000228 + ,0.001641234 + ,0.001548685 + ,-0.001081926 + ,0.000501447 + ,-0.001669946 + ,-0.001643796 + ,0.000933258 + ,0.001225474 + ,0.000671829 + ,-0.001156959 + ,0.001554204 + ,0.000697463 + ,0.000298945 + ,0.000118779 + ,-0.000454979 + ,-0.000758256 + ,-0.001883814 + ,0.000350195 + ,0.000809793 + ,-0.0002472 + ,-0.000114181 + ,-0.000733486 + ,-0.000524683 + ,0.001066399 + ,8.9809E-05 + ,-0.000808946 + ,-0.000936656 + ,-0.000496893 + ,0.001386333 + ,0.001422328 + ,-0.000277787 + ,-0.00029437 + ,-0.001290847 + ,-0.000512573 + ,0.000477472 + ,-0.000111006 + ,8.17718E-05 + ,1.75385E-05 + ,-0.000274125 + ,-0.000991596 + ,-0.001164287 + ,-0.001917012 + ,0.000216283 + ,-0.000619477 + ,-0.000813221 + ,-0.000210582 + ,-0.001277084 + ,0.000931432 + ,0.001251757 + ,0.00067761 + ,-0.001415316 + ,-0.001332513 + ,-0.002224636 + ,0.000261857 + ,-0.001180315 + ,-0.001831976 + ,-0.000562689 + ,-0.001427773 + ,0.000379311 + ,0.002175279 + ,0.000570308) > ylab = 'Inschrijvingen PW' > xlab = 'Tot. CPI gebruik PV' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: Wessa P., (2007), Pearson Correlation (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > postscript(file="/var/www/html/rcomp/tmp/182s71199534624.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$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] > load(file='/var/www/html/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/html/rcomp/tmp/2o5mm1199534624.tab") > > system("convert tmp/182s71199534624.ps tmp/182s71199534624.png") > > > proc.time() user system elapsed 0.615 0.165 1.052