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Type 'q()' to quit R. > y <- c(17501,2127,6187,5006,6005,5127,3022,2291,6084,8323,2338,1432,4019,3167,1292,4622,1631,4783,3417,4858,3057,16061,1533,11544,4115,850,501,1148,224,185,1083,478,815,1932,643,472,14367,920,997,2834,466,912,894,491,371,1422,343,1047) > x <- c(209,169,325,293,93,297,2125,149,106,172,107,155,751,79,149,589,44,320,270,141,314,341,101,2053,81,46,73,44,33,115,70,58,68,62,160,65,101,80,80,74,70,102,65,87,81,155,111,37) > ylab = 'Inbreng in contanten bij opricht. venn.' > xlab = 'Inbreng in contanten bij kap.verhoging' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > postscript(file="/var/www/html/rcomp/tmp/17hpd1224429758.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > histx <- hist(x, plot=FALSE) > histy <- hist(y, plot=FALSE) > maxcounts <- max(c(histx$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] > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > 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/2bv651224429758.tab") > > system("convert tmp/17hpd1224429758.ps tmp/17hpd1224429758.png") > > > proc.time() user system elapsed 0.561 0.144 0.636