R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(3118.6,3089.8,3312.3,3106.1,2843.1,3300.4,3147.9,2742.7,3397.3,3461.4,3314.8,3248,2938,3473.8,3839.1,3601.9,3173.2,3938.3,3034.2,2900.5,4236.3,3433.4,3777.8,3709.8,3192.8,3640.2,4275.3,3708.9,3312.1,3948,3084.8,3412.8,4036.3,3608.7,3911.8,3857.3,3567.3,4022.2,4948.6,3645,3982.5,4175.4,3660.9,4019.7,4447.6,4211.6,4252.3,3703.1,4052.1,4462,4862.6,4114.4,4630.4,4694.1,4189.4,4158,4533.8,4906.2,4858.8,4059)
> x <- c(117,122.2,116.8,115,105.3,114.1,102.1,91,123.2,125.8,108.1,117.2,111,114.5,141.9,135.5,128.3,142.7,135.4,174.3,186,154.9,146.2,135.9,118,113.3,138,138,116.7,303,111.6,110.1,132.8,133.2,135.9,153.7,132.7,141.1,168,136,134.7,146.4,135.5,134.8,145,156.4,161.7,144.1,147.7,152.2,170.7,225.8,151.3,162.3,132.6,130.1,149.1,340.7,243.4,238.1)
> ylab = 'invoer Duitsland'
> xlab = 'invoer Luxemburg'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_correlation.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> postscript(file="/var/www/html/rcomp/tmp/1ll8e1224539541.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> histx <- hist(x, plot=FALSE)
> histy <- hist(y, plot=FALSE)
> maxcounts <- max(c(histx$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/2cgrd1224539541.tab") 
> 
> system("convert tmp/1ll8e1224539541.ps tmp/1ll8e1224539541.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.583   0.153   1.587