R version 2.8.0 (2008-10-20) Copyright (C) 2008 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(129.5,103.7,114.2,123.5,111.3,126.5,119.6,116.5,116.7,119.4,124,130.6,120.1,113.2,111.1,126,115.8,111,128.7,112.6,114.7,118.5,124.8,128.6,127,111.8,100.6,122.9,117.8,108.1,129.6,111.4,110,115.2,118.8,116.2,126.3,106.7,96.5,119.1,109.6,110.3,118.8,104.5,107.7,127.7,118.5,120.1,127.4,107.8,106.5,124.6,101.9,106.5,119.4,103.3,99.6,120.9,111.7,123.9) > x <- c(142,109,120.7,159.6,142.4,145.1,148.9,136.9,119.9,133.9,131,133.2,135,99.1,110.8,152.3,131.9,127.9,142,118.7,116.3,125.7,122.7,125.3,123.2,88.8,94.9,136.8,128.7,110.8,132.8,112,104.5,112,110.6,107.2,116.2,85.7,94.2,127.2,108.9,111.9,126.3,105.9,101.3,105.5,106.3,117.3,110.9,85.4,81.9,121.5,106.3,111.8,122.8,101.8,92.2,106.3,103,97.7) > par7 = 'Y' > par6 = 'Y' > par5 = '0' > par4 = '0' > par3 = '0' > par2 = '50' > par1 = '50' > ylab = 'Consumptiegoederen' > xlab = 'Investeringsgoederen' > main = 'Bivariate Kernel Density' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as(par1,'numeric') > par2 <- as(par2,'numeric') > par3 <- as(par3,'numeric') > par4 <- as(par4,'numeric') > par5 <- as(par5,'numeric') > library('GenKern') Loading required package: KernSmooth KernSmooth 2.22 installed Copyright M. P. Wand 1997 Loading GenKern version 1.1 Copyright Lucy and Aykroyd 2000 last update October 2004 requires KernSmooth Package GenKern installed > if (par3==0) par3 <- dpik(x) > if (par4==0) par4 <- dpik(y) > if (par5==0) par5 <- cor(x,y) > if (par1 > 500) par1 <- 500 > if (par2 > 500) par2 <- 500 > postscript(file="/var/www/html/rcomp/tmp/10s571229334516.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) > image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab) > if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE) > if (par7=='Y') points(x,y) > (r<-lm(y ~ x)) Call: lm(formula = y ~ x) Coefficients: (Intercept) x 79.6098 0.3114 > abline(r) > box() > dev.off() null device 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,'Bandwidth',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'x axis',header=TRUE) > a<-table.element(a,par3) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'y axis',header=TRUE) > a<-table.element(a,par4) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'correlation used in KDE',header=TRUE) > a<-table.element(a,par5) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'correlation(x,y)',header=TRUE) > a<-table.element(a,cor(x,y)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/299rv1229334516.tab") > > system("convert tmp/10s571229334516.ps tmp/10s571229334516.png") > > > proc.time() user system elapsed 0.597 0.277 0.769