R version 2.9.0 (2009-04-17) Copyright (C) 2009 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(109.7,99.1,86.7,111.4,78.4,76.7,114.2,99.7,94.2,173.5,83.1,88.9,132.0,122.1,105.1,133.7,63.6,112.7,120.5,112.0,126.2,209.2,91.0,116.7,137.6,108.1,136.6,152.3,114.3,120.7,131.8,129.4,187.5,189.5,109.2,158.1,176.2,125.5,155.0,170.3,99.4,139.2,169.6,136.1,168.2,318.6,154.1,161.4,183.4,166.3,203,174.6,124.3,154.4,170.5,169.4,171.1,289.2,145.6,134.4,168.2) > x <- c(115.6,111.3,114.6,137.5,83.7,106.0,123.4,126.5,120.0,141.6,90.5,96.5,113.5,120.1,123.9,144.4,90.8,114.2,138.1,135.0,131.3,144.6,101.7,108.7,135.3,124.3,138.3,158.2,93.5,124.8,154.4,152.8,148.9,170.3,124.8,134.4,154.0,147.9,168.1,175.7,116.7,140.8,164.2,173.8,167.8,166.6,135.1,158.1,151.8,166.7,165.3,187.0,125.2,144.4,181.7,175.9,166.3,181.5,121.8,134.8,162.9) > par7 = 'Y' > par6 = 'Y' > par5 = '0' > par4 = '0' > par3 = '0' > par2 = '50' > par1 = '50' > ylab = 'y (investeringen)' > xlab = 'x (omzet)' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as(par1,'numeric') > par2 <- as(par2,'numeric') > par3 <- as(par3,'numeric') > par4 <- as(par4,'numeric') > par5 <- as(par5,'numeric') > library('GenKern') Loading required package: KernSmooth KernSmooth 2.23 loaded Copyright M. P. Wand 1997-2009 Loading GenKern version 1.1 Copyright Lucy and Aykroyd 2000 last update October 2004 requires KernSmooth Package GenKern installed > if (par3==0) par3 <- dpik(x) > if (par4==0) par4 <- dpik(y) > if (par5==0) par5 <- cor(x,y) > if (par1 > 500) par1 <- 500 > if (par2 > 500) par2 <- 500 > postscript(file="/var/www/html/rcomp/tmp/17xm01257449879.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) > image(op$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 -43.694 1.332 > 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/2ay4t1257449879.tab") > > system("convert tmp/17xm01257449879.ps tmp/17xm01257449879.png") > > > proc.time() user system elapsed 0.572 0.260 0.649