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(2.64,2.75,2.7,2.87,3.03,3.14,3.02,2.86,3.07,2.93,2.83,2.72,2.73,2.72,2.77,2.61,2.47,2.3,2.38,2.43,2.39,2.6,2.84,2.87,2.92,3.08,3.33,3.48,3.57,3.66,3.77,3.75,3.75,3.81,3.82,3.89,4.05,4.1,4.07,4.26,4.4,4.61,4.63,4.48,4.46,4.45,4.32,4.52,4.21,3.97,4.12,4.5,4.73,5.26,5.2,4.94,4.95,4.52,3.85,3.41,2.95,2.68,2.53,2.44,2.16,2.2,2.1,2.29,2.03,2.05,1.94) > x <- c(2.02,2.03,2.01,2.08,2.02,2.03,2.07,2.04,2.05,2.11,2.09,2.05,2.08,2.06,2.06,2.08,2.07,2.06,2.07,2.06,2.09,2.07,2.09,2.28,2.33,2.35,2.52,2.63,2.58,2.70,2.81,2.97,3.04,3.28,3.33,3.50,3.56,3.57,3.69,3.82,3.79,3.96,4.06,4.05,4.03,3.94,4.02,3.88,4.02,4.03,4.09,3.99,4.01,4.01,4.19,4.30,4.27,3.82,3.15,2.49,1.81,1.26,1.06,0.84,0.78,0.70,0.36,0.35,0.36,0.36,0.36) > par7 = 'Y' > par6 = 'Y' > par5 = '0' > par4 = '0' > par3 = '0' > par2 = '50' > par1 = '50' > ylab = 'Eobm' > xlab = 'Intb' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as(par1,'numeric') > par2 <- as(par2,'numeric') > par3 <- as(par3,'numeric') > par4 <- as(par4,'numeric') > par5 <- as(par5,'numeric') > library('GenKern') Loading required package: KernSmooth KernSmooth 2.23 loaded Copyright M. P. Wand 1997-2009 Loading GenKern version 1.1 Copyright Lucy and Aykroyd 2000 last update October 2004 requires KernSmooth Package GenKern installed > if (par3==0) par3 <- dpik(x) > if (par4==0) par4 <- dpik(y) > if (par5==0) par5 <- cor(x,y) > if (par1 > 500) par1 <- 500 > if (par2 > 500) par2 <- 500 > postscript(file="/var/www/html/rcomp/tmp/1evjw1260623333.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) > image(op$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 1.4473 0.7425 > 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/2lx511260623334.tab") > > system("convert tmp/1evjw1260623333.ps tmp/1evjw1260623333.png") > > > proc.time() user system elapsed 0.588 0.250 1.050