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(2.86,2.55,2.27,2.26,2.57,3.07,2.76,2.51,2.87,3.14,3.11,3.16,2.47,2.57,2.89,2.63,2.38,1.69,1.96,2.19,1.87,1.60,1.63,1.22,1.21,1.49,1.64,1.66,1.77,1.82,1.78,1.28,1.29,1.37,1.12,1.51,2.24,2.94,3.09,3.46,3.64,4.39,4.15,5.21,5.80,5.91,5.39,5.46,4.72,3.14,2.63,2.32,1.93,0.62,0.60,-0.37,-1.10,-1.68,-0.78) > x <- c(0.5857,0.5858,0.5717,0.5945,0.5961,0.5973,0.6036,0.6096,0.6315,0.6262,0.6121,0.6326,0.6214,0.6274,0.6175,0.6208,0.6225,0.5889,0.6020,0.5932,0.5841,0.6000,0.5947,0.5891,0.6051,0.5960,0.6012,0.5957,0.5959,0.6049,0.6064,0.6137,0.6311,0.6258,0.6010,0.6232,0.6384,0.6014,0.5980,0.5987,0.6237,0.5813,0.5991,0.6160,0.6096,0.6051,0.5857,0.5565,0.5223,0.5091,0.4919,0.4995,0.5069,0.5190,0.5460,0.5648,0.5751,0.5862,0.5877) > par7 = 'Y' > par6 = 'Y' > par5 = '0' > par4 = '0' > par3 = '0' > par2 = '50' > par1 = '50' > ylab = 'y' > xlab = 'x' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as(par1,'numeric') > par2 <- as(par2,'numeric') > par3 <- as(par3,'numeric') > par4 <- as(par4,'numeric') > par5 <- as(par5,'numeric') > library('GenKern') Loading required package: KernSmooth KernSmooth 2.23 loaded Copyright M. P. Wand 1997-2009 Loading GenKern version 1.1 Copyright Lucy and Aykroyd 2000 last update October 2004 requires KernSmooth Package GenKern installed > if (par3==0) par3 <- dpik(x) > if (par4==0) par4 <- dpik(y) > if (par5==0) par5 <- cor(x,y) > if (par1 > 500) par1 <- 500 > if (par2 > 500) par2 <- 500 > postscript(file="/var/www/html/rcomp/tmp/13fzx1256495451.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) > image(op$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 0.5901 3.0077 > 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/2m6601256495451.tab") > > system("convert tmp/13fzx1256495451.ps tmp/13fzx1256495451.png") > > > proc.time() user system elapsed 0.589 0.268 0.745