R version 2.8.1 (2008-12-22) 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(2849.27,2921.44,2981.85,3080.58,3106.22,3119.31,3061.26,3097.31,3161.69,3257.16,3277.01,3295.32,3363.99,3494.17,3667.03,3813.06,3917.96,3895.51,3801.06,3570.12,3701.61,3862.27,3970.1,4138.52,4199.75,4290.89,4443.91,4502.64,4356.98,4591.27,4696.96,4621.4,4562.84,4202.52,4296.49,4435.23,4105.18,4116.68,3844.49,3720.98,3674.4,3857.62,3801.06,3504.37,3032.6,3047.03,2962.34,2197.82,2014.45,1862.83,1905.41,1810.99,1670.07,1864.44,2052.02,2029.6,2070.83,2293.41,2443.27) > x <- c(4.1209,8.1796,6.5025,5.1529,5.1076,6.6049,9.4249,7.6176,6.3001,8.2369,9.8596,9.6721,9.9856,6.1009,6.6049,8.3521,6.9169,5.6644,2.8561,3.8416,4.7961,3.4969,2.56,2.6569,1.4884,1.4641,2.2201,2.6896,2.7556,3.1329,3.3124,3.1684,1.6384,1.6641,1.8769,1.2544,2.2801,5.0176,8.6436,9.5481,11.9716,13.2496,19.2721,17.2225,27.1441,33.64,34.9281,29.0521,29.8116,22.2784,9.8596,6.9169,5.3824,3.7249,0.3844,0.36,0.1369,1.21,2.8224) > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as(par1,'numeric') > par2 <- as(par2,'numeric') > par3 <- as(par3,'numeric') > par4 <- as(par4,'numeric') > par5 <- as(par5,'numeric') > library('GenKern') Loading required package: KernSmooth KernSmooth 2.22 installed Copyright M. P. Wand 1997 > if (par3==0) par3 <- dpik(x) > if (par4==0) par4 <- dpik(y) > if (par5==0) par5 <- cor(x,y) > if (par1 > 500) par1 <- 500 > if (par2 > 500) par2 <- 500 > postscript(file="/var/www/rcomp/tmp/1ctyy1256673620.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) > image(op$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 3636.4 -31.9 > abline(r) > box() > dev.off() null device 1 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/2sjts1256673620.tab") > > system("convert tmp/1ctyy1256673620.ps tmp/1ctyy1256673620.png") > > > proc.time() user system elapsed 0.550 0.410 0.906