R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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Type 'license()' or 'licence()' for distribution details.

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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
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> z <- c(98.6,98,106.8,96.6,100.1,107.7,91.5,97.8,107.4,117.5,105.6,97.4,99.5,98,104.3,100.6,101.1,103.9,96.9,95.5,108.4,117,103.8,100.8,110.6,104,112.6,107.3,98.9,109.8,104.9,102.2,123.9,124.9,112.7,121.9,100.6,104.3,120.4,107.5,102.9,125.6,107.5,108.8,128.4,121.1,119.5,128.7,108.7,105.5,119.8,111.3,110.6,120.1,97.5,107.7,127.3,117.2,119.8,116.2,111,112.4,130.6,109.1,118.8,123.9,101.6,112.8,128,129.6,125.8,119.5,115.7,113.6,129.7,112,116.8,127,112.1,114.2,121.1,131.6,125,120.4,117.7,117.5,120.6,127.5,112.3,124.5,115.2,105.4)
> y <- c(119.5,125,145,105.3,116.9,120.1,88.9,78.4,114.6,113.3,117,99.6,99.4,101.9,115.2,108.5,113.8,121,92.2,90.2,101.5,126.6,93.9,89.8,93.4,101.5,110.4,105.9,108.4,113.9,86.1,69.4,101.2,100.5,98,106.6,90.1,96.9,125.9,112,100,123.9,79.8,83.4,113.6,112.9,104,109.9,99,106.3,128.9,111.1,102.9,130,87,87.5,117.6,103.4,110.8,112.6,102.5,112.4,135.6,105.1,127.7,137,91,90.5,122.4,123.3,124.3,120,118.1,119,142.7,123.6,129.6,151.6,110.4,99.2,130.5,136.2,129.7,128,121.6,135.8,143.8,147.5,136.2,156.6,123.3,100.4)
> x <- c(103.1,100.6,103.1,95.5,90.5,90.9,88.8,90.7,94.3,104.6,111.1,110.8,107.2,99,99,91,96.2,96.9,96.2,100.1,99,115.4,106.9,107.1,99.3,99.2,108.3,105.6,99.5,107.4,93.1,88.1,110.7,113.1,99.6,93.6,98.6,99.6,114.3,107.8,101.2,112.5,100.5,93.9,116.2,112,106.4,95.7,96,95.8,103,102.2,98.4,111.4,86.6,91.3,107.9,101.8,104.4,93.4,100.1,98.5,112.9,101.4,107.1,110.8,90.3,95.5,111.4,113,107.5,95.9,106.3,105.2,117.2,106.9,108.2,113,97.2,99.9,108.1,118.1,109.1,93.3,112.1,111.8,112.5,116.3,110.3,117.1,103.4,96.2)
> par7 = 'Variable Z'
> par6 = 'Variable Y'
> par5 = 'Variable X'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> #'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!)
> x <- array(x,dim=c(length(x),1))
> colnames(x) <- par5
> y <- array(y,dim=c(length(y),1))
> colnames(y) <- par6
> z <- array(z,dim=c(length(z),1))
> colnames(z) <- par7
> d <- data.frame(cbind(z,y,x))
> colnames(d) <- list(par7,par6,par5)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1>500) par1 <- 500
> if (par2>500) par2 <- 500
> if (par1<10) par1 <- 10
> if (par2<10) par2 <- 10
> 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

> library(lattice)
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1moei1226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2q6xx1226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/332pi1226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4xl9n1226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/www/html/rcomp/tmp/5h2101226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,y)',xlab=par5,ylab=par6)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(x,y)
> (r<-lm(y ~ x))

Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
    -33.192        1.412  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6p7px1226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z))
> op
$xords
 [1]  56.72627  59.02316  61.32004  63.61693  65.91382  68.21070  70.50759
 [8]  72.80448  75.10136  77.39825  79.69514  81.99203  84.28891  86.58580
[15]  88.88269  91.17957  93.47646  95.77335  98.07023 100.36712 102.66401
[22] 104.96090 107.25778 109.55467 111.85156 114.14844 116.44533 118.74222
[29] 121.03910 123.33599 125.63288 127.92977 130.22665 132.52354 134.82043
[36] 137.11731 139.41420 141.71109 144.00797 146.30486 148.60175 150.89864
[43] 153.19552 155.49241 157.78930 160.08618 162.38307 164.67996 166.97684
[50] 169.27373

$yords
 [1]  84.59603  85.69619  86.79636  87.89652  88.99668  90.09684  91.19700
 [8]  92.29717  93.39733  94.49749  95.59765  96.69781  97.79798  98.89814
[15]  99.99830 101.09846 102.19862 103.29879 104.39895 105.49911 106.59927
[22] 107.69943 108.79960 109.89976 110.99992 112.10008 113.20024 114.30040
[29] 115.40057 116.50073 117.60089 118.70105 119.80121 120.90138 122.00154
[36] 123.10170 124.20186 125.30202 126.40219 127.50235 128.60251 129.70267
[43] 130.80283 131.90300 133.00316 134.10332 135.20348 136.30364 137.40381
[50] 138.50397

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 1.642320e-04 2.495976e-04 3.623853e-04 5.064793e-04 6.924529e-04
 [2,] 2.540427e-04 3.865117e-04 5.644559e-04 7.877782e-04 1.057346e-03
 [3,] 3.885517e-04 5.812039e-04 8.481417e-04 1.189668e-03 1.595773e-03
 [4,] 6.014648e-04 8.668379e-04 1.242898e-03 1.739552e-03 2.343190e-03
 [5,] 9.477728e-04 1.305601e-03 1.809695e-03 2.489896e-03 3.343872e-03
 [6,] 1.493016e-03 1.985951e-03 2.650462e-03 3.541275e-03 4.683181e-03
 [7,] 2.280740e-03 2.991410e-03 3.886327e-03 5.038217e-03 6.505767e-03
 [8,] 3.285122e-03 4.340035e-03 5.592421e-03 7.111708e-03 8.979356e-03
 [9,] 4.375334e-03 5.919702e-03 7.706598e-03 9.771790e-03 1.218806e-02
[10,] 5.326845e-03 7.466801e-03 9.965103e-03 1.279973e-02 1.599216e-02
[11,] 5.894998e-03 8.628476e-03 1.192963e-02 1.572124e-02 1.994186e-02
[12,] 5.921653e-03 9.099374e-03 1.312963e-02 1.792149e-02 2.333630e-02
[13,] 5.411185e-03 8.761585e-03 1.326185e-02 1.887804e-02 2.544944e-02
[14,] 4.524682e-03 7.738174e-03 1.232933e-02 1.839023e-02 2.582589e-02
[15,] 3.497545e-03 6.324748e-03 1.062823e-02 1.666043e-02 2.447372e-02
[16,] 2.537694e-03 4.849078e-03 8.595610e-03 1.417652e-02 2.183125e-02
[17,] 1.764499e-03 3.550495e-03 6.624495e-03 1.148313e-02 1.854001e-02
[18,] 1.207135e-03 2.537567e-03 4.954761e-03 8.991441e-03 1.518449e-02
[19,] 8.387721e-04 1.815691e-03 3.669745e-03 6.916061e-03 1.214900e-02
[20,] 6.124987e-04 1.337911e-03 2.752388e-03 5.316421e-03 9.619381e-03
[21,] 4.816578e-04 1.041852e-03 2.140364e-03 4.164658e-03 7.650897e-03
[22,] 4.065649e-04 8.656745e-04 1.754729e-03 3.387277e-03 6.218921e-03
[23,] 3.561748e-04 7.538775e-04 1.511437e-03 2.881186e-03 5.234066e-03
[24,] 3.095554e-04 6.625488e-04 1.332013e-03 2.528347e-03 4.552860e-03
[25,] 2.569379e-04 5.649542e-04 1.157653e-03 2.221076e-03 4.010786e-03
[26,] 1.985075e-04 4.536095e-04 9.601581e-04 1.889488e-03 3.472168e-03
[27,] 1.405075e-04 3.362764e-04 7.423151e-04 1.515405e-03 2.870565e-03
[28,] 9.023861e-05 2.273688e-04 5.268303e-04 1.124689e-03 2.217508e-03
[29,] 5.226665e-05 1.391389e-04 3.399175e-04 7.631007e-04 1.576957e-03
[30,] 2.719673e-05 7.668843e-05 1.981616e-04 4.696791e-04 1.022364e-03
[31,] 1.268300e-05 3.795413e-05 1.039798e-04 2.609717e-04 6.005846e-04
[32,] 5.294016e-06 1.683955e-05 4.900756e-05 1.305600e-04 3.186071e-04
[33,] 1.977470e-06 6.695736e-06 2.073701e-05 5.876766e-05 1.524756e-04
[34,] 6.616307e-07 2.388543e-06 7.887133e-06 2.383109e-05 6.591875e-05
[35,] 1.987847e-07 7.666166e-07 2.705223e-06 8.738514e-06 2.585161e-05
[36,] 5.387407e-08 2.225290e-07 8.416988e-07 2.916740e-06 9.264823e-06
[37,] 1.326555e-08 5.889266e-08 2.397005e-07 8.949192e-07 3.066534e-06
[38,] 2.998048e-09 1.436798e-08 6.321925e-08 2.555219e-07 9.491703e-07
[39,] 6.297457e-10 3.273139e-09 1.564018e-08 6.873064e-08 2.778440e-07
[40,] 1.244893e-10 7.043465e-10 3.666315e-09 1.755803e-08 7.735440e-08
[41,] 2.335593e-11 1.440437e-10 8.170854e-10 4.261716e-09 2.043032e-08
[42,] 4.161888e-12 2.793440e-11 1.722557e-10 9.753840e-10 5.068932e-09
[43,] 6.992654e-13 5.088660e-12 3.396914e-11 2.079019e-10 1.166023e-09
[44,] 1.094310e-13 8.595306e-13 6.183901e-12 4.073380e-11 2.455652e-10
[45,] 1.574465e-14 1.329402e-13 1.026954e-12 7.255701e-12 4.687279e-11
[46,] 2.059818e-15 1.863843e-14 1.541698e-13 1.165487e-12 8.051087e-12
[47,] 2.430451e-16 2.351748e-15 2.079052e-14 1.679007e-13 1.238519e-12
[48,] 2.572178e-17 2.657783e-16 2.508171e-15 2.161614e-14 1.701191e-13
[49,] 2.432890e-18 2.682087e-17 2.699904e-16 2.481579e-15 2.082549e-14
[50,] 2.052035e-19 2.412301e-18 2.589084e-17 2.536982e-16 2.269527e-15
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 9.431803e-04 1.293399e-03 1.777119e-03 2.402812e-03 3.126740e-03
 [2,] 1.385595e-03 1.806072e-03 2.370858e-03 3.127131e-03 4.076226e-03
 [3,] 2.057429e-03 2.586041e-03 3.228586e-03 4.060316e-03 5.144262e-03
 [4,] 3.020985e-03 3.743456e-03 4.517909e-03 5.410251e-03 6.528141e-03
 [5,] 4.326589e-03 5.363847e-03 6.394129e-03 7.421613e-03 8.543346e-03
 [6,] 6.041788e-03 7.515669e-03 8.968722e-03 1.030113e-02 1.152550e-02
 [7,] 8.288604e-03 1.029136e-02 1.232793e-02 1.418562e-02 1.573418e-02
 [8,] 1.123862e-02 1.383357e-02 1.657401e-02 1.916583e-02 2.132080e-02
 [9,] 1.502663e-02 1.828552e-02 2.181689e-02 2.530514e-02 2.833981e-02
[10,] 1.959867e-02 2.365205e-02 2.806986e-02 3.257867e-02 3.672022e-02
[11,] 2.457637e-02 2.963762e-02 3.508888e-02 4.073646e-02 4.616080e-02
[12,] 2.924764e-02 3.557698e-02 4.226766e-02 4.919075e-02 5.602646e-02
[13,] 3.274690e-02 4.055050e-02 4.869582e-02 5.704429e-02 6.537340e-02
[14,] 3.437212e-02 4.367628e-02 5.340249e-02 6.329643e-02 7.315292e-02
[15,] 3.387171e-02 4.444506e-02 5.568915e-02 6.715054e-02 7.851449e-02
[16,] 3.152464e-02 4.290476e-02 5.537527e-02 6.827081e-02 8.105580e-02
[17,] 2.796926e-02 3.958173e-02 5.281002e-02 6.684513e-02 8.089005e-02
[18,] 2.391108e-02 3.520684e-02 4.865268e-02 6.341867e-02 7.849468e-02
[19,] 1.990153e-02 3.044271e-02 4.358594e-02 5.861762e-02 7.443559e-02
[20,] 1.628100e-02 2.576568e-02 3.815191e-02 5.295825e-02 6.915064e-02
[21,] 1.323192e-02 2.149556e-02 3.276110e-02 4.684386e-02 6.293361e-02
[22,] 1.083303e-02 1.785323e-02 2.776414e-02 4.066988e-02 5.608554e-02
[23,] 9.066163e-03 1.495743e-02 2.345366e-02 3.486731e-02 4.904713e-02
[24,] 7.807516e-03 1.277993e-02 1.997958e-02 2.980511e-02 4.235206e-02
[25,] 6.853301e-03 1.113564e-02 1.727247e-02 2.563404e-02 3.642322e-02
[26,] 5.988750e-03 9.749730e-03 1.506748e-02 2.221824e-02 3.138369e-02
[27,] 5.066394e-03 8.373077e-03 1.303230e-02 1.922252e-02 2.703540e-02
[28,] 4.050467e-03 6.880853e-03 1.092381e-02 1.630124e-02 2.301784e-02
[29,] 3.006419e-03 5.302897e-03 8.685841e-03 1.327346e-02 1.903564e-02
[30,] 2.046995e-03 3.777659e-03 6.442967e-03 1.019129e-02 1.501895e-02
[31,] 1.268759e-03 2.463990e-03 4.407354e-03 7.279232e-03 1.113815e-02
[32,] 7.127797e-04 1.463402e-03 2.760996e-03 4.795433e-03 7.685446e-03
[33,] 3.624172e-04 7.897802e-04 1.579509e-03 2.902707e-03 4.909738e-03
[34,] 1.670141e-04 3.878468e-04 8.261725e-04 1.615832e-03 2.904989e-03
[35,] 7.007886e-05 1.741806e-04 3.972136e-04 8.317550e-04 1.600647e-03
[36,] 2.699107e-05 7.216172e-05 1.771615e-04 3.996563e-04 8.289784e-04
[37,] 9.649457e-06 2.789869e-05 7.414989e-05 1.812499e-04 4.076157e-04
[38,] 3.241773e-06 1.018344e-05 2.942988e-05 7.825722e-05 1.914751e-04
[39,] 1.033366e-06 3.536047e-06 1.113139e-05 3.222955e-05 8.580153e-05
[40,] 3.134477e-07 1.167830e-06 3.999044e-06 1.258034e-05 3.633859e-05
[41,] 8.997824e-08 3.638743e-07 1.350478e-06 4.597413e-06 1.434835e-05
[42,] 2.416362e-08 1.056048e-07 4.229268e-07 1.551319e-06 5.209592e-06
[43,] 5.989950e-09 2.817197e-08 1.212603e-07 4.774994e-07 1.719662e-06
[44,] 1.354380e-09 6.831854e-09 3.150945e-08 1.328437e-07 5.118552e-07
[45,] 2.767999e-10 1.493904e-09 7.367361e-09 3.319441e-08 1.366227e-07
[46,] 5.081228e-11 2.929482e-10 1.542666e-09 7.419394e-09 3.258695e-08
[47,] 8.343921e-12 5.133553e-11 2.884143e-10 1.479583e-09 6.930479e-09
[48,] 1.222511e-12 8.021475e-12 4.805524e-11 2.628423e-10 1.312516e-09
[49,] 1.595623e-13 1.116144e-12 7.127792e-12 4.155510e-11 2.211670e-10
[50,] 1.853478e-14 1.381865e-13 9.405136e-13 5.843578e-12 3.314380e-11
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 3.842388e-03 4.400645e-03 4.659036e-03 4.538499e-03 4.057604e-03
 [2,] 5.135291e-03 6.130075e-03 6.836518e-03 7.060680e-03 6.718955e-03
 [3,] 6.468413e-03 7.895215e-03 9.164221e-03 9.965198e-03 1.005593e-02
 [4,] 7.955284e-03 9.661039e-03 1.143941e-02 1.293005e-02 1.373261e-02
 [5,] 9.914499e-03 1.164739e-02 1.368899e-02 1.575367e-02 1.737258e-02
 [6,] 1.279311e-02 1.432838e-02 1.628152e-02 1.857206e-02 2.082343e-02
 [7,] 1.702298e-02 1.829278e-02 1.986208e-02 2.192354e-02 2.435679e-02
 [8,] 2.290769e-02 2.405946e-02 2.514901e-02 2.660828e-02 2.866328e-02
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[20,] 1.243469e-03 5.498373e-04 2.227961e-04 8.269507e-05 2.810689e-05
[21,] 2.343809e-03 1.104044e-03 4.768816e-04 1.887779e-04 6.845774e-05
[22,] 4.034186e-03 2.021225e-03 9.294697e-04 3.919916e-04 1.515243e-04
[23,] 6.367140e-03 3.384817e-03 1.653758e-03 7.417772e-04 3.051966e-04
[24,] 9.263460e-03 5.206172e-03 2.694391e-03 1.282108e-03 5.602780e-04
[25,] 1.251050e-02 7.395250e-03 4.036790e-03 2.030491e-03 9.395950e-04
[26,] 1.583022e-02 9.775903e-03 5.595648e-03 2.960506e-03 1.444617e-03
[27,] 1.898926e-02 1.215076e-02 7.239153e-03 4.002448e-03 2.047963e-03
[28,] 2.188112e-02 1.438163e-02 8.842750e-03 5.068714e-03 2.700187e-03
[29,] 2.452180e-02 1.643060e-02 1.033965e-02 6.092102e-03 3.350764e-03
[30,] 2.697122e-02 1.833488e-02 1.173296e-02 7.051678e-03 3.971160e-03
[31,] 2.925911e-02 2.014757e-02 1.306681e-02 7.969673e-03 4.564493e-03
[32,] 3.137600e-02 2.190212e-02 1.439020e-02 8.888921e-03 5.157885e-03
[33,] 3.329687e-02 2.361326e-02 1.574196e-02 9.854022e-03 5.788544e-03
[34,] 3.495481e-02 2.526337e-02 1.714046e-02 1.090045e-02 6.493318e-03
[35,] 3.615853e-02 2.673719e-02 1.854034e-02 1.202893e-02 7.294032e-03
[36,] 3.656608e-02 2.776183e-02 1.976786e-02 1.315467e-02 8.165030e-03
[37,] 3.581825e-02 2.796130e-02 2.051468e-02 1.407202e-02 8.995136e-03
[38,] 3.377304e-02 2.704725e-02 2.045282e-02 1.449919e-02 9.588137e-03
[39,] 3.064996e-02 2.501654e-02 1.942055e-02 1.421029e-02 9.733399e-03
[40,] 2.695424e-02 2.219103e-02 1.753845e-02 1.317058e-02 9.316271e-03
[41,] 2.324080e-02 1.906523e-02 1.516032e-02 1.156883e-02 8.388990e-03
[42,] 1.989203e-02 1.608257e-02 1.270069e-02 9.722591e-03 7.146845e-03
[43,] 1.703248e-02 1.348885e-02 1.046669e-02 7.931943e-03 5.830773e-03
[44,] 1.458262e-02 1.131913e-02 8.587919e-03 6.379113e-03 4.628508e-03
[45,] 1.238077e-02 9.477522e-03 7.046589e-03 5.113186e-03 3.629769e-03
[46,] 1.029780e-02 7.839853e-03 5.754692e-03 4.094697e-03 2.838996e-03
[47,] 8.296399e-03 6.327170e-03 4.625810e-03 3.254623e-03 2.215437e-03
[48,] 6.422761e-03 4.928517e-03 3.614219e-03 2.537095e-03 1.710910e-03
[49,] 4.755928e-03 3.679281e-03 2.717192e-03 1.915804e-03 1.291332e-03
[50,] 3.357509e-03 2.622037e-03 1.953434e-03 1.388297e-03 9.411636e-04

> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (y,z)',xlab=par6,ylab=par7)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(y,z)
> (r<-lm(z ~ y))

Call:
lm(formula = z ~ y)

Coefficients:
(Intercept)            y  
     72.562        0.354  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/71kdk1226507358.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z))
> op
$xords
 [1]  81.64869  82.49364  83.33859  84.18355  85.02850  85.87345  86.71840
 [8]  87.56335  88.40830  89.25325  90.09821  90.94316  91.78811  92.63306
[15]  93.47801  94.32296  95.16791  96.01286  96.85782  97.70277  98.54772
[22]  99.39267 100.23762 101.08257 101.92752 102.77248 103.61743 104.46238
[29] 105.30733 106.15228 106.99723 107.84218 108.68714 109.53209 110.37704
[36] 111.22199 112.06694 112.91189 113.75684 114.60179 115.44675 116.29170
[43] 117.13665 117.98160 118.82655 119.67150 120.51645 121.36141 122.20636
[50] 123.05131

$yords
 [1]  84.59603  85.69619  86.79636  87.89652  88.99668  90.09684  91.19700
 [8]  92.29717  93.39733  94.49749  95.59765  96.69781  97.79798  98.89814
[15]  99.99830 101.09846 102.19862 103.29879 104.39895 105.49911 106.59927
[22] 107.69943 108.79960 109.89976 110.99992 112.10008 113.20024 114.30040
[29] 115.40057 116.50073 117.60089 118.70105 119.80121 120.90138 122.00154
[36] 123.10170 124.20186 125.30202 126.40219 127.50235 128.60251 129.70267
[43] 130.80283 131.90300 133.00316 134.10332 135.20348 136.30364 137.40381
[50] 138.50397

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 4.371498e-03 5.335174e-03 6.560127e-03 8.212948e-03 1.035894e-02
 [2,] 6.364394e-03 7.792454e-03 9.412798e-03 1.147412e-02 1.420701e-02
 [3,] 8.602377e-03 1.078075e-02 1.304773e-02 1.564718e-02 1.895135e-02
 [4,] 1.065839e-02 1.387632e-02 1.714916e-02 2.058745e-02 2.458723e-02
 [5,] 1.202682e-02 1.642198e-02 2.102461e-02 2.571030e-02 3.072596e-02
 [6,] 1.234754e-02 1.777801e-02 2.380012e-02 3.005103e-02 3.649148e-02
 [7,] 1.158919e-02 1.763293e-02 2.480940e-02 3.262992e-02 4.075192e-02
 [8,] 1.006501e-02 1.616995e-02 2.394510e-02 3.294844e-02 4.264889e-02
 [9,] 8.269473e-03 1.396800e-02 2.172274e-02 3.128084e-02 4.209908e-02
[10,] 6.650182e-03 1.170749e-02 1.900398e-02 2.853382e-02 3.988600e-02
[11,] 5.457469e-03 9.882504e-03 1.657700e-02 2.576658e-02 3.724145e-02
[12,] 4.730160e-03 8.681384e-03 1.486933e-02 2.371003e-02 3.521051e-02
[13,] 4.371286e-03 8.043264e-03 1.392101e-02 2.257654e-02 3.423644e-02
[14,] 4.231713e-03 7.782708e-03 1.353240e-02 2.218025e-02 3.417186e-02
[15,] 4.159033e-03 7.681846e-03 1.341967e-02 2.216610e-02 3.456410e-02
[16,] 4.021653e-03 7.532260e-03 1.329223e-02 2.215660e-02 3.491669e-02
[17,] 3.731509e-03 7.164877e-03 1.288512e-02 2.179397e-02 3.477982e-02
[18,] 3.266851e-03 6.491827e-03 1.200933e-02 2.077519e-02 3.375420e-02
[19,] 2.676763e-03 5.539627e-03 1.062183e-02 1.894251e-02 3.155557e-02
[20,] 2.056014e-03 4.438804e-03 8.858064e-03 1.637881e-02 2.815651e-02
[21,] 1.502142e-03 3.365432e-03 6.981994e-03 1.340931e-02 2.387860e-02
[22,] 1.080023e-03 2.468997e-03 5.275336e-03 1.047865e-02 1.931511e-02
[23,] 8.104496e-04 1.828405e-03 3.935394e-03 7.976385e-03 1.510585e-02
[24,] 6.795015e-04 1.450784e-03 3.035887e-03 6.119914e-03 1.170988e-02
[25,] 6.538065e-04 1.295562e-03 2.549703e-03 4.944799e-03 9.310625e-03
[26,] 6.907081e-04 1.297560e-03 2.391912e-03 4.364951e-03 7.866078e-03
[27,] 7.437381e-04 1.378568e-03 2.447232e-03 4.231281e-03 7.210009e-03
[28,] 7.697296e-04 1.455809e-03 2.581043e-03 4.354868e-03 7.110252e-03
[29,] 7.397525e-04 1.458169e-03 2.656251e-03 4.517998e-03 7.276138e-03
[30,] 6.483144e-04 1.347836e-03 2.568011e-03 4.511853e-03 7.378390e-03
[31,] 5.133201e-04 1.132829e-03 2.280487e-03 4.202439e-03 7.128698e-03
[32,] 3.654305e-04 8.590075e-04 1.837283e-03 3.582468e-03 6.388376e-03
[33,] 2.333158e-04 5.852574e-04 1.333961e-03 2.765610e-03 5.224570e-03
[34,] 1.334229e-04 3.574937e-04 8.697216e-04 1.922272e-03 3.863565e-03
[35,] 6.829007e-05 1.955501e-04 5.082298e-04 1.199221e-03 2.570409e-03
[36,] 3.127245e-05 9.572975e-05 2.659137e-04 6.703734e-04 1.534261e-03
[37,] 1.281019e-05 4.192672e-05 1.245044e-04 3.354880e-04 8.204197e-04
[38,] 4.693440e-06 1.642526e-05 5.215123e-05 1.502346e-04 3.927046e-04
[39,] 1.537954e-06 5.755318e-06 1.953942e-05 6.018421e-05 1.681909e-04
[40,] 4.507107e-07 1.803596e-06 6.547704e-06 2.156521e-05 6.443837e-05
[41,] 1.181266e-07 5.054872e-07 1.962350e-06 6.911150e-06 2.208197e-05
[42,] 2.768778e-08 1.266995e-07 5.259726e-07 1.980864e-06 6.767883e-06
[43,] 5.803870e-09 2.840078e-08 1.260791e-07 5.077579e-07 1.855126e-06
[44,] 1.088015e-09 5.693433e-09 2.702793e-08 1.163996e-07 4.547689e-07
[45,] 1.824060e-10 1.020718e-09 5.181690e-09 2.386361e-08 9.970121e-08
[46,] 2.734823e-11 1.636529e-10 8.884164e-10 4.375304e-09 1.954784e-08
[47,] 3.666964e-12 2.346544e-11 1.362226e-10 7.174115e-10 3.427566e-09
[48,] 4.397132e-13 3.008980e-12 1.867960e-11 1.051997e-10 5.374763e-10
[49,] 4.715409e-14 3.450620e-13 2.290726e-12 1.379582e-11 7.537377e-11
[50,] 4.522260e-15 3.538842e-14 2.512263e-13 1.617958e-12 9.452956e-12
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.285573e-02 1.533107e-02 1.727942e-02 1.824134e-02 1.797546e-02
 [2,] 1.763741e-02 2.145266e-02 2.502068e-02 2.758185e-02 2.852684e-02
 [3,] 2.323326e-02 2.840246e-02 3.386939e-02 3.865351e-02 4.171064e-02
 [4,] 2.964659e-02 3.601597e-02 4.337010e-02 5.072215e-02 5.667934e-02
 [5,] 3.664833e-02 4.405781e-02 5.306207e-02 6.295137e-02 7.223645e-02
 [6,] 4.356079e-02 5.200475e-02 6.237937e-02 7.448016e-02 8.706192e-02
 [7,] 4.930220e-02 5.894211e-02 7.051392e-02 8.438160e-02 9.984051e-02
 [8,] 5.281720e-02 6.381713e-02 7.651196e-02 9.170523e-02 1.093709e-01
 [9,] 5.368453e-02 6.601607e-02 7.972983e-02 9.581435e-02 1.148636e-01
[10,] 5.245585e-02 6.587452e-02 8.040015e-02 9.692897e-02 1.164603e-01
[11,] 5.041430e-02 6.466246e-02 7.981253e-02 9.643553e-02 1.156370e-01
[12,] 4.888383e-02 6.394978e-02 7.980704e-02 9.652674e-02 1.149926e-01
[13,] 4.857860e-02 6.476637e-02 8.182018e-02 9.920129e-02 1.172582e-01
[14,] 4.941473e-02 6.714503e-02 8.612854e-02 1.052129e-01 1.239802e-01
[15,] 5.079273e-02 7.030071e-02 9.180259e-02 1.136813e-01 1.346973e-01
[16,] 5.200819e-02 7.318002e-02 9.731290e-02 1.226014e-01 1.471579e-01
[17,] 5.246947e-02 7.490284e-02 1.012562e-01 1.298204e-01 1.583956e-01
[18,] 5.169922e-02 7.486246e-02 1.027104e-01 1.337894e-01 1.659161e-01
[19,] 4.932249e-02 7.263919e-02 1.011772e-01 1.337336e-01 1.683114e-01
[20,] 4.518759e-02 6.800992e-02 9.644095e-02 1.294442e-01 1.651997e-01
[21,] 3.954127e-02 6.112584e-02 8.862121e-02 1.211187e-01 1.568969e-01
[22,] 3.305880e-02 5.266091e-02 7.835903e-02 1.094315e-01 1.442409e-01
[23,] 2.663536e-02 4.370419e-02 6.684620e-02 9.563302e-02 1.286007e-01
[24,] 2.105639e-02 3.539452e-02 5.552446e-02 8.137599e-02 1.117873e-01
[25,] 1.676397e-02 2.853343e-02 4.559857e-02 6.823232e-02 9.565708e-02
[26,] 1.383862e-02 2.342676e-02 3.769545e-02 5.719732e-02 8.155294e-02
[27,] 1.213139e-02 1.999688e-02 3.187635e-02 4.853320e-02 6.997003e-02
[28,] 1.138801e-02 1.798943e-02 2.790134e-02 4.201914e-02 6.070431e-02
[29,] 1.127754e-02 1.707397e-02 2.545767e-02 3.732776e-02 5.333403e-02
[30,] 1.137779e-02 1.680924e-02 2.416886e-02 3.417719e-02 4.759614e-02
[31,] 1.122694e-02 1.661692e-02 2.347616e-02 3.218231e-02 4.334521e-02
[32,] 1.047155e-02 1.590296e-02 2.263676e-02 3.066585e-02 4.021656e-02
[33,] 9.019403e-03 1.429597e-02 2.095950e-02 2.874102e-02 3.742462e-02
[34,] 7.072908e-03 1.182514e-02 1.813535e-02 2.569388e-02 3.399506e-02
[35,] 5.009027e-03 8.887940e-03 1.439590e-02 2.137439e-02 2.929195e-02
[36,] 3.189330e-03 6.026657e-03 1.036680e-02 1.627255e-02 2.340400e-02
[37,] 1.821286e-03 3.671995e-03 6.729014e-03 1.122335e-02 1.707846e-02
[38,] 9.315732e-04 2.006012e-03 3.922902e-03 6.972304e-03 1.127802e-02
[39,] 4.264884e-04 9.814285e-04 2.050050e-03 3.888803e-03 6.704289e-03
[40,] 1.746956e-04 4.297347e-04 9.593140e-04 1.943892e-03 3.577085e-03
[41,] 6.401044e-05 1.683482e-04 4.017403e-04 8.700099e-04 1.710242e-03
[42,] 2.097803e-05 5.899309e-05 1.505157e-04 3.484520e-04 7.320657e-04
[43,] 6.148896e-06 1.848988e-05 5.044237e-05 1.248541e-04 2.804103e-04
[44,] 1.611883e-06 5.183022e-06 1.511979e-05 4.001608e-05 9.608858e-05
[45,] 3.778906e-07 1.299376e-06 4.053317e-06 1.147099e-05 2.945228e-05
[46,] 7.922999e-08 2.913275e-07 9.717992e-07 2.940895e-06 8.074179e-06
[47,] 1.485604e-08 5.841441e-08 2.083714e-07 6.743110e-07 1.979662e-06
[48,] 2.491170e-09 1.047483e-08 3.995673e-08 1.382722e-07 4.340948e-07
[49,] 3.735870e-10 1.679817e-09 6.852223e-09 2.535721e-08 8.512822e-08
[50,] 5.010335e-11 2.409154e-10 1.050899e-09 4.158694e-09 1.492979e-08
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 1.653637e-02 1.422989e-02 1.148573e-02 8.719569e-03 6.240206e-03
 [2,] 2.761803e-02 2.504854e-02 2.133239e-02 1.710697e-02 1.294993e-02
 [3,] 4.231783e-02 4.031936e-02 3.612853e-02 3.052546e-02 2.438410e-02
 [4,] 5.993422e-02 5.973835e-02 5.612386e-02 4.980237e-02 4.185345e-02
 [5,] 7.910604e-02 8.208096e-02 8.052335e-02 7.476553e-02 6.586643e-02
 [6,] 9.808217e-02 1.053883e-01 1.074902e-01 1.040183e-01 9.568926e-02
 [7,] 1.150038e-01 1.273143e-01 1.344419e-01 1.350844e-01 1.292738e-01
 [8,] 1.281503e-01 1.454992e-01 1.584848e-01 1.648179e-01 1.635631e-01
 [9,] 1.362885e-01 1.580119e-01 1.769294e-01 1.899444e-01 1.950164e-01
[10,] 1.392226e-01 1.639739e-01 1.879753e-01 2.077525e-01 2.202653e-01
[11,] 1.383132e-01 1.642375e-01 1.915425e-01 2.169918e-01 2.369645e-01
[12,] 1.364543e-01 1.616299e-01 1.898416e-01 2.187289e-01 2.447752e-01
[13,] 1.371674e-01 1.602654e-01 1.870702e-01 2.165374e-01 2.460017e-01
[14,] 1.430825e-01 1.639573e-01 1.879818e-01 2.154927e-01 2.452020e-01
[15,] 1.546374e-01 1.744737e-01 1.958538e-01 2.201470e-01 2.475370e-01
[16,] 1.698090e-01 1.906414e-01 2.109324e-01 2.324528e-01 2.564958e-01
[17,] 1.850420e-01 2.088454e-01 2.302588e-01 2.507915e-01 2.722055e-01
[18,] 1.967548e-01 2.245979e-01 2.489630e-01 2.706599e-01 2.912862e-01
[19,] 2.025204e-01 2.342350e-01 2.622502e-01 2.865938e-01 3.083215e-01
[20,] 2.014203e-01 2.358823e-01 2.670101e-01 2.942614e-01 3.181134e-01
[21,] 1.937494e-01 2.294786e-01 2.624084e-01 2.917344e-01 3.175613e-01
[22,] 1.805881e-01 2.162574e-01 2.495484e-01 2.796005e-01 3.064010e-01
[23,] 1.635612e-01 1.982038e-01 2.307316e-01 2.602531e-01 2.867835e-01
[24,] 1.446864e-01 1.776733e-01 2.087633e-01 2.369337e-01 2.622148e-01
[25,] 1.260539e-01 1.570307e-01 1.863988e-01 2.128886e-01 2.364274e-01
[26,] 1.092946e-01 1.381636e-01 1.658275e-01 1.907082e-01 2.124856e-01
[27,] 9.512997e-02 1.220001e-01 1.481961e-01 1.718241e-01 1.921907e-01
[28,] 8.336928e-02 1.083692e-01 1.333898e-01 1.562576e-01 1.758052e-01
[29,] 7.340328e-02 9.641720e-02 1.203294e-01 1.428102e-01 1.621767e-01
[30,] 6.481249e-02 8.536719e-02 1.077577e-01 1.297742e-01 1.493305e-01
[31,] 5.758471e-02 7.507048e-02 9.507521e-02 1.159057e-01 1.354175e-01
[32,] 5.179273e-02 6.591769e-02 8.263780e-02 1.011056e-01 1.196232e-01
[33,] 4.710214e-02 5.822296e-02 7.129205e-02 8.633683e-02 1.025195e-01
[34,] 4.264672e-02 5.167319e-02 6.154755e-02 7.283064e-02 8.560333e-02
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[46,] 1.028878e-01 8.333944e-02 6.278759e-02 4.402126e-02 2.876460e-02
[47,] 8.551288e-02 7.261105e-02 5.719767e-02 4.176300e-02 2.827999e-02
[48,] 6.562962e-02 5.865628e-02 4.859907e-02 3.723866e-02 2.636698e-02
[49,] 4.615979e-02 4.349576e-02 3.803696e-02 3.074798e-02 2.292511e-02
[50,] 2.962154e-02 2.941848e-02 2.718762e-02 2.325255e-02 1.833784e-02

> image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,z)',xlab=par5,ylab=par7)
> if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par4=='Y') points(x,z)
> (r<-lm(z ~ x))

Call:
lm(formula = z ~ x)

Coefficients:
(Intercept)            x  
    27.5699       0.8226  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1moei1226507358.ps tmp/1moei1226507358.png")
> system("convert tmp/2q6xx1226507358.ps tmp/2q6xx1226507358.png")
> system("convert tmp/332pi1226507358.ps tmp/332pi1226507358.png")
> system("convert tmp/4xl9n1226507358.ps tmp/4xl9n1226507358.png")
> system("convert tmp/5h2101226507358.ps tmp/5h2101226507358.png")
> system("convert tmp/6p7px1226507358.ps tmp/6p7px1226507358.png")
> system("convert tmp/71kdk1226507358.ps tmp/71kdk1226507358.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.275   1.321   2.772