R version 2.6.0 (2007-10-03)
Copyright (C) 2007 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
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> z <- c(8.7,8.5,8.2,8.3,8,8.1,8.7,9.3,8.9,8.8,8.4,8.4,7.3,7.2,7,7,6.9,6.9,7.1,7.5,7.4,8.9,8.3,8.3,9,8.9,8.8,7.8,7.8,7.8,9.2,9.3,9.2,8.6,8.5,8.5,9,9,8.8,8,7.9,8.1,9.3,9.4,9.4,9.3,9,9.1,9.7,9.7,9.6,8.3,8.2,8.4,10.6,10.9,10.9,9.6,9.3,9.3,9.6,9.5,9.5,9,8.9,9,10.1,10.2,10.2,9.5,9.3,9.3,9.4,9.3,9.1,9,8.9,9,9.8,10,9.8,9.4,9,8.9,9.3,9.1,8.8,8.9,8.7,8.6,9.1,9.3,8.9)
> y <- c(6.4,6.3,6,5.3,5.2,5.1,5.4,5.8,5.6,5.6,5.4,5.4,5.5,5.5,5.3,5.7,5.6,5.5,5.6,5.9,6,7,6.6,6.6,6.3,6.3,6.3,6.3,6.2,6.2,6.3,6.4,6.4,7.8,7.7,7.7,7.7,7.7,7.6,7.5,7.4,7.4,7.5,7.6,7.6,8.1,7.8,8,7.9,7.9,7.8,6.7,6.6,6.6,7.7,7.9,8,7.7,7.5,7.6,7.8,7.8,7.7,7.4,7.5,7.2,7.5,7.6,7.6,7.8,7.7,7.7,8.2,8.2,8.1,7.8,7.8,7.7,6.7,6.7,6.7,7.2,6.9,6.8,7.2,7.1,6.9,6.9,6.7,6.5,6.6,6.6,6.5)
> x <- c(7.4,7.2,7,6.6,6.4,6.4,6.8,7.3,7,7,6.7,6.7,6.3,6.2,6,6.3,6.2,6.1,6.2,6.6,6.6,7.8,7.4,7.4,7.5,7.4,7.4,7,6.9,6.9,7.6,7.7,7.6,8.2,8,8.1,8.3,8.2,8.1,7.7,7.6,7.7,8.2,8.4,8.4,8.6,8.4,8.5,8.7,8.7,8.6,7.4,7.3,7.4,9,9.2,9.2,8.5,8.3,8.3,8.6,8.6,8.5,8.1,8.1,8,8.6,8.7,8.7,8.6,8.4,8.4,8.7,8.7,8.5,8.3,8.3,8.3,8.1,8.2,8.1,8.1,7.9,7.7,8.1,8,7.7,7.8,7.6,7.4,7.7,7.9,7.6)
> par7 = 'Vrouwen'
> par6 = 'Mannen'
> par5 = 'Totaal'
> 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: Wessa P., (2007), 3-Dimensional Scatterplots (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_cloud.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> 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/1y02y1194195143.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/2hh681194195143.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/3hw7y1194195143.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/4lyvc1194195143.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/5qh5v1194195143.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  
     -1.186        1.043  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6fy751194195143.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] 4.776562 4.853029 4.929496 5.005963 5.082429 5.158896 5.235363 5.311830
 [9] 5.388297 5.464764 5.541231 5.617697 5.694164 5.770631 5.847098 5.923565
[17] 6.000032 6.076499 6.152965 6.229432 6.305899 6.382366 6.458833 6.535300
[25] 6.611767 6.688233 6.764700 6.841167 6.917634 6.994101 7.070568 7.147035
[33] 7.223501 7.299968 7.376435 7.452902 7.529369 7.605836 7.682303 7.758769
[41] 7.835236 7.911703 7.988170 8.064637 8.141104 8.217571 8.294037 8.370504
[49] 8.446971 8.523438

$yords
 [1]  6.529021  6.625796  6.722570  6.819345  6.916120  7.012894  7.109669
 [8]  7.206444  7.303218  7.399993  7.496768  7.593542  7.690317  7.787092
[15]  7.883866  7.980641  8.077415  8.174190  8.270965  8.367739  8.464514
[22]  8.561289  8.658063  8.754838  8.851613  8.948387  9.045162  9.141937
[29]  9.238711  9.335486  9.432261  9.529035  9.625810  9.722585  9.819359
[36]  9.916134 10.012908 10.109683 10.206458 10.303232 10.400007 10.496782
[43] 10.593556 10.690331 10.787106 10.883880 10.980655 11.077430 11.174204
[50] 11.270979

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 5.523013e-01 5.982462e-01 5.077269e-01 3.364626e-01 1.745159e-01
 [2,] 1.117685e+00 1.379293e+00 1.353576e+00 1.045870e+00 6.345914e-01
 [3,] 1.939685e+00 2.655822e+00 2.967548e+00 2.651746e+00 1.876820e+00
 [4,] 3.010875e+00 4.400238e+00 5.448189e+00 5.540889e+00 4.535841e+00
 [5,] 4.355894e+00 6.538989e+00 8.630026e+00 9.717152e+00 9.050306e+00
 [6,] 5.957239e+00 9.059859e+00 1.227822e+01 1.472657e+01 1.517778e+01
 [7,] 7.532256e+00 1.183793e+01 1.626687e+01 2.004077e+01 2.200305e+01
 [8,] 8.472636e+00 1.425813e+01 2.026081e+01 2.532882e+01 2.859169e+01
 [9,] 8.206784e+00 1.525392e+01 2.320265e+01 2.999370e+01 3.438537e+01
[10,] 6.704565e+00 1.405065e+01 2.358713e+01 3.260423e+01 3.863661e+01
[11,] 4.564000e+00 1.092131e+01 2.066044e+01 3.148421e+01 3.985283e+01
[12,] 2.569506e+00 7.077634e+00 1.529018e+01 2.625020e+01 3.661382e+01
[13,] 1.190179e+00 3.795152e+00 9.446134e+00 1.853605e+01 2.915612e+01
[14,] 4.517277e-01 1.674831e+00 4.833807e+00 1.095120e+01 1.974317e+01
[15,] 1.400329e-01 6.058188e-01 2.037769e+00 5.370680e+00 1.122908e+01
[16,] 3.536271e-02 1.790479e-01 7.048647e-01 2.174456e+00 5.321080e+00
[17,] 7.260341e-03 4.313273e-02 1.994589e-01 7.240105e-01 2.089252e+00
[18,] 1.210134e-03 8.454882e-03 4.607758e-02 1.977159e-01 6.770997e-01
[19,] 1.636204e-04 1.347143e-03 8.678470e-03 4.420617e-02 1.806511e-01
[20,] 1.805381e-05 1.747780e-04 1.332820e-03 8.086461e-03 3.961244e-02
[21,] 1.948605e-06 1.978076e-05 1.710440e-04 1.219955e-03 7.150415e-03
[22,] 9.023922e-07 5.319781e-06 3.077533e-05 1.872543e-04 1.140767e-03
[23,] 1.406270e-06 7.898309e-06 3.482503e-05 1.257124e-04 4.142241e-04
[24,] 2.002032e-06 1.302658e-05 6.527048e-05 2.530111e-04 7.671217e-04
[25,] 2.304436e-06 1.753102e-05 1.025138e-04 4.618087e-04 1.608811e-03
[26,] 2.135103e-06 1.900689e-05 1.299454e-04 6.833677e-04 2.771607e-03
[27,] 1.592007e-06 1.659115e-05 1.327112e-04 8.157065e-04 3.859934e-03
[28,] 9.553021e-07 1.165887e-05 1.091676e-04 7.848917e-04 4.339097e-03
[29,] 4.613460e-07 6.595432e-06 7.232042e-05 6.086067e-04 3.934584e-03
[30,] 1.793243e-07 3.003673e-06 3.858236e-05 3.802180e-04 2.876683e-03
[31,] 5.610821e-08 1.101334e-06 1.657622e-05 1.913641e-04 1.695370e-03
[32,] 1.413340e-08 3.251548e-07 5.735624e-06 7.759186e-05 8.052969e-04
[33,] 2.866583e-09 7.730781e-08 1.598518e-06 2.534658e-05 3.082793e-04
[34,] 4.682197e-10 1.480413e-08 3.588810e-07 6.671238e-06 9.511192e-05
[35,] 6.159916e-11 2.283688e-09 6.491418e-08 1.414893e-06 2.365108e-05
[36,] 6.528501e-12 2.838278e-10 9.461232e-09 2.418372e-07 4.740529e-06
[37,] 5.574921e-13 2.842537e-11 1.111317e-09 3.331644e-08 7.659526e-07
[38,] 3.836374e-14 2.294334e-12 1.052134e-10 3.699836e-09 9.977379e-08
[39,] 2.127777e-15 1.492685e-13 8.029756e-12 3.312399e-10 1.047871e-08
[40,] 9.512931e-17 7.828801e-15 4.940610e-13 2.391004e-11 8.873760e-10
[41,] 3.428762e-18 3.310428e-16 2.451011e-14 1.391640e-12 6.059526e-11
[42,] 9.964118e-20 1.128684e-17 9.804530e-16 6.531395e-14 3.336682e-12
[43,] 2.334805e-21 3.103020e-19 3.162592e-17 2.471878e-15 1.481625e-13
[44,] 4.411571e-23 6.879151e-21 8.226231e-19 7.543788e-17 5.305173e-15
[45,] 6.721658e-25 1.229774e-22 1.725420e-20 1.856438e-18 1.531718e-16
[46,] 8.258383e-27 1.772735e-24 2.918138e-22 3.683614e-20 3.565683e-18
[47,] 8.181512e-29 2.060479e-26 3.979283e-24 5.892976e-22 6.691903e-20
[48,] 6.535278e-31 1.930919e-28 4.374730e-26 7.600036e-24 1.012389e-21
[49,] 4.208697e-33 1.458768e-30 3.876994e-28 7.900641e-26 1.234459e-23
[50,] 2.184905e-35 8.883387e-33 2.769331e-30 6.619250e-28 1.213020e-25
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 7.322146e-02 3.709814e-02 7.052088e-02 2.291987e-01 6.392060e-01
 [2,] 3.040614e-01 1.238201e-01 8.520809e-02 2.142708e-01 6.564530e-01
 [3,] 1.050137e+00 4.698552e-01 1.960876e-01 1.986474e-01 5.656784e-01
 [4,] 2.960292e+00 1.538177e+00 6.510421e-01 3.010269e-01 4.416302e-01
 [5,] 6.830342e+00 4.135112e+00 2.006298e+00 8.167793e-01 4.574831e-01
 [6,] 1.302679e+01 9.112472e+00 5.136704e+00 2.334912e+00 9.370457e-01
 [7,] 2.089312e+01 1.660884e+01 1.080090e+01 5.673811e+00 2.422901e+00
 [8,] 2.894474e+01 2.545762e+01 1.879478e+01 1.136364e+01 5.557874e+00
 [9,] 3.585694e+01 3.368023e+01 2.752099e+01 1.886741e+01 1.058792e+01
[10,] 4.098904e+01 3.979809e+01 3.483237e+01 2.644928e+01 1.680376e+01
[11,] 4.373519e+01 4.338830e+01 3.950413e+01 3.227593e+01 2.273183e+01
[12,] 4.294679e+01 4.427404e+01 4.158836e+01 3.572979e+01 2.725221e+01
[13,] 3.775760e+01 4.182996e+01 4.133631e+01 3.731062e+01 3.042661e+01
[14,] 2.894978e+01 3.566243e+01 3.840101e+01 3.731607e+01 3.286697e+01
[15,] 1.898993e+01 2.672761e+01 3.245980e+01 3.516039e+01 3.438817e+01
[16,] 1.052153e+01 1.725916e+01 2.427202e+01 3.019487e+01 3.373134e+01
[17,] 4.881680e+00 9.467972e+00 1.570085e+01 2.289190e+01 2.978295e+01
[18,] 1.885236e+00 4.368134e+00 8.643998e+00 1.495604e+01 2.292104e+01
[19,] 6.033257e-01 1.682213e+00 4.002238e+00 8.278399e+00 1.504483e+01
[20,] 1.594822e-01 5.376845e-01 1.544764e+00 3.836279e+00 8.303106e+00
[21,] 3.476480e-02 1.420486e-01 4.938777e-01 1.476215e+00 3.817229e+00
[22,] 6.376346e-03 3.111009e-02 1.304135e-01 4.693161e-01 1.453294e+00
[23,] 1.497644e-03 6.462833e-03 2.942725e-02 1.239748e-01 4.575074e-01
[24,] 1.876661e-03 4.074732e-03 9.844488e-03 3.215436e-02 1.237341e-01
[25,] 4.363525e-03 9.337411e-03 1.629678e-02 2.575651e-02 4.847453e-02
[26,] 8.706709e-03 2.133020e-02 4.119565e-02 6.389037e-02 8.308020e-02
[27,] 1.410590e-02 4.001018e-02 8.876404e-02 1.557636e-01 2.195673e-01
[28,] 1.848619e-02 6.091951e-02 1.561915e-01 3.143041e-01 5.024533e-01
[29,] 1.957299e-02 7.512407e-02 2.234313e-01 5.184110e-01 9.476473e-01
[30,] 1.672922e-02 7.492479e-02 2.592469e-01 6.965113e-01 1.464250e+00
[31,] 1.153618e-02 6.037463e-02 2.435743e-01 7.603231e-01 1.847083e+00
[32,] 6.415937e-03 3.927868e-02 1.850771e-01 6.729870e-01 1.896655e+00
[33,] 2.877252e-03 2.062169e-02 1.136277e-01 4.822644e-01 1.581549e+00
[34,] 1.040324e-03 8.734208e-03 5.633162e-02 2.794736e-01 1.068954e+00
[35,] 3.032613e-04 2.983832e-03 2.254088e-02 1.308636e-01 5.847974e-01
[36,] 7.127341e-05 8.221165e-04 7.278099e-03 4.948456e-02 2.586854e-01
[37,] 1.350570e-05 1.826759e-04 1.895897e-03 1.510493e-02 9.245526e-02
[38,] 2.063518e-06 3.273496e-05 3.983923e-04 3.720872e-03 2.668388e-02
[39,] 2.542277e-07 4.730701e-06 6.752627e-05 7.395379e-04 6.216585e-03
[40,] 2.525690e-08 5.513443e-07 9.231551e-06 1.185769e-04 1.168724e-03
[41,] 2.023443e-09 5.182039e-08 1.017870e-06 1.533590e-05 1.772668e-04
[42,] 1.307252e-10 3.927805e-09 9.051078e-08 1.599698e-06 2.168775e-05
[43,] 6.810486e-12 2.400777e-10 6.490317e-09 1.345663e-07 2.139915e-06
[44,] 2.861075e-13 1.183257e-11 3.752758e-10 9.127480e-09 1.702552e-07
[45,] 9.691358e-15 4.702142e-13 1.749478e-11 4.991422e-10 1.092080e-08
[46,] 2.646698e-16 1.506447e-14 6.574827e-13 2.200355e-11 5.646554e-10
[47,] 5.826939e-18 3.890449e-16 1.991673e-14 7.817879e-13 2.352948e-11
[48,] 1.034035e-19 8.097868e-18 4.862302e-16 2.238413e-14 7.900632e-13
[49,] 1.478856e-21 1.358312e-19 9.565000e-18 5.163827e-16 2.137242e-14
[50,] 1.704271e-23 1.835736e-21 1.515894e-19 9.596273e-18 4.656977e-16
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 1.442934e+00 2.650995e+00 3.979473e+00 4.867974e+00 4.818168e+00
 [2,] 1.661855e+00 3.410523e+00 5.718586e+00 7.861333e+00 8.832226e+00
 [3,] 1.598300e+00 3.682514e+00 6.908727e+00 1.064663e+01 1.351222e+01
 [4,] 1.281259e+00 3.317825e+00 6.996064e+00 1.209635e+01 1.729689e+01
 [5,] 8.884286e-01 2.483661e+00 5.905246e+00 1.149604e+01 1.852115e+01
 [6,] 6.846111e-01 1.572179e+00 4.134396e+00 9.092003e+00 1.653947e+01
 [7,] 9.985764e-01 9.840598e-01 2.424453e+00 5.958250e+00 1.226170e+01
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[23,] 5.288486e-07 2.460899e-08 8.775607e-10 2.397689e-11 5.018695e-13
[24,] 3.972688e-06 2.164302e-07 9.037322e-09 2.891534e-10 7.087860e-12
[25,] 2.409054e-05 1.535836e-06 7.506503e-08 2.811626e-09 8.068809e-11
[26,] 1.175422e-04 8.766506e-06 5.014216e-07 2.198331e-08 7.385242e-10
[27,] 4.611688e-04 4.022390e-05 2.691897e-06 1.381230e-07 5.431565e-09
[28,] 1.455082e-03 1.483592e-04 1.161383e-05 6.973259e-07 3.209545e-08
[29,] 3.693671e-03 4.399724e-04 4.027340e-05 2.829049e-06 1.523856e-07
[30,] 7.551561e-03 1.049897e-03 1.123134e-04 9.227251e-06 5.815490e-07
[31,] 1.249041e-02 2.023174e-03 2.526426e-04 2.425771e-05 1.788040e-06
[32,] 1.715641e-02 3.218228e-03 4.672070e-04 5.228499e-05 4.499274e-06
[33,] 2.265431e-02 4.807018e-03 7.975047e-04 1.027686e-04 1.023851e-05
[34,] 4.482113e-02 1.039544e-02 1.912504e-03 2.769886e-04 3.136691e-05
[35,] 1.513459e-01 3.968470e-02 8.286380e-03 1.369134e-03 1.778522e-04
[36,] 5.479516e-01 1.679188e-01 4.096015e-02 7.902976e-03 1.198659e-03
[37,] 1.696313e+00 6.112256e-01 1.751330e-01 3.963838e-02 7.044048e-03
[38,] 4.304101e+00 1.822980e+00 6.133060e-01 1.627486e-01 3.386615e-02
[39,] 8.912236e+00 4.430771e+00 1.747770e+00 5.429970e-01 1.321284e-01
[40,] 1.508585e+01 8.788188e+00 4.057518e+00 1.473343e+00 4.185486e-01
[41,] 2.092933e+01 1.425914e+01 7.691145e+00 3.258050e+00 1.078614e+00
[42,] 2.385500e+01 1.897112e+01 1.193164e+01 5.885326e+00 2.266428e+00
[43,] 2.237651e+01 2.073593e+01 1.518032e+01 8.703430e+00 3.891849e+00
[44,] 1.728709e+01 1.864102e+01 1.586216e+01 1.055552e+01 5.472404e+00
[45,] 1.099534e+01 1.378439e+01 1.362101e+01 1.051002e+01 6.310363e+00
[46,] 5.749490e+00 8.377012e+00 9.608865e+00 8.593169e+00 5.971867e+00
[47,] 2.466060e+00 4.176427e+00 5.561705e+00 5.765388e+00 4.637641e+00
[48,] 8.652944e-01 1.704116e+00 2.636109e+00 3.169434e+00 2.952556e+00
[49,] 2.477565e-01 5.675626e-01 1.020689e+00 1.424665e+00 1.538472e+00
[50,] 5.785579e-02 1.538928e-01 3.220209e-01 5.223781e-01 6.547010e-01

> 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  
      4.552        0.623  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7r7ty1194195143.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] 5.574440 5.657116 5.739792 5.822468 5.905144 5.987820 6.070496 6.153172
 [9] 6.235848 6.318523 6.401199 6.483875 6.566551 6.649227 6.731903 6.814579
[17] 6.897255 6.979931 7.062607 7.145283 7.227958 7.310634 7.393310 7.475986
[25] 7.558662 7.641338 7.724014 7.806690 7.889366 7.972042 8.054717 8.137393
[33] 8.220069 8.302745 8.385421 8.468097 8.550773 8.633449 8.716125 8.798801
[41] 8.881477 8.964152 9.046828 9.129504 9.212180 9.294856 9.377532 9.460208
[49] 9.542884 9.625560

$yords
 [1]  6.529021  6.625796  6.722570  6.819345  6.916120  7.012894  7.109669
 [8]  7.206444  7.303218  7.399993  7.496768  7.593542  7.690317  7.787092
[15]  7.883866  7.980641  8.077415  8.174190  8.270965  8.367739  8.464514
[22]  8.561289  8.658063  8.754838  8.851613  8.948387  9.045162  9.141937
[29]  9.238711  9.335486  9.432261  9.529035  9.625810  9.722585  9.819359
[36]  9.916134 10.012908 10.109683 10.206458 10.303232 10.400007 10.496782
[43] 10.593556 10.690331 10.787106 10.883880 10.980655 11.077430 11.174204
[50] 11.270979

$zden
               [,1]          [,2]          [,3]          [,4]          [,5]
 [1,]  6.066249e+00  7.200998e+00  6.209328e+00  3.280542e+00  9.765780e-01
 [2,]  8.328053e+00  1.096656e+01  1.173062e+01  8.696512e+00  3.843922e+00
 [3,]  9.826176e+00  1.470444e+01  1.772347e+01  1.697298e+01  1.075318e+01
 [4,]  9.302474e+00  1.732851e+01  2.310572e+01  2.572761e+01  2.185913e+01
 [5,]  6.678643e+00  1.686429e+01  2.679619e+01  3.267321e+01  3.366835e+01
 [6,]  3.513153e+00  1.268631e+01  2.645588e+01  3.681138e+01  4.203057e+01
 [7,]  1.326922e+00  7.060380e+00  2.069521e+01  3.626225e+01  4.569038e+01
 [8,]  3.553641e-01  2.834157e+00  1.214157e+01  2.916340e+01  4.409889e+01
 [9,]  6.692853e-02  8.083992e-01  5.171458e+00  1.792763e+01  3.587537e+01
[10,]  8.817082e-03  1.623386e-01  1.569946e+00  8.078122e+00  2.287696e+01
[11,]  8.101510e-04  2.282481e-02  3.361066e-01  2.606478e+00  1.084595e+01
[12,]  5.203573e-05  2.244264e-03  5.048599e-02  5.948433e-01  3.709820e+00
[13,]  2.394566e-06  1.563624e-04  5.347585e-03  9.579397e-02  9.030791e-01
[14,]  8.966093e-08  8.366763e-06  4.191147e-04  1.117158e-02  1.578185e-01
[15,]  3.897554e-09  4.598747e-07  3.008870e-05  1.089076e-03  2.163034e-02
[16,]  2.270878e-10  3.486091e-08  2.866843e-06  1.282875e-04  3.172779e-03
[17,]  1.232356e-11  2.770106e-09  3.241298e-07  1.986349e-05  6.436356e-04
[18,]  4.954389e-13  1.700629e-10  3.017499e-08  2.772014e-06  1.321895e-04
[19,]  1.395565e-14  7.377487e-12  2.013295e-09  2.838043e-07  2.068506e-05
[20,]  2.726053e-16  2.222747e-13  9.353477e-11  2.032199e-08  2.280974e-06
[21,]  3.686017e-18  4.636902e-15  3.010214e-12  1.008844e-09  1.746265e-07
[22,]  3.448912e-20  6.694064e-17  6.704793e-14  3.466703e-11  9.256883e-09
[23,]  2.232976e-22  6.687043e-19  1.033393e-15  8.243669e-13  3.396002e-10
[24,]  1.000367e-24  4.622249e-21  1.102108e-17  1.356470e-14  8.621307e-12
[25,]  3.101034e-27  2.210779e-23  8.133125e-20  1.544467e-16  1.514488e-13
[26,]  6.651588e-30  7.316604e-26  4.153019e-22  1.216810e-18  1.840939e-15
[27,]  9.872243e-33  1.675505e-28  1.467381e-24  6.633472e-21  1.548427e-17
[28,]  1.013859e-35  2.654932e-31  3.587518e-27  2.502258e-23  9.011920e-20
[29,]  7.204611e-39  2.910934e-34  6.068996e-30  6.531239e-26  3.629256e-22
[30,]  3.542545e-42  2.208428e-37  7.104143e-33  1.179591e-28  1.011326e-24
[31,]  1.205290e-45  1.159326e-40  5.754110e-36  1.474142e-31  1.950012e-27
[32,]  2.837521e-49  4.211138e-44  3.224900e-39  1.274733e-34  2.601691e-30
[33,]  4.622298e-53  1.058436e-47  1.250621e-42  7.627292e-38  2.401850e-33
[34,]  5.210124e-57  1.840777e-51  3.355881e-46  3.157861e-41  1.534291e-36
[35,]  4.063558e-61  2.215165e-55  6.230977e-50  9.046588e-45  6.781705e-40
[36,]  2.193003e-65  1.844529e-59  8.005341e-54  1.793290e-48  2.074168e-43
[37,]  8.189235e-70  1.062762e-63  7.116639e-58  2.459732e-52  4.389556e-47
[38,]  2.116015e-74  4.236995e-68  4.377654e-62  2.334513e-56  6.427895e-51
[39,]  3.783254e-79  1.168830e-72  1.863285e-66  1.533121e-60  6.513111e-55
[40,]  4.680407e-84  2.231084e-77  5.487679e-71  6.966714e-65  4.566460e-59
[41,]  4.006533e-89  2.946782e-82  1.118318e-75  2.190520e-69  2.215332e-63
[42,]  2.373197e-94  2.693143e-87  1.576963e-80  4.765906e-74  7.436636e-68
[43,] 9.726605e-100  1.703075e-92  1.538654e-85  7.174759e-79  1.727342e-72
[44,] 2.758475e-105  7.452264e-98  1.038819e-90  7.473923e-84  2.776255e-77
[45,] 5.413013e-111 2.256343e-103  4.852905e-96  5.387076e-89  3.087478e-82
[46,] 7.350041e-117 4.727184e-109 1.568714e-101  2.686814e-94  2.375899e-87
[47,] 6.905611e-123 6.852702e-115 3.508717e-107 9.272240e-100  1.265072e-92
[48,] 4.489371e-129 6.873727e-121 5.430300e-113 2.214129e-105  4.660942e-98
[49,] 2.019530e-135 4.770941e-127 5.815411e-119 3.658491e-111 1.188263e-103
[50,] 6.286026e-142 2.291273e-133 4.309218e-125 4.182759e-117 2.096109e-109
               [,6]         [,7]         [,8]         [,9]        [,10]
 [1,]  1.612439e-01 3.184867e-02 8.391494e-02 2.171663e-01 3.262368e-01
 [2,]  9.509677e-01 1.389220e-01 8.230306e-02 2.783963e-01 5.993321e-01
 [3,]  3.976598e+00 8.215628e-01 1.370785e-01 2.611915e-01 7.990421e-01
 [4,]  1.177729e+01 3.642647e+00 6.423114e-01 2.261741e-01 7.713974e-01
 [5,]  2.511723e+01 1.145686e+01 2.963698e+00 5.003464e-01 5.650343e-01
 [6,]  3.983255e+01 2.581144e+01 9.923237e+00 2.164673e+00 5.247276e-01
 [7,]  4.963829e+01 4.270444e+01 2.378765e+01 7.685753e+00 1.493987e+00
 [8,]  5.225412e+01 5.418341e+01 4.160923e+01 1.975573e+01 5.399461e+00
 [9,]  4.869189e+01 5.613817e+01 5.494138e+01 3.705211e+01 1.495488e+01
[10,]  3.924764e+01 5.034102e+01 5.753528e+01 5.206509e+01 3.051467e+01
[11,]  2.554960e+01 3.938280e+01 5.039314e+01 5.685069e+01 4.661963e+01
[12,]  1.262005e+01 2.557919e+01 3.789005e+01 5.015293e+01 5.463278e+01
[13,]  4.554713e+00 1.294361e+01 2.393387e+01 3.667601e+01 5.026147e+01
[14,]  1.187447e+00 4.892713e+00 1.210173e+01 2.221299e+01 3.685793e+01
[15,]  2.340708e-01 1.389072e+00 4.751052e+00 1.093903e+01 2.165655e+01
[16,]  4.388312e-02 3.426081e-01 1.548358e+00 4.463178e+00 1.032526e+01
[17,]  1.118497e-02 1.063920e-01 5.720321e-01 1.867687e+00 4.498544e+00
[18,]  3.286945e-03 4.295258e-02 2.993559e-01 1.150271e+00 2.694056e+00
[19,]  7.807297e-04 1.530238e-02 1.565827e-01 8.459624e-01 2.484392e+00
[20,]  1.323766e-04 3.978026e-03 6.206584e-02 5.054636e-01 2.173628e+00
[21,]  1.562185e-05 7.229673e-04 1.733844e-02 2.161851e-01 1.410701e+00
[22,]  1.277204e-06 9.112353e-05 3.365901e-03 6.450987e-02 6.442674e-01
[23,]  7.227897e-08 7.952819e-06 4.527847e-04 1.335965e-02 2.048731e-01
[24,]  2.830741e-09 4.804226e-07 4.217527e-05 1.917327e-03 4.522770e-02
[25,]  7.671771e-11 2.008524e-08 2.719400e-06 1.905736e-04 6.922492e-03
[26,]  1.438747e-12 5.811007e-10 1.213586e-07 1.311437e-05 7.340732e-04
[27,]  1.867061e-14 1.163398e-11 3.748085e-09 6.246847e-07 5.390599e-05
[28,]  1.676536e-16 1.611747e-13 8.010588e-11 2.059424e-08 2.740496e-06
[29,]  1.041703e-18 1.545073e-15 1.184730e-12 4.698572e-10 9.643515e-08
[30,]  4.478685e-21 1.024899e-17 1.212451e-14 7.418200e-12 2.348573e-09
[31,]  1.332388e-23 4.704246e-20 8.586024e-17 8.104547e-14 3.958244e-11
[32,]  2.742737e-26 1.494080e-22 4.207258e-19 6.126991e-16 4.616468e-13
[33,]  3.906700e-29 3.283456e-25 1.426536e-21 3.205147e-18 3.725738e-15
[34,]  3.850417e-32 4.992997e-28 3.346882e-24 1.160184e-20 2.080661e-17
[35,]  2.625883e-35 5.253662e-31 5.433380e-27 2.905898e-23 8.040268e-20
[36,]  1.239130e-38 3.825048e-34 6.103437e-30 5.036279e-26 2.149903e-22
[37,]  4.046040e-42 1.927008e-37 4.744071e-33 6.039662e-29 3.977800e-25
[38,]  9.141449e-46 6.717414e-41 2.551526e-36 5.011738e-32 5.092618e-28
[39,]  1.429129e-49 1.620289e-44 9.495566e-40 2.877640e-35 4.511414e-31
[40,]  1.545964e-53 2.704297e-48 2.445195e-43 1.143290e-38 2.765394e-34
[41,]  1.157166e-57 3.123091e-52 4.356872e-47 3.143010e-42 1.172926e-37
[42,]  5.993358e-62 2.495704e-56 5.371728e-51 5.978783e-46 3.442409e-41
[43,]  2.147876e-66 1.379959e-60 4.582668e-55 7.869468e-50 6.990691e-45
[44,]  5.326318e-71 5.279809e-65 2.705212e-59 7.167311e-54 9.823266e-49
[45,]  9.139215e-76 1.397766e-69 1.104966e-63 4.516812e-58 9.551182e-53
[46,]  1.085101e-80 2.560530e-74 3.123023e-68 1.969639e-62 6.425942e-57
[47,]  8.914453e-86 3.245554e-79 6.107532e-73 5.942998e-67 2.991447e-61
[48,]  5.067463e-91 2.846553e-84 8.264709e-78 1.240783e-71 9.636012e-66
[49,]  1.993272e-96 1.727546e-89 7.738721e-83 1.792528e-76 2.147794e-70
[50,] 5.425069e-102 7.254424e-95 5.013881e-88 1.791841e-81 3.312469e-75
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 2.885082e-01 1.498960e-01 4.532273e-02 8.464839e-03 1.342312e-03
 [2,] 7.544518e-01 5.630439e-01 2.474404e-01 6.470166e-02 1.187664e-02
 [3,] 1.434311e+00 1.524358e+00 9.661618e-01 3.634512e-01 8.634114e-02
 [4,] 1.983147e+00 2.993322e+00 2.708564e+00 1.470511e+00 4.850584e-01
 [5,] 1.988968e+00 4.277161e+00 5.486876e+00 4.267115e+00 2.010770e+00
 [6,] 1.459885e+00 4.446304e+00 8.076122e+00 8.912185e+00 6.020455e+00
 [7,] 9.193337e-01 3.374192e+00 8.662348e+00 1.347920e+01 1.295649e+01
 [8,] 1.177031e+00 1.988205e+00 6.803384e+00 1.484713e+01 2.010984e+01
 [9,] 3.621551e+00 1.422998e+00 4.082578e+00 1.200755e+01 2.266409e+01
[10,] 1.061566e+01 2.702149e+00 2.437127e+00 7.430553e+00 1.876440e+01
[11,] 2.378694e+01 7.566636e+00 2.823929e+00 4.367091e+00 1.194050e+01
[12,] 4.017783e+01 1.826809e+01 6.188142e+00 4.068353e+00 7.193370e+00
[13,] 5.157684e+01 3.415605e+01 1.470425e+01 6.588999e+00 6.404545e+00
[14,] 5.077427e+01 4.831452e+01 2.943252e+01 1.339555e+01 8.724256e+00
[15,] 3.853849e+01 5.141494e+01 4.523320e+01 2.652758e+01 1.444279e+01
[16,] 2.266594e+01 4.114601e+01 5.176360e+01 4.273035e+01 2.591223e+01
[17,] 1.073047e+01 2.492216e+01 4.382915e+01 5.167815e+01 4.159423e+01
[18,] 5.225198e+00 1.213599e+01 2.770990e+01 4.594708e+01 5.183004e+01
[19,] 4.393871e+00 6.745170e+00 1.415876e+01 3.030648e+01 4.769284e+01
[20,] 5.081151e+00 7.139868e+00 8.844872e+00 1.626831e+01 3.250023e+01
[21,] 4.885320e+00 9.276222e+00 1.070426e+01 1.107690e+01 1.812125e+01
[22,] 3.382188e+00 9.501483e+00 1.485218e+01 1.443226e+01 1.300942e+01
[23,] 1.642312e+00 6.962487e+00 1.598078e+01 2.084786e+01 1.753954e+01
[24,] 5.557183e-01 3.584408e+00 1.232891e+01 2.333472e+01 2.589307e+01
[25,] 1.306798e-01 1.288699e+00 6.709473e+00 1.884557e+01 2.982670e+01
[26,] 2.132231e-02 3.225102e-01 2.558205e+00 1.079949e+01 2.502205e+01
[27,] 2.411583e-03 5.606395e-02 6.804949e-01 4.355205e+00 1.501328e+01
[28,] 1.889449e-04 6.760487e-03 1.259287e-01 1.229185e+00 6.378063e+00
[29,] 1.025076e-05 5.649891e-04 1.618135e-02 2.418584e-01 1.904659e+00
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             [,41]         [,42]         [,43]         [,44]         [,45]
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              [,46]         [,47]         [,48]         [,49]         [,50]
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[33,]  3.515966e-10  1.566341e-12  3.703607e-15  4.565774e-18  2.912548e-21
[34,]  2.080016e-08  1.453602e-10  5.340273e-13  1.018682e-15  1.003802e-18
[35,]  8.598232e-07  9.372775e-09  5.337025e-11  1.573704e-13  2.394467e-16
[36,]  2.476477e-05  4.193707e-07  3.694882e-09  1.682963e-11  3.952919e-14
[37,]  4.960860e-04  1.301046e-05  1.771442e-07  1.245768e-09  4.516000e-12
[38,]  6.904789e-03  2.797451e-04  5.880264e-06  6.382265e-08  3.570260e-10
[39,]  6.675867e-02  4.168247e-03  1.351409e-04  2.262974e-06  1.953234e-08
[40,]  4.485707e-01  4.304572e-02  2.150383e-03  5.553356e-05  7.394639e-07
[41,]  2.097413e+00  3.082470e-01  2.369509e-02  9.432556e-04  1.937304e-05
[42,]  6.840590e+00  1.531964e+00  1.808661e-01  1.109055e-02  3.512492e-04
[43,]  1.562127e+01  5.292056e+00  9.568726e-01  9.028502e-02  4.407601e-03
[44,]  2.512271e+01  1.273630e+01  3.511850e+00  5.090497e-01  3.828342e-02
[45,]  2.869299e+01  2.143189e+01  8.953853e+00  1.988907e+00  2.302104e-01
[46,]  2.353950e+01  2.535030e+01  1.589323e+01  5.389331e+00  9.586871e-01
[47,]  1.407283e+01  2.123791e+01  1.970426e+01  1.014086e+01  2.766140e+00
[48,]  6.231512e+00  1.273301e+01  1.714553e+01  1.327655e+01  5.534013e+00
[49,]  2.075964e+00  5.534825e+00  1.054348e+01  1.212977e+01  7.685582e+00
[50,]  5.263339e-01  1.770467e+00  4.625296e+00  7.767563e+00  7.422586e+00

> 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  
     1.6058       0.9344  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1y02y1194195143.ps tmp/1y02y1194195143.png")
> system("convert tmp/2hh681194195143.ps tmp/2hh681194195143.png")
> system("convert tmp/3hw7y1194195143.ps tmp/3hw7y1194195143.png")
> system("convert tmp/4lyvc1194195143.ps tmp/4lyvc1194195143.png")
> system("convert tmp/5qh5v1194195143.ps tmp/5qh5v1194195143.png")
> system("convert tmp/6fy751194195143.ps tmp/6fy751194195143.png")
> system("convert tmp/7r7ty1194195143.ps tmp/7r7ty1194195143.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.384   1.357   2.767