R version 2.8.1 (2008-12-22)
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(96.8,114.1,110.3,103.9,101.6,94.6,95.9,104.7,102.8,98.1,113.9,80.9,95.7,113.2,105.9,108.8,102.3,99,100.7,115.5,100.7,109.9,114.6,85.4,100.5,114.8,116.5,112.9,102,106,105.3,118.8,106.1,109.3,117.2,92.5,104.2,112.5,122.4,113.3,100,110.7,112.8,109.8,117.3,109.1,115.9,96,99.8,116.8,115.7,99.4,94.3,91,93.2,103.1,94.1,91.8,102.7,82.6)
> y <- c(8,8.1,7.7,7.5,7.6,7.8,7.8,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.2,7.9,7.3,6.9,6.6,6.7,6.9,7,7.1,7.2,7.1,6.9,7,6.8,6.4,6.7,6.6,6.4,6.3,6.2,6.5,6.8,6.8,6.4,6.1,5.8,6.1,7.2,7.3,6.9,6.1,5.8,6.2,7.1,7.7,7.9,7.7,7.4,7.5,8)
> x <- c(4,3.8,4.7,4.3,3.9,4,4.3,4.8,4.4,4.3,4.7,4.7,4.9,5,4.2,4.3,4.8,4.8,4.8,4.2,4.6,4.8,4.5,4.4,4.3,3.9,3.7,4,4.1,3.7,3.8,3.8,3.8,3.3,3.3,3.3,3.2,3.4,4.2,4.9,5.1,5.5,5.6,6.4,6.1,7.1,7.8,7.9,7.4,7.5,6.8,5.2,4.7,4.1,3.9,2.6,2.7,1.8,1,0.3)
> par7 = 'Industriele productie'
> par6 = 'Werkloosheid mannen'
> par5 = 'Inflatie'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> x <- array(x,dim=c(length(x),1))
> colnames(x) <- par5
> y <- array(y,dim=c(length(y),1))
> colnames(y) <- par6
> z <- array(z,dim=c(length(z),1))
> colnames(z) <- par7
> d <- data.frame(cbind(z,y,x))
> colnames(d) <- list(par7,par6,par5)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1>500) par1 <- 500
> if (par2>500) par2 <- 500
> if (par1<10) par1 <- 10
> if (par2<10) par2 <- 10
> library(GenKern)
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997
> library(lattice)
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/www/rcomp/tmp/1un371257271056.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2m7n21257271056.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3emxh1257271056.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4d4211257271056.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/www/rcomp/tmp/5t7061257271056.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$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  
     7.8992      -0.1633  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6xdsy1257271056.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] 5.330772 5.398903 5.467035 5.535167 5.603299 5.671431 5.739562 5.807694
 [9] 5.875826 5.943958 6.012089 6.080221 6.148353 6.216485 6.284616 6.352748
[17] 6.420880 6.489012 6.557144 6.625275 6.693407 6.761539 6.829671 6.897802
[25] 6.965934 7.034066 7.102198 7.170329 7.238461 7.306593 7.374725 7.442856
[33] 7.510988 7.579120 7.647252 7.715384 7.783515 7.851647 7.919779 7.987911
[41] 8.056042 8.124174 8.192306 8.260438 8.328569 8.396701 8.464833 8.532965
[49] 8.601097 8.669228

$yords
 [1]  75.02645  76.11313  77.19980  78.28648  79.37315  80.45983  81.54650
 [8]  82.63318  83.71985  84.80653  85.89321  86.97988  88.06656  89.15323
[15]  90.23991  91.32658  92.41326  93.49993  94.58661  95.67328  96.75996
[22]  97.84664  98.93331 100.01999 101.10666 102.19334 103.28001 104.36669
[29] 105.45336 106.54004 107.62672 108.71339 109.80007 110.88674 111.97342
[36] 113.06009 114.14677 115.23344 116.32012 117.40679 118.49347 119.58015
[43] 120.66682 121.75350 122.84017 123.92685 125.01352 126.10020 127.18687
[50] 128.27355

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 4.858500e-11 2.411463e-10 1.160728e-09 5.380554e-09 2.380251e-08
 [2,] 1.725900e-10 8.002349e-10 3.606039e-09 1.573761e-08 6.600546e-08
 [3,] 6.002904e-10 2.603812e-09 1.096263e-08 4.484246e-08 1.773674e-07
 [4,] 2.037794e-09 8.300799e-09 3.267223e-08 1.249228e-07 4.637494e-07
 [5,] 6.722844e-09 2.585761e-08 9.544817e-08 3.410515e-07 1.184328e-06
 [6,] 2.145443e-08 7.839172e-08 2.727454e-07 9.129396e-07 2.962508e-06
 [7,] 6.593806e-08 2.302323e-07 7.595490e-07 2.392449e-06 7.266561e-06
 [8,] 1.944251e-07 6.520927e-07 2.052161e-06 6.117972e-06 1.746140e-05
 [9,] 5.483119e-07 1.774013e-06 5.354605e-06 1.520075e-05 4.099212e-05
[10,] 1.475506e-06 4.620400e-06 1.343651e-05 3.652674e-05 9.363340e-05
[11,] 3.782267e-06 1.149145e-05 3.231247e-05 8.452132e-05 2.071498e-04
[12,] 9.224846e-06 2.724207e-05 7.426679e-05 1.876420e-04 4.419139e-04
[13,] 2.139248e-05 6.148010e-05 1.628152e-04 3.985096e-04 9.055570e-04
[14,] 4.715567e-05 1.319902e-04 3.400096e-04 8.079148e-04 1.776971e-03
[15,] 9.881434e-05 2.694923e-04 6.758564e-04 1.561328e-03 3.331554e-03
[16,] 1.969407e-04 5.233919e-04 1.278456e-03 2.874012e-03 5.958917e-03
[17,] 3.736746e-04 9.675334e-04 2.302025e-03 5.038190e-03 1.016031e-02
[18,] 6.759934e-04 1.704421e-03 3.949035e-03 8.414675e-03 1.651307e-02
[19,] 1.168465e-03 2.866465e-03 6.463409e-03 1.340415e-02 2.559720e-02
[20,] 1.935445e-03 4.614071e-03 1.011505e-02 2.040109e-02 3.789498e-02
[21,] 3.083669e-03 7.132787e-03 1.518135e-02 2.974424e-02 5.369447e-02
[22,] 4.747212e-03 1.063405e-02 2.193625e-02 4.168604e-02 7.303871e-02
[23,] 7.096717e-03 1.536397e-02 3.065647e-02 5.640023e-02 9.575381e-02
[24,] 1.035216e-02 2.161941e-02 4.164499e-02 7.402803e-02 1.215527e-01
[25,] 1.479264e-02 2.975990e-02 5.525261e-02 9.473107e-02 1.501606e-01
[26,] 2.074919e-02 4.019210e-02 7.186009e-02 1.186922e-01 1.813714e-01
[27,] 2.856261e-02 5.329875e-02 9.178003e-02 1.460062e-01 2.149540e-01
[28,] 3.849293e-02 6.929692e-02 1.150632e-01 1.764466e-01 2.503985e-01
[29,] 5.058563e-02 8.804321e-02 1.412476e-01 2.091759e-01 2.866057e-01
[30,] 6.452764e-02 1.088479e-01 1.691509e-01 2.425430e-01 3.217039e-01
[31,] 7.955182e-02 1.303908e-01 1.968348e-01 2.741278e-01 3.531761e-01
[32,] 9.445462e-02 1.508244e-01 2.218393e-01 3.011241e-01 3.783599e-01
[33,] 1.077645e-01 1.680921e-01 2.416791e-01 3.209958e-01 3.951837e-01
[34,] 1.180418e-01 1.803946e-01 2.544671e-01 3.321861e-01 4.028398e-01
[35,] 1.242264e-01 1.866533e-01 2.594321e-01 3.345790e-01 4.020634e-01
[36,] 1.259099e-01 1.867911e-01 2.571092e-01 3.294841e-01 3.948326e-01
[37,] 1.234236e-01 1.817038e-01 2.490977e-01 3.191121e-01 3.835733e-01
[38,] 1.176985e-01 1.729231e-01 2.374680e-01 3.057410e-01 3.701972e-01
[39,] 1.099486e-01 1.620974e-01 2.240575e-01 2.909258e-01 3.554034e-01
[40,] 1.013015e-01 1.505012e-01 2.099411e-01 2.750826e-01 3.385515e-01
[41,] 9.251604e-02 1.387575e-01 1.952793e-01 2.576056e-01 3.181532e-01
[42,] 8.388468e-02 1.268598e-01 1.795681e-01 2.374247e-01 2.927386e-01
[43,] 7.532873e-02 1.144419e-01 1.621376e-01 2.137265e-01 2.617029e-01
[44,] 6.661549e-02 1.011456e-01 1.426578e-01 1.865154e-01 2.257775e-01
[45,] 5.758664e-02 8.691848e-02 1.214370e-01 1.567954e-01 1.869634e-01
[46,] 4.830176e-02 7.212870e-02 9.941908e-02 1.263466e-01 1.480121e-01
[47,] 3.905539e-02 5.748216e-02 7.792532e-02 9.723649e-02 1.117036e-01
[48,] 3.028663e-02 4.381098e-02 5.828418e-02 7.128885e-02 8.020769e-02
[49,] 2.244025e-02 3.183960e-02 4.150406e-02 4.970289e-02 5.472309e-02
[50,] 1.584336e-02 2.201884e-02 2.809448e-02 3.291544e-02 3.544466e-02
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 9.962394e-08 3.918623e-07 1.442153e-06 4.953986e-06 1.586985e-05
 [2,] 2.636099e-07 9.942486e-07 3.519673e-06 1.164910e-05 3.597500e-05
 [3,] 6.727207e-07 2.424382e-06 8.237123e-06 2.623765e-05 7.808663e-05
 [4,] 1.661684e-06 5.696534e-06 1.851707e-05 5.665684e-05 1.623529e-04
 [5,] 3.989001e-06 1.294229e-05 4.008335e-05 1.174754e-04 3.236016e-04
 [6,] 9.343524e-06 2.854471e-05 8.382176e-05 2.344246e-04 6.192267e-04
 [7,] 2.142272e-05 6.136531e-05 1.699920e-04 4.516017e-04 1.140025e-03
 [8,] 4.815938e-05 1.290388e-04 3.357083e-04 8.430101e-04 2.025273e-03
 [9,] 1.061192e-04 2.659859e-04 6.479987e-04 1.531149e-03 3.484547e-03
[10,] 2.286791e-04 5.375966e-04 1.225709e-03 2.716416e-03 5.830153e-03
[11,] 4.801251e-04 1.063552e-03 2.273807e-03 4.721042e-03 9.524001e-03
[12,] 9.777703e-04 2.052586e-03 4.131873e-03 8.048138e-03 1.523855e-02
[13,] 1.922764e-03 3.847821e-03 7.332913e-03 1.344789e-02 2.392022e-02
[14,] 3.636528e-03 6.975112e-03 1.265812e-02 2.196840e-02 3.682544e-02
[15,] 6.593500e-03 1.217684e-02 2.115936e-02 3.495180e-02 5.548039e-02
[16,] 1.143347e-02 2.040379e-02 3.411032e-02 5.392627e-02 8.150901e-02
[17,] 1.893229e-02 3.273476e-02 5.284925e-02 8.035624e-02 1.162968e-01
[18,] 2.991367e-02 5.020573e-02 7.850190e-02 1.152553e-01 1.605180e-01
[19,] 4.510175e-02 7.356215e-02 1.116235e-01 1.587360e-01 2.136409e-01
[20,] 6.494325e-02 1.029927e-01 1.518594e-01 2.096430e-01 2.735952e-01
[21,] 8.945721e-02 1.379412e-01 1.977640e-01 2.654438e-01 3.367967e-01
[22,] 1.181824e-01 1.770970e-01 2.468998e-01 3.225031e-01 3.986310e-01
[23,] 1.502681e-01 2.186127e-01 2.962518e-01 3.767343e-01 4.543257e-01
[24,] 1.846922e-01 2.605029e-01 3.428534e-01 4.244502e-01 4.999579e-01
[25,] 2.205147e-01 3.010740e-01 3.844048e-01 4.631221e-01 5.332515e-01
[26,] 2.570303e-01 3.391949e-01 4.196383e-01 4.917655e-01 5.538840e-01
[27,] 2.937128e-01 3.742758e-01 4.482885e-01 5.108306e-01 5.632286e-01
[28,] 3.299509e-01 4.059735e-01 4.707202e-01 5.217008e-01 5.637048e-01
[29,] 3.647138e-01 4.338064e-01 4.874467e-01 5.260829e-01 5.580533e-01
[30,] 3.963753e-01 4.569391e-01 4.988234e-01 5.255860e-01 5.488253e-01
[31,] 4.228817e-01 4.743195e-01 5.050837e-01 5.216273e-01 5.381878e-01
[32,] 4.422860e-01 4.851411e-01 5.066502e-01 5.155725e-01 5.279284e-01
[33,] 4.534418e-01 4.893803e-01 5.044533e-01 5.088495e-01 5.194312e-01
[34,] 4.565117e-01 4.880566e-01 4.999462e-01 5.027941e-01 5.134576e-01
[35,] 4.529771e-01 4.829750e-01 4.946718e-01 4.981810e-01 5.097614e-01
[36,] 4.450610e-01 4.759796e-01 4.895179e-01 4.946429e-01 5.067628e-01
[37,] 4.347773e-01 4.680385e-01 4.840317e-01 4.903330e-01 5.015720e-01
[38,] 4.230343e-01 4.586193e-01 4.762025e-01 4.821309e-01 4.905298e-01
[39,] 4.092265e-01 4.457090e-01 4.629266e-01 4.664462e-01 4.701847e-01
[40,] 3.915249e-01 4.265340e-01 4.410414e-01 4.403730e-01 4.383848e-01
[41,] 3.677490e-01 3.986990e-01 4.085288e-01 4.027529e-01 3.950690e-01
[42,] 3.364346e-01 3.612622e-01 3.653949e-01 3.547204e-01 3.424451e-01
[43,] 2.976351e-01 3.153047e-01 3.138765e-01 2.995238e-01 2.844903e-01
[44,] 2.531404e-01 2.637851e-01 2.579210e-01 2.417124e-01 2.259748e-01
[45,] 2.060695e-01 2.107866e-01 2.021768e-01 1.860202e-01 1.713696e-01
[46,] 1.600530e-01 1.604847e-01 1.508935e-01 1.363417e-01 1.239906e-01
[47,] 1.183469e-01 1.162237e-01 1.070957e-01 9.510087e-02 8.558804e-02
[48,] 8.318555e-02 7.997375e-02 7.222963e-02 6.311331e-02 5.639806e-02
[49,] 5.552768e-02 5.225052e-02 4.627451e-02 3.985856e-02 3.552026e-02
[50,] 3.517760e-02 3.240027e-02 2.815934e-02 2.396947e-02 2.142325e-02
             [,11]        [,12]        [,13]        [,14]       [,15]
 [1,] 4.741232e-05 0.0001321716 0.0003440050 0.0008361934 0.001898002
 [2,] 1.035999e-04 0.0002782666 0.0006975166 0.0016325822 0.003568756
 [3,] 2.167869e-04 0.0005612207 0.0013552760 0.0030547558 0.006429735
 [4,] 4.344420e-04 0.0010842337 0.0025233009 0.0054785523 0.011104007
 [5,] 8.340740e-04 0.0020066086 0.0045017402 0.0094184568 0.018386336
 [6,] 1.535291e-03 0.0035588612 0.0076971703 0.0155230627 0.029197855
 [7,] 2.713225e-03 0.0060536280 0.0126188141 0.0245354889 0.044483272
 [8,] 4.613148e-03 0.0098896280 0.0198534411 0.0372142158 0.065054828
 [9,] 7.567927e-03 0.0155497090 0.0300221433 0.0542265178 0.091414737
[10,] 1.202254e-02 0.0235998575 0.0437342109 0.0760471555 0.123615428
[11,] 1.857109e-02 0.0347004699 0.0615627163 0.1029084191 0.161228031
[12,] 2.800739e-02 0.0496377809 0.0840629617 0.1348389635 0.203465445
[13,] 4.137683e-02 0.0693666999 0.1118312899 0.1717902015 0.249442769
[14,] 5.999502e-02 0.0950283817 0.1455624789 0.2137911514 0.298477589
[15,] 8.537736e-02 0.1278794515 0.1860280913 0.2610246044 0.350277704
[16,] 1.190209e-01 0.1690688507 0.2338974603 0.3137206381 0.404884012
[17,] 1.620144e-01 0.2192430670 0.2893791494 0.3718383849 0.462343777
[18,] 2.145286e-01 0.2780505101 0.3517655804 0.4346331446 0.522244166
[19,] 2.753340e-01 0.3437159431 0.4190682515 0.5003173138 0.583351208
[20,] 3.415587e-01 0.4129059038 0.4879662625 0.5660428893 0.643593555
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[15,] 2.2290917 2.3258398 2.3193035 2.20998520 2.0163265 1.76850035 1.49913229
[16,] 2.3519838 2.4193130 2.3848243 2.25383095 2.0466570 1.79213883 1.51949940
[17,] 2.4493076 2.4892473 2.4321628 2.28602571 2.0707243 1.81221375 1.53606384
[18,] 2.5306245 2.5479557 2.4746128 2.31890596 2.0984532 1.83567782 1.55316235
[19,] 2.6039130 2.6044208 2.5205571 2.35890282 2.1336984 1.86405831 1.57090211
[20,] 2.6722618 2.6612405 2.5709686 2.40476194 2.1731670 1.89291420 1.58490943
[21,] 2.7325586 2.7138758 2.6192983 2.44802292 2.2073188 1.91291484 1.58734640
[22,] 2.7765745 2.7523128 2.6536418 2.47552738 2.2229836 1.91231537 1.56903195
[23,] 2.7939553 2.7644637 2.6604258 2.47320136 2.2070009 1.88021290 1.52213501
[24,] 2.7759953 2.7401422 2.6284798 2.43004012 2.1498882 1.80968294 1.44264277
[25,] 2.7188882 2.6743672 2.5523125 2.34118688 2.0485103 1.69986916 1.33181260
[26,] 2.6254099 2.5690342 2.4336964 2.20926586 1.9069951 1.55640264 1.19614180
[27,] 2.5045443 2.4325303 2.2811836 2.04366403 1.7356995 1.39008672 1.04592140
[28,] 2.3692215 2.2775063 2.1078183 1.85810717 1.5486693 1.21437821 0.89294050
[29,] 2.2329132 2.1175819 1.9278718 1.66741447 1.3605156 1.04256627 0.74815060
[30,] 2.1061836 1.9640801 1.7537023 1.48452181 1.1837289 0.88553638 0.61998944
[31,] 1.9942951 1.8238405 1.5937220 1.31864689 1.0271490 0.75064438 0.51369048
[32,] 1.8966197 1.6987351 1.4519582 1.17492771 0.8957548 0.64170825 0.43146965
[33,] 1.8079710 1.5868553 1.3290398 1.05524691 0.7913980 0.55970505 0.37318844
[34,] 1.7212827 1.4847042 1.2238995 0.95953465 0.7138277 0.50360688 0.33704419
[35,] 1.6305700 1.3893797 1.1352829 0.88678972 0.6614080 0.47092679 0.32000600
[36,] 1.5330499 1.2998327 1.0623847 0.83536510 0.6312712 0.45785923 0.31797538
[37,] 1.4296826 1.2167691 1.0044476 0.80255127 0.6190543 0.45921081 0.32586124
[38,] 1.3240919 1.1414167 0.9597135 0.78391195 0.6186516 0.46847239 0.33782316
[39,] 1.2204916 1.0738961 0.9244522 0.77298405 0.6224324 0.47832254 0.34784018
[40,] 1.1216141 1.0120777 0.8927448 0.76178086 0.6221460 0.48161904 0.35056822
[41,] 1.0275478 0.9515392 0.8573248 0.74213560 0.6103705 0.47265734 0.34226150
[42,] 0.9359069 0.8866939 0.8112596 0.70749169 0.5820613 0.44829148 0.32144836
[43,] 0.8431429 0.8126155 0.7498444 0.65449775 0.5356463 0.40851442 0.28910967
[44,] 0.7463301 0.7267879 0.6719704 0.58380903 0.4732644 0.35627744 0.24828078
[45,] 0.6446298 0.6300754 0.5804497 0.49980371 0.4000584 0.29660534 0.20320398
[46,] 0.5398651 0.5265722 0.4812070 0.40933693 0.3227783 0.23530660 0.15830412
[47,] 0.4360726 0.4224621 0.3816791 0.31998985 0.2481691 0.17768637 0.11729045
[48,] 0.3383238 0.3243744 0.2890061 0.23839060 0.1816248 0.12761358 0.08260268
[49,] 0.2513357 0.2378332 0.2085859 0.16907100 0.1264309 0.08712069 0.05527225
[50,] 0.1783740 0.1662566 0.1433367 0.11406266 0.0836650 0.05651337 0.03512910
           [,43]      [,44]      [,45]       [,46]        [,47]        [,48]
 [1,] 0.05862881 0.04979382 0.03997934 0.030269094 0.0216812861 0.0148116553
 [2,] 0.09454797 0.07964145 0.06327718 0.047461546 0.0338083640 0.0231028340
 [3,] 0.14604493 0.12176197 0.09573477 0.071250177 0.0506131404 0.0347092013
 [4,] 0.21581671 0.17795259 0.13858485 0.102573140 0.0728863888 0.0503138002
 [5,] 0.30499406 0.24877494 0.19222221 0.141876468 0.1011611475 0.0704643912
 [6,] 0.41235672 0.33308323 0.25593050 0.188932950 0.1355562275 0.0954182849
 [7,] 0.53393624 0.42785399 0.32778671 0.242726185 0.1756127979 0.1249520437
 [8,] 0.66324178 0.52842413 0.40477650 0.301410482 0.2201424678 0.1581705919
 [9,] 0.79216518 0.62911650 0.48309231 0.362350877 0.2671302279 0.1933831610
[10,] 0.91238316 0.72410316 0.55854664 0.422259575 0.3137628915 0.2281329064
[11,] 1.01688711 0.80829031 0.62703362 0.477462961 0.3566578165 0.2594489675
[12,] 1.10121879 0.87802688 0.68499575 0.524325778 0.3923220353 0.2843225084
[13,] 1.16409317 0.93151502 0.72986196 0.559803027 0.4177777756 0.3003091540
[14,] 1.20728428 0.96887755 0.76039368 0.581997754 0.4311844132 0.3060755812
[15,] 1.23483835 0.99187560 0.77682485 0.590527983 0.4322325219 0.3016909882
[16,] 1.25180492 1.00329014 0.78067190 0.586517248 0.4221347307 0.2885409563
[17,] 1.26274472 1.00602954 0.77417139 0.572148336 0.4031877579 0.2688863258
[18,] 1.27032364 1.00213447 0.75947010 0.549914756 0.3780641603 0.2452344995
[19,] 1.27434670 0.99197713 0.73785880 0.521864585 0.3491129619 0.2197602233
[20,] 1.27157060 0.97399431 0.70939093 0.489155420 0.3179358205 0.1939717573
[21,] 1.25648593 0.94516837 0.67309712 0.452098483 0.2853640420 0.1686916586
[22,] 1.22296274 0.90218729 0.62774103 0.410634232 0.2517693175 0.1442793005
[23,] 1.16630584 0.84290157 0.57279823 0.364978681 0.2174998983 0.1209358789
[24,] 1.08504032 0.76752353 0.50922564 0.316117252 0.1832114549 0.0989357968
[25,] 0.98179360 0.67909474 0.43968780 0.265924332 0.1499528882 0.0787018946
[26,] 0.86296814 0.58304922 0.36816107 0.216883617 0.1190081835 0.0607354755
[27,] 0.73736372 0.48607144 0.29910721 0.171565215 0.0916069693 0.0454755924
[28,] 0.61428676 0.39470237 0.23655879 0.132093731 0.0686504408 0.0331730427
[29,] 0.50180566 0.31417789 0.18343753 0.099799887 0.0505583977 0.0238330968
[30,] 0.40564505 0.24780577 0.14127053 0.075131182 0.0372653549 0.0172344311
[31,] 0.32887600 0.19692057 0.11028121 0.057778139 0.0283262220 0.0129971115
[32,] 0.27223139 0.16123635 0.08970175 0.046905709 0.0230624716 0.0106616845
[33,] 0.23470104 0.13933195 0.07812619 0.041380179 0.0206898963 0.0097514339
[34,] 0.21408187 0.12905764 0.07378170 0.039929699 0.0204014357 0.0098087218
[35,] 0.20731955 0.12778293 0.07468929 0.041235219 0.0214110086 0.0104121476
[36,] 0.21067143 0.13253405 0.07876052 0.043987617 0.0229815742 0.0111875630
[37,] 0.21984644 0.14013339 0.08390295 0.046953046 0.0244590803 0.0118227577
[38,] 0.23028565 0.14743519 0.08818200 0.049067195 0.0253194213 0.0120872728
[39,] 0.23765078 0.15167409 0.09003369 0.049547097 0.0252185911 0.0118509589
[40,] 0.23844736 0.15085367 0.08847253 0.047984889 0.0240263098 0.0110917217
[41,] 0.23060000 0.14404885 0.08321905 0.044383905 0.0218251667 0.0098855550
[42,] 0.21377478 0.13150498 0.07468985 0.039114581 0.0188690242 0.0083785782
[43,] 0.18931871 0.11448279 0.06384083 0.032796709 0.0155097476 0.0067478019
[44,] 0.15982110 0.09488895 0.05190708 0.026141107 0.0121127064 0.0051613402
[45,] 0.12843421 0.07480510 0.04011645 0.019796002 0.0089840893 0.0037482398
[46,] 0.09816180 0.05605302 0.02945576 0.014237233 0.0063266563 0.0025837704
[47,] 0.07131076 0.03990442 0.02054083 0.009721847 0.0042290763 0.0016902972
[48,] 0.04921891 0.02698074 0.01360043 0.006301666 0.0026829457 0.0010492782
[49,] 0.03226529 0.01732162 0.00854841 0.003876780 0.0016151401 0.0006179911
[50,] 0.02008442 0.01055694 0.00509968 0.002263256 0.0009225423 0.0003452950
             [,49]        [,50]
 [1,] 0.0097608840 6.277270e-03
 [2,] 0.0153268711 9.970248e-03
 [3,] 0.0232431150 1.530686e-02
 [4,] 0.0340694837 2.270394e-02
 [5,] 0.0482761869 3.249912e-02
 [6,] 0.0660958576 4.482527e-02
 [7,] 0.0873430642 5.946789e-02
 [8,] 0.1112456897 7.574909e-02
 [9,] 0.1363584783 9.249550e-02
[10,] 0.1606329110 1.081390e-01
[11,] 0.1816840417 1.209622e-01
[12,] 0.1972253578 1.294424e-01
[13,] 0.2055624901 1.325985e-01
[14,] 0.2059867140 1.302228e-01
[15,] 0.1989239356 1.229133e-01
[16,] 0.1857783074 1.118930e-01
[17,] 0.1685271545 9.868302e-02
[18,] 0.1492189032 8.474764e-02
[19,] 0.1295513768 7.122701e-02
[20,] 0.1106545705 5.882368e-02
[21,] 0.0931019479 4.783908e-02
[22,] 0.0770807703 3.830261e-02
[23,] 0.0626073071 3.011804e-02
[24,] 0.0496883602 2.317021e-02
[25,] 0.0383845585 1.737116e-02
[26,] 0.0287883865 1.265701e-02
[27,] 0.0209630855 8.963053e-03
[28,] 0.0148894893 6.201627e-03
[29,] 0.0104470264 4.255267e-03
[30,] 0.0074296493 2.984455e-03
[31,] 0.0055811930 2.242393e-03
[32,] 0.0046317068 1.888740e-03
[33,] 0.0043230813 1.798010e-03
[34,] 0.0044218852 1.862628e-03
[35,] 0.0047240966 1.993155e-03
[36,] 0.0050580811 2.118375e-03
[37,] 0.0052896465 2.186450e-03
[38,] 0.0053288492 2.166590e-03
[39,] 0.0051350985 2.049623e-03
[40,] 0.0047164978 1.845961e-03
[41,] 0.0041212964 1.580517e-03
[42,] 0.0034225120 1.285474e-03
[43,] 0.0026995492 9.926891e-04
[44,] 0.0020216549 7.276446e-04
[45,] 0.0014370732 5.061626e-04
[46,] 0.0009694446 3.340844e-04
[47,] 0.0006205449 2.092000e-04
[48,] 0.0003768552 1.242679e-04
[49,] 0.0002171099 7.001744e-05
[50,] 0.0001186443 3.741684e-05

> 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  
    140.024       -4.931  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7g5fs1257271056.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] -0.23692412 -0.05990681  0.11711050  0.29412782  0.47114513  0.64816244
 [7]  0.82517975  1.00219706  1.17921437  1.35623168  1.53324899  1.71026630
[13]  1.88728361  2.06430092  2.24131824  2.41833555  2.59535286  2.77237017
[19]  2.94938748  3.12640479  3.30342210  3.48043941  3.65745672  3.83447403
[25]  4.01149134  4.18850866  4.36552597  4.54254328  4.71956059  4.89657790
[31]  5.07359521  5.25061252  5.42762983  5.60464714  5.78166445  5.95868176
[37]  6.13569908  6.31271639  6.48973370  6.66675101  6.84376832  7.02078563
[43]  7.19780294  7.37482025  7.55183756  7.72885487  7.90587218  8.08288950
[49]  8.25990681  8.43692412

$yords
 [1]  75.02645  76.11313  77.19980  78.28648  79.37315  80.45983  81.54650
 [8]  82.63318  83.71985  84.80653  85.89321  86.97988  88.06656  89.15323
[15]  90.23991  91.32658  92.41326  93.49993  94.58661  95.67328  96.75996
[22]  97.84664  98.93331 100.01999 101.10666 102.19334 103.28001 104.36669
[29] 105.45336 106.54004 107.62672 108.71339 109.80007 110.88674 111.97342
[36] 113.06009 114.14677 115.23344 116.32012 117.40679 118.49347 119.58015
[43] 120.66682 121.75350 122.84017 123.92685 125.01352 126.10020 127.18687
[50] 128.27355

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 2.809525e-02 4.245903e-02 5.900319e-02 7.539618e-02 8.859139e-02
 [2,] 4.094459e-02 6.458233e-02 9.366972e-02 1.249261e-01 1.532058e-01
 [3,] 4.571651e-02 7.526107e-02 1.139295e-01 1.585880e-01 2.029892e-01
 [4,] 3.910787e-02 6.719584e-02 1.061670e-01 1.542430e-01 2.060587e-01
 [5,] 2.563190e-02 4.596691e-02 7.580212e-02 1.149450e-01 1.602779e-01
 [6,] 1.287349e-02 2.409812e-02 4.148193e-02 6.566477e-02 9.559071e-02
 [7,] 4.960191e-03 9.697189e-03 1.743807e-02 2.884782e-02 4.391053e-02
 [8,] 1.477093e-03 3.026744e-03 5.714734e-03 9.949891e-03 1.599265e-02
 [9,] 3.562910e-04 7.818724e-04 1.595553e-03 3.038027e-03 5.417966e-03
[10,] 8.788682e-05 2.236997e-04 5.392645e-04 1.231788e-03 2.662652e-03
[11,] 3.501797e-05 1.075950e-04 3.090472e-04 8.268366e-04 2.054193e-03
[12,] 1.991356e-05 6.728423e-05 2.097811e-04 6.029635e-04 1.596551e-03
[13,] 1.121745e-05 3.957215e-05 1.286707e-04 3.854032e-04 1.062948e-03
[14,] 6.774117e-06 2.392448e-05 7.846339e-05 2.384955e-04 6.707671e-04
[15,] 6.277428e-06 2.095501e-05 6.562612e-05 1.925593e-04 5.284057e-04
[16,] 8.735872e-06 2.779848e-05 8.279095e-05 2.309253e-04 6.036755e-04
[17,] 1.325346e-05 4.118029e-05 1.201185e-04 3.274201e-04 8.330130e-04
[18,] 2.135237e-05 6.101494e-05 1.708231e-04 4.563968e-04 1.147300e-03
[19,] 4.973425e-05 1.115729e-04 2.647142e-04 6.420059e-04 1.534200e-03
[20,] 1.772029e-04 3.168991e-04 5.871060e-04 1.144569e-03 2.330768e-03
[21,] 6.796267e-04 1.104072e-03 1.773601e-03 2.872634e-03 4.787310e-03
[22,] 2.332264e-03 3.624641e-03 5.477375e-03 8.109518e-03 1.192618e-02
[23,] 6.894860e-03 1.035281e-02 1.505889e-02 2.127100e-02 2.932657e-02
[24,] 1.741381e-02 2.538429e-02 3.570328e-02 4.862718e-02 6.430220e-02
[25,] 3.702322e-02 5.299319e-02 7.255316e-02 9.564493e-02 1.220023e-01
[26,] 6.474322e-02 9.248635e-02 1.249562e-01 1.609215e-01 1.990258e-01
[27,] 9.094143e-02 1.316880e-01 1.785324e-01 2.281137e-01 2.768261e-01
[28,] 1.007285e-01 1.495898e-01 2.064694e-01 2.660855e-01 3.221355e-01
[29,] 8.690693e-02 1.333644e-01 1.893298e-01 2.493657e-01 3.059514e-01
[30,] 5.797940e-02 9.234955e-02 1.357100e-01 1.843007e-01 2.318706e-01
[31,] 2.978456e-02 4.936549e-02 7.537210e-02 1.061102e-01 1.379348e-01
[32,] 1.175442e-02 2.030055e-02 3.227058e-02 4.724111e-02 6.373657e-02
[33,] 3.559243e-03 6.410111e-03 1.062110e-02 1.619534e-02 2.273607e-02
[34,] 8.263535e-04 1.552569e-03 2.683037e-03 4.265383e-03 6.239480e-03
[35,] 1.470510e-04 2.882868e-04 5.197751e-04 8.619371e-04 1.314806e-03
[36,] 2.005308e-05 4.102623e-05 7.718755e-05 1.335547e-04 2.125360e-04
[37,] 2.095786e-06 4.475468e-06 8.789643e-06 1.587854e-05 2.639313e-05
[38,] 1.698047e-07 3.810379e-07 7.899684e-07 1.518959e-06 2.728772e-06
[39,] 1.820112e-08 5.196534e-08 1.437466e-07 3.869270e-07 1.016420e-06
[40,] 2.494533e-08 9.015237e-08 3.020203e-07 9.398677e-07 2.725887e-06
[41,] 5.914489e-08 2.229158e-07 7.745518e-07 2.484161e-06 7.367372e-06
[42,] 1.104277e-07 4.331394e-07 1.563878e-06 5.200332e-06 1.593880e-05
[43,] 1.585574e-07 6.483148e-07 2.438603e-06 8.440048e-06 2.688697e-05
[44,] 1.746733e-07 7.450570e-07 2.922791e-06 1.054601e-05 3.500426e-05
[45,] 1.475129e-07 6.565759e-07 2.687449e-06 1.011602e-05 3.502019e-05
[46,] 9.546577e-08 4.434524e-07 1.894211e-06 7.440392e-06 2.687580e-05
[47,] 4.733904e-08 2.295008e-07 1.023113e-06 4.194092e-06 1.581005e-05
[48,] 1.798542e-08 9.100377e-08 4.234186e-07 1.811552e-06 7.126982e-06
[49,] 5.235292e-09 2.764760e-08 1.342593e-07 5.995145e-07 2.461650e-06
[50,] 1.167553e-09 6.435350e-09 3.261652e-08 1.520095e-07 6.514395e-07
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 9.571986e-02 9.510009e-02 8.688172e-02 7.298691e-02 5.638102e-02
 [2,] 1.727691e-01 1.791534e-01 1.708255e-01 1.497786e-01 1.207589e-01
 [3,] 2.389154e-01 2.585735e-01 2.573315e-01 2.354898e-01 1.981643e-01
 [4,] 2.531313e-01 2.859376e-01 2.970079e-01 2.836864e-01 2.491663e-01
 [5,] 2.055105e-01 2.423124e-01 2.627264e-01 2.619554e-01 2.401946e-01
 [6,] 1.279752e-01 1.575750e-01 1.784576e-01 1.859172e-01 1.782039e-01
 [7,] 6.151450e-02 7.934073e-02 9.426355e-02 1.032346e-01 1.043199e-01
 [8,] 2.376547e-02 3.271496e-02 4.182283e-02 4.980808e-02 5.546215e-02
 [9,] 9.086020e-03 1.438104e-02 2.154116e-02 3.057432e-02 4.110031e-02
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 [1,] 1.451826e-13 2.005495e-14 2.547408e-15 2.975378e-16 3.195625e-17
 [2,] 1.885315e-12 2.718135e-13 3.603528e-14 4.392903e-15 4.924308e-16
 [3,] 1.875711e-11 2.822494e-12 3.905440e-13 4.969053e-14 5.813628e-15
 [4,] 1.429751e-10 2.245472e-11 3.242832e-12 4.306339e-13 5.258499e-14
 [5,] 8.349638e-10 1.368657e-10 2.062964e-11 2.859271e-12 3.644088e-13
 [6,] 3.735833e-09 6.391379e-10 1.005475e-10 1.454505e-11 1.934767e-12
 [7,] 1.280619e-08 2.286689e-09 3.754605e-10 5.668767e-11 7.870153e-12
 [8,] 3.363325e-08 6.268150e-09 1.074192e-09 1.692763e-10 2.452945e-11
 [9,] 6.768644e-08 1.316768e-08 2.355764e-09 3.876159e-10 5.866536e-11
[10,] 1.046712e-07 2.130273e-08 3.994153e-09 6.908659e-10 1.105029e-10
[11,] 1.305626e-07 2.884025e-08 6.021581e-09 1.205469e-09 2.352443e-10
[12,] 2.312373e-07 7.113584e-08 2.160904e-08 6.386992e-09 1.806883e-09
[13,] 1.574319e-06 6.241683e-07 2.296888e-07 7.815089e-08 2.452937e-08
[14,] 1.440395e-05 6.078716e-06 2.361321e-06 8.439956e-07 2.775015e-07
[15,] 1.059070e-04 4.666848e-05 1.892354e-05 7.059283e-06 2.422330e-06
[16,] 6.014334e-04 2.763139e-04 1.168466e-04 4.546732e-05 1.627669e-05
[17,] 2.644572e-03 1.265895e-03 5.580116e-04 2.264201e-04 8.454618e-05
[18,] 9.086701e-03 4.528104e-03 2.079505e-03 8.796199e-04 3.425777e-04
[19,] 2.481535e-02 1.286263e-02 6.152033e-03 2.713106e-03 1.102716e-03
[20,] 5.543409e-02 2.988550e-02 1.489845e-02 6.861589e-03 2.917854e-03
[21,] 1.055542e-01 5.933674e-02 3.095029e-02 1.496406e-02 6.702034e-03
[22,] 1.788571e-01 1.055364e-01 5.806674e-02 2.975268e-02 1.418470e-02
[23,] 2.758050e-01 1.723510e-01 1.009792e-01 5.535489e-02 2.834266e-02
[24,] 3.829447e-01 2.549627e-01 1.598814e-01 9.408972e-02 5.180481e-02
[25,] 4.643615e-01 3.293533e-01 2.207239e-01 1.390027e-01 8.188749e-02
[26,] 4.773159e-01 3.584187e-01 2.550964e-01 1.707612e-01 1.068707e-01
[27,] 4.083372e-01 3.207828e-01 2.401459e-01 1.694898e-01 1.118948e-01
[28,] 2.904607e-01 2.339027e-01 1.816038e-01 1.338101e-01 9.251991e-02
[29,] 1.766572e-01 1.405218e-01 1.104133e-01 8.365096e-02 6.000989e-02
[30,] 9.899810e-02 7.303148e-02 5.537977e-02 4.186095e-02 3.062103e-02
[31,] 5.716424e-02 3.652417e-02 2.472045e-02 1.751790e-02 1.256040e-02
[32,] 3.653754e-02 2.009601e-02 1.139476e-02 6.886794e-03 4.446923e-03
[33,] 2.681399e-02 1.347697e-02 6.577817e-03 3.232842e-03 1.674501e-03
[34,] 2.627364e-02 1.294553e-02 5.975153e-03 2.606399e-03 1.095872e-03
[35,] 3.640318e-02 1.863327e-02 8.846596e-03 3.894154e-03 1.590811e-03
[36,] 5.476089e-02 2.961344e-02 1.480898e-02 6.840876e-03 2.916790e-03
[37,] 7.202255e-02 4.095377e-02 2.150734e-02 1.042119e-02 4.655407e-03
[38,] 7.765710e-02 4.595269e-02 2.513923e-02 1.269800e-02 5.916075e-03
[39,] 7.003034e-02 4.231638e-02 2.375770e-02 1.236426e-02 5.953882e-03
[40,] 5.785454e-02 3.453157e-02 1.932422e-02 1.010972e-02 4.930747e-03
[41,] 5.011898e-02 2.864586e-02 1.541611e-02 7.810078e-03 3.721062e-03
[42,] 4.892341e-02 2.691472e-02 1.384188e-02 6.669162e-03 3.016816e-03
[43,] 5.335578e-02 2.895274e-02 1.457412e-02 6.813003e-03 2.962496e-03
[44,] 6.364005e-02 3.462231e-02 1.741881e-02 8.104415e-03 3.488084e-03
[45,] 7.731265e-02 4.263854e-02 2.172937e-02 1.022936e-02 4.447492e-03
[46,] 8.617417e-02 4.852241e-02 2.524796e-02 1.213635e-02 5.387670e-03
[47,] 8.213281e-02 4.734665e-02 2.522861e-02 1.242335e-02 5.652347e-03
[48,] 6.490025e-02 3.833829e-02 2.093398e-02 1.056554e-02 4.928586e-03
[49,] 4.193937e-02 2.542255e-02 1.423809e-02 7.368567e-03 3.524189e-03
[50,] 2.193072e-02 1.367542e-02 7.872391e-03 4.184646e-03 2.054459e-03

> 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  
     96.172        1.905  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1un371257271056.ps tmp/1un371257271056.png")
> system("convert tmp/2m7n21257271056.ps tmp/2m7n21257271056.png")
> system("convert tmp/3emxh1257271056.ps tmp/3emxh1257271056.png")
> system("convert tmp/4d4211257271056.ps tmp/4d4211257271056.png")
> system("convert tmp/5t7061257271056.ps tmp/5t7061257271056.png")
> system("convert tmp/6xdsy1257271056.ps tmp/6xdsy1257271056.png")
> system("convert tmp/7g5fs1257271056.ps tmp/7g5fs1257271056.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.210   1.950   3.796