R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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You are welcome to redistribute it under certain conditions.
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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> z <- c(10070,10137,9984,9732,9103,9155,9308,9394,9948,10177,10002,9728,10002,10063,10018,9960,10236,10893,10756,10940,10997,10827,10166,10186,10457,10368,10244,10511,10812,10738,10171,9721,9897,9828,9924,10371,10846,10413,10709,10662,10570,10297,10635,10872,10296,10383,10431,10574,10653,10805,10872,10625,10407,10463,10556,10646,10702,11353,11346,11451,11964,12574,13031,13812,14544,14931,14886,16005,17064,15168,16050,15839,15137,14954,15648,15305,15579,16348,15928,16171,15937,15713,15594,15683,16438,17032,17696,17745,19394,20148,20108,18584,18441,18391,19178,18079,18483,19644,19195)
> y <- c(10967.87,10433.56,10665.78,10666.71,10682.74,10777.22,10052.6,10213.97,10546.82,10767.2,10444.5,10314.68,9042.56,9220.75,9721.84,9978.53,9923.81,9892.56,10500.98,10179.35,10080.48,9492.44,8616.49,8685.4,8160.67,8048.1,8641.21,8526.63,8474.21,7916.13,7977.64,8334.59,8623.36,9098.03,9154.34,9284.73,9492.49,9682.35,9762.12,10124.63,10540.05,10601.61,10323.73,10418.4,10092.96,10364.91,10152.09,10032.8,10204.59,10001.6,10411.75,10673.38,10539.51,10723.78,10682.06,10283.19,10377.18,10486.64,10545.38,10554.27,10532.54,10324.31,10695.25,10827.81,10872.48,10971.19,11145.65,11234.68,11333.88,10997.97,11036.89,11257.35,11533.59,11963.12,12185.15,12377.62,12512.89,12631.48,12268.53,12754.8,13407.75,13480.21,13673.28,13239.71,13557.69,13901.28,13200.58,13406.97,12538.12,12419.57,12193.88,12656.63,12812.48,12056.67,11322.38,11530.75,11114.08,9181.73,8614.55)
> x <- c(3032.93,3045.78,3110.52,3013.24,2987.1,2995.55,2833.18,2848.96,2794.83,2845.26,2915.02,2892.63,2604.42,2641.65,2659.81,2638.53,2720.25,2745.88,2735.7,2811.7,2799.43,2555.28,2304.98,2214.95,2065.81,1940.49,2042,1995.37,1946.81,1765.9,1635.25,1833.42,1910.43,1959.67,1969.6,2061.41,2093.48,2120.88,2174.56,2196.72,2350.44,2440.25,2408.64,2472.81,2407.6,2454.62,2448.05,2497.84,2645.64,2756.76,2849.27,2921.44,2981.85,3080.58,3106.22,3119.31,3061.26,3097.31,3161.69,3257.16,3277.01,3295.32,3363.99,3494.17,3667.03,3813.06,3917.96,3895.51,3801.06,3570.12,3701.61,3862.27,3970.1,4138.52,4199.75,4290.89,4443.91,4502.64,4356.98,4591.27,4696.96,4621.4,4562.84,4202.52,4296.49,4435.23,4105.18,4116.68,3844.49,3720.98,3674.4,3857.62,3801.06,3504.37,3032.6,3047.03,2962.34,2197.82,2014.45)
> par7 = 'Goudprijs'
> par6 = 'Dow Jones'
> par5 = 'Bel 20'
> 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/1sg101229090084.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/23qmq1229090084.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/32r621229090084.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/433la1229090084.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/57c961229090084.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  
   5618.240        1.647  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6i5td1229090084.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]  7472.329  7612.589  7752.849  7893.110  8033.370  8173.630  8313.890
 [8]  8454.151  8594.411  8734.671  8874.931  9015.192  9155.452  9295.712
[15]  9435.972  9576.233  9716.493  9856.753  9997.013 10137.274 10277.534
[22] 10417.794 10558.054 10698.315 10838.575 10978.835 11119.095 11259.356
[29] 11399.616 11539.876 11680.136 11820.397 11960.657 12100.917 12241.177
[36] 12381.438 12521.698 12661.958 12802.218 12942.479 13082.739 13222.999
[43] 13363.259 13503.520 13643.780 13784.040 13924.300 14064.561 14204.821
[50] 14345.081

$yords
 [1]  8297.094  8555.396  8813.698  9072.001  9330.303  9588.605  9846.907
 [8] 10105.210 10363.512 10621.814 10880.117 11138.419 11396.721 11655.024
[15] 11913.326 12171.628 12429.930 12688.233 12946.535 13204.837 13463.140
[22] 13721.442 13979.744 14238.047 14496.349 14754.651 15012.953 15271.256
[29] 15529.558 15787.860 16046.163 16304.465 16562.767 16821.070 17079.372
[36] 17337.674 17595.976 17854.279 18112.581 18370.883 18629.186 18887.488
[43] 19145.790 19404.093 19662.395 19920.697 20178.999 20437.302 20695.604
[50] 20953.906

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 4.328162e-08 1.046235e-07 2.796309e-07 7.010103e-07 1.343398e-06
 [2,] 8.593686e-08 1.947058e-07 4.045737e-07 9.286464e-07 2.018611e-06
 [3,] 1.324861e-07 3.514062e-07 6.903445e-07 1.235395e-06 2.427726e-06
 [4,] 1.495164e-07 4.965252e-07 1.142492e-06 1.954716e-06 3.020262e-06
 [5,] 1.301659e-07 5.239841e-07 1.493010e-06 2.989498e-06 4.479957e-06
 [6,] 1.079054e-07 4.486864e-07 1.490936e-06 3.635544e-06 6.354905e-06
 [7,] 1.136875e-07 4.036264e-07 1.285101e-06 3.469268e-06 7.203583e-06
 [8,] 1.331413e-07 4.599067e-07 1.264701e-06 3.071701e-06 6.625102e-06
 [9,] 1.269945e-07 5.168287e-07 1.490778e-06 3.274506e-06 6.126040e-06
[10,] 9.024534e-08 4.500204e-07 1.568220e-06 3.837130e-06 6.924238e-06
[11,] 5.662898e-08 3.023592e-07 1.255775e-06 3.738706e-06 7.840408e-06
[12,] 5.205066e-08 2.083114e-07 8.377625e-07 2.818459e-06 7.106037e-06
[13,] 9.024488e-08 2.259956e-07 6.752013e-07 2.002574e-06 5.279749e-06
[14,] 2.165650e-07 3.751001e-07 8.196809e-07 1.932672e-06 4.300320e-06
[15,] 4.985452e-07 7.723478e-07 1.257722e-06 2.465950e-06 4.828986e-06
[16,] 8.906207e-07 1.547143e-06 2.221508e-06 3.454733e-06 6.174310e-06
[17,] 1.156654e-06 2.475438e-06 3.884727e-06 5.284171e-06 7.931356e-06
[18,] 1.134785e-06 2.952816e-06 5.615572e-06 8.132743e-06 1.070729e-05
[19,] 1.051812e-06 2.765954e-06 6.249310e-06 1.073977e-05 1.469577e-05
[20,] 1.298652e-06 2.576065e-06 5.688865e-06 1.131830e-05 1.789749e-05
[21,] 1.840150e-06 3.083574e-06 5.262532e-06 1.008340e-05 1.796816e-05
[22,] 2.100555e-06 3.910215e-06 5.847517e-06 9.011797e-06 1.550875e-05
[23,] 1.684472e-06 3.914734e-06 6.477641e-06 8.925054e-06 1.294987e-05
[24,] 9.174623e-07 2.757180e-06 5.635462e-06 8.448127e-06 1.109785e-05
[25,] 3.363641e-07 1.322220e-06 3.471128e-06 6.315421e-06 8.813072e-06
[26,] 8.274069e-08 4.273523e-07 1.462071e-06 3.379688e-06 5.584962e-06
[27,] 1.363198e-08 9.271246e-08 4.159310e-07 1.245139e-06 2.571009e-06
[28,] 1.502302e-09 1.347115e-08 7.949147e-08 3.108913e-07 8.226032e-07
[29,] 1.106118e-10 1.308916e-09 1.017741e-08 5.223746e-08 1.793533e-07
[30,] 5.435051e-12 8.493623e-11 8.712725e-10 5.884539e-09 2.639843e-08
[31,] 1.780335e-13 3.676535e-12 4.980012e-11 4.433696e-10 2.609704e-09
[32,] 3.883881e-15 1.060433e-13 1.898109e-12 2.230390e-11 1.727308e-10
[33,] 5.637755e-17 2.036129e-15 4.818912e-14 7.480744e-13 7.637287e-12
[34,] 5.440936e-19 2.600327e-17 8.141273e-16 1.670876e-14 2.251916e-13
[35,] 3.488703e-21 2.207096e-19 9.145026e-18 2.482815e-16 4.421959e-15
[36,] 1.485321e-23 1.244242e-21 6.825201e-20 2.452347e-18 5.776288e-17
[37,] 4.196809e-26 4.656240e-24 3.382318e-22 1.608964e-20 5.014895e-19
[38,] 7.866341e-29 1.156131e-26 1.112384e-24 7.007748e-23 2.891569e-21
[39,] 9.777592e-32 1.903948e-29 2.426906e-27 2.025208e-25 1.106648e-23
[40,] 8.056818e-35 2.078903e-32 3.511147e-30 3.881854e-28 2.809799e-26
[41,] 4.400169e-38 1.504649e-35 3.367601e-33 4.933426e-31 4.731150e-29
[42,] 1.592432e-41 7.217064e-39 2.140724e-36 4.156023e-34 5.281349e-32
[43,] 3.818255e-45 2.293665e-42 9.017377e-40 2.320214e-37 3.907472e-35
[44,] 6.064965e-49 4.829301e-46 2.516594e-43 8.582712e-41 1.915728e-38
[45,] 6.381364e-53 6.735669e-50 4.652765e-47 2.103353e-44 6.222923e-42
[46,] 4.447005e-57 6.222472e-54 5.697884e-51 3.414488e-48 1.339080e-45
[47,] 2.052432e-61 3.807197e-58 4.621589e-55 3.671396e-52 1.908668e-49
[48,] 6.273384e-66 1.542732e-62 2.482695e-59 2.614596e-56 1.801929e-53
[49,] 1.269784e-70 4.139799e-67 8.832203e-64 1.233112e-60 1.126632e-57
[50,] 1.701945e-75 7.356360e-72 2.080738e-68 3.851340e-65 4.664962e-62
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.879184e-06 2.013447e-06 1.760444e-06 1.252542e-06 6.752850e-07
 [2,] 3.387599e-06 4.191029e-06 4.011600e-06 3.142177e-06 1.985837e-06
 [3,] 4.554338e-06 6.668844e-06 7.271877e-06 6.188704e-06 4.316015e-06
 [4,] 5.057469e-06 8.126942e-06 1.031850e-05 9.857294e-06 7.405193e-06
 [5,] 5.999165e-06 8.519565e-06 1.161532e-05 1.267159e-05 1.050789e-05
 [6,] 8.391934e-06 9.791572e-06 1.177116e-05 1.349537e-05 1.251326e-05
 [7,] 1.101134e-05 1.287636e-05 1.317556e-05 1.345826e-05 1.292208e-05
 [8,] 1.161060e-05 1.549769e-05 1.608498e-05 1.452708e-05 1.272605e-05
 [9,] 1.040317e-05 1.517596e-05 1.757978e-05 1.617681e-05 1.296089e-05
[10,] 1.018365e-05 1.350045e-05 1.608089e-05 1.596125e-05 1.295120e-05
[11,] 1.191100e-05 1.416566e-05 1.469861e-05 1.396860e-05 1.161015e-05
[12,] 1.285318e-05 1.680569e-05 1.673258e-05 1.386481e-05 1.030409e-05
[13,] 1.109098e-05 1.734269e-05 1.991733e-05 1.725164e-05 1.187897e-05
[14,] 8.706585e-06 1.493502e-05 2.011563e-05 2.058029e-05 1.600538e-05
[15,] 8.458394e-06 1.331587e-05 1.842983e-05 2.113087e-05 1.920653e-05
[16,] 1.041289e-05 1.512620e-05 1.925878e-05 2.164138e-05 2.076633e-05
[17,] 1.299982e-05 1.928059e-05 2.408518e-05 2.577240e-05 2.391758e-05
[18,] 1.552109e-05 2.326739e-05 3.061181e-05 3.347165e-05 3.077602e-05
[19,] 1.894519e-05 2.619304e-05 3.558856e-05 4.159057e-05 4.008065e-05
[20,] 2.351107e-05 2.949000e-05 3.806072e-05 4.640875e-05 4.821478e-05
[21,] 2.645721e-05 3.335637e-05 3.985588e-05 4.703264e-05 5.124156e-05
[22,] 2.508481e-05 3.442967e-05 4.107404e-05 4.564401e-05 4.864249e-05
[23,] 2.050115e-05 3.025570e-05 3.843189e-05 4.260274e-05 4.325520e-05
[24,] 1.557394e-05 2.285218e-05 3.070636e-05 3.574753e-05 3.626807e-05
[25,] 1.139956e-05 1.557798e-05 2.105432e-05 2.560280e-05 2.707388e-05
[26,] 7.515521e-06 9.773087e-06 1.283849e-05 1.576767e-05 1.722777e-05
[27,] 3.981388e-06 5.359506e-06 7.000300e-06 8.616582e-06 9.474097e-06
[28,] 1.555007e-06 2.351805e-06 3.239744e-06 4.148526e-06 4.651091e-06
[29,] 4.271592e-07 7.674752e-07 1.179852e-06 1.653357e-06 2.000484e-06
[30,] 8.061441e-08 1.781491e-07 3.184775e-07 5.065668e-07 6.986521e-07
[31,] 1.032637e-08 2.870107e-08 6.145065e-08 1.133592e-07 1.833739e-07
[32,] 8.916591e-10 3.164591e-09 8.302096e-09 1.803085e-08 3.448984e-08
[33,] 5.167102e-11 2.367039e-10 7.752195e-10 2.011485e-09 4.548427e-09
[34,] 2.003285e-12 1.193729e-11 4.955942e-11 1.561525e-10 4.174537e-10
[35,] 5.184221e-14 4.040850e-13 2.152768e-12 8.379096e-12 2.662106e-11
[36,] 8.939367e-16 9.150630e-15 6.314648e-14 3.086224e-13 1.178481e-12
[37,] 1.025695e-17 1.382742e-16 1.244595e-15 7.747226e-15 3.611719e-14
[38,] 7.822666e-20 1.391606e-18 1.641961e-17 1.316653e-16 7.623907e-16
[39,] 3.962416e-22 9.314538e-21 1.445761e-19 1.506423e-18 1.101044e-17
[40,] 1.332133e-24 4.141984e-23 8.478019e-22 1.155079e-20 1.080256e-19
[41,] 2.970992e-27 1.222686e-25 3.305836e-24 5.915414e-23 7.154097e-22
[42,] 4.393853e-30 2.394513e-28 8.561768e-27 2.018268e-25 3.181201e-24
[43,] 4.307642e-33 3.109675e-31 1.471573e-29 4.579427e-28 9.459484e-27
[44,] 2.798842e-36 2.677075e-34 1.677570e-32 6.901336e-31 1.875392e-29
[45,] 1.204990e-39 1.527377e-37 1.267882e-35 6.901821e-34 2.473718e-32
[46,] 3.436951e-43 5.773913e-41 6.350760e-39 4.577394e-37 2.167644e-35
[47,] 6.493827e-47 1.446009e-44 2.107782e-42 2.012383e-40 1.260570e-38
[48,] 8.127010e-51 2.398851e-48 4.634580e-46 5.862890e-44 4.861714e-42
[49,] 6.736184e-55 2.635786e-52 6.750064e-50 1.131645e-47 1.242896e-45
[50,] 3.697689e-59 1.918080e-56 6.511513e-54 1.446916e-51 2.105598e-49
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 2.566234e-07 6.590677e-08 1.122162e-08 1.256735e-09 9.228590e-11
 [2,] 9.404535e-07 3.117353e-07 6.960701e-08 1.029073e-08 1.000199e-09
 [3,] 2.410264e-06 9.996794e-07 2.886525e-07 5.600804e-08 7.188326e-09
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[14,] 3.204615e-06 2.144110e-06 9.532021e-07 2.830810e-07 5.650183e-08
[15,] 2.397107e-06 2.076704e-06 1.183794e-06 4.450976e-07 1.107559e-07
[16,] 1.229356e-06 1.400933e-06 1.046542e-06 5.129409e-07 1.651545e-07
[17,] 4.221584e-07 6.362406e-07 6.278197e-07 4.057284e-07 1.717907e-07
[18,] 9.632164e-08 1.923212e-07 2.513222e-07 2.149671e-07 1.203666e-07
[19,] 1.456698e-08 3.855354e-08 6.677401e-08 7.568511e-08 5.614235e-08
[20,] 1.459104e-09 5.119703e-09 1.175535e-08 1.766291e-08 1.736722e-08
[21,] 9.679237e-11 4.502123e-10 1.370531e-09 2.730168e-09 3.558934e-09
[22,] 4.857050e-12 2.623740e-11 1.058038e-10 2.794398e-10 4.829526e-10
[23,] 1.605056e-11 1.819222e-12 5.435092e-12 1.893820e-11 4.339447e-11
[24,] 2.768517e-10 1.862686e-11 1.006652e-12 8.737004e-13 2.582103e-12
[25,] 3.188086e-09 2.833927e-10 1.662339e-11 6.655883e-13 1.178685e-13
[26,] 2.432536e-08 2.859792e-09 2.220825e-10 1.133863e-11 3.823065e-13
[27,] 1.230303e-07 1.912107e-08 1.965790e-09 1.329623e-10 5.900685e-12
[28,] 4.131320e-07 8.481617e-08 1.153781e-08 1.033529e-09 6.077241e-11
[29,] 9.277007e-07 2.510515e-07 4.511313e-08 5.344993e-09 4.160111e-10
[30,] 1.438899e-06 5.091736e-07 1.200519e-07 1.870966e-08 1.918993e-09
[31,] 1.752387e-06 7.880757e-07 2.377118e-07 4.769193e-08 6.331547e-09
[32,] 2.259937e-06 1.228251e-06 4.504610e-07 1.107692e-07 1.818249e-08
[33,] 3.504720e-06 2.296770e-06 1.015720e-06 3.012257e-07 5.967667e-08
[34,] 5.076889e-06 4.103226e-06 2.253962e-06 8.329784e-07 2.058908e-07
[35,] 5.813142e-06 5.741674e-06 3.935659e-06 1.832363e-06 5.746768e-07
[36,] 5.253433e-06 6.026391e-06 5.078801e-06 2.955527e-06 1.169451e-06
[37,] 4.141099e-06 4.857379e-06 4.844901e-06 3.478638e-06 1.718462e-06
[38,] 3.233520e-06 3.262487e-06 3.485842e-06 3.009089e-06 1.840580e-06
[39,] 2.431459e-06 2.075946e-06 2.009437e-06 1.933018e-06 1.441523e-06
[40,] 1.529161e-06 1.281051e-06 1.046180e-06 9.615329e-07 8.263812e-07
[41,] 7.823325e-07 6.772196e-07 5.257109e-07 4.118794e-07 3.562404e-07
[42,] 3.821413e-07 2.882562e-07 2.322201e-07 1.676133e-07 1.264200e-07
[43,] 2.068244e-07 1.124313e-07 8.257286e-08 6.145892e-08 4.154042e-08
[44,] 1.089346e-07 4.888389e-08 2.587690e-08 1.830993e-08 1.254878e-08
[45,] 4.623760e-08 2.188944e-08 8.945449e-09 4.651504e-09 3.134471e-09
[46,] 1.473460e-08 8.142426e-09 3.367841e-09 1.270467e-09 6.516100e-10
[47,] 4.055586e-09 2.290253e-09 1.093938e-09 3.972165e-10 1.403486e-10
[48,] 1.830871e-09 5.619594e-10 2.714201e-10 1.121539e-10 3.596607e-11
[49,] 1.441111e-09 2.339579e-10 5.953180e-11 2.452731e-11 8.777202e-12
[50,] 1.008479e-09 1.689015e-10 2.300123e-11 4.823660e-12 1.690255e-12

> 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  
  -3899.100        1.564  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7x6wf1229090084.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] 1217.580 1297.112 1376.643 1456.175 1535.707 1615.238 1694.770 1774.301
 [9] 1853.833 1933.365 2012.896 2092.428 2171.960 2251.491 2331.023 2410.555
[17] 2490.086 2569.618 2649.149 2728.681 2808.213 2887.744 2967.276 3046.808
[25] 3126.339 3205.871 3285.402 3364.934 3444.466 3523.997 3603.529 3683.061
[33] 3762.592 3842.124 3921.655 4001.187 4080.719 4160.250 4239.782 4319.314
[41] 4398.845 4478.377 4557.909 4637.440 4716.972 4796.503 4876.035 4955.567
[49] 5035.098 5114.630

$yords
 [1]  8297.094  8555.396  8813.698  9072.001  9330.303  9588.605  9846.907
 [8] 10105.210 10363.512 10621.814 10880.117 11138.419 11396.721 11655.024
[15] 11913.326 12171.628 12429.930 12688.233 12946.535 13204.837 13463.140
[22] 13721.442 13979.744 14238.047 14496.349 14754.651 15012.953 15271.256
[29] 15529.558 15787.860 16046.163 16304.465 16562.767 16821.070 17079.372
[36] 17337.674 17595.976 17854.279 18112.581 18370.883 18629.186 18887.488
[43] 19145.790 19404.093 19662.395 19920.697 20178.999 20437.302 20695.604
[50] 20953.906

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 1.976042e-07 4.912427e-07 9.071355e-07 1.362066e-06 1.787236e-06
 [2,] 2.443998e-07 6.920444e-07 1.406228e-06 2.201685e-06 2.902353e-06
 [3,] 2.664213e-07 8.671830e-07 1.983915e-06 3.355066e-06 4.542907e-06
 [4,] 2.567239e-07 9.625919e-07 2.511076e-06 4.712757e-06 6.770065e-06
 [5,] 2.211452e-07 9.489913e-07 2.834430e-06 6.000965e-06 9.413656e-06
 [6,] 1.753204e-07 8.407547e-07 2.859301e-06 6.872774e-06 1.200129e-05
 [7,] 1.368113e-07 6.889623e-07 2.609072e-06 7.090128e-06 1.390060e-05
 [8,] 1.184994e-07 5.551750e-07 2.215150e-06 6.668967e-06 1.464107e-05
 [9,] 1.275163e-07 4.861767e-07 1.848572e-06 5.875350e-06 1.419096e-05
[10,] 1.698688e-07 5.051046e-07 1.646291e-06 5.084609e-06 1.297541e-05
[11,] 2.577554e-07 6.209054e-07 1.675902e-06 4.615399e-06 1.164316e-05
[12,] 4.143256e-07 8.481290e-07 1.947279e-06 4.635673e-06 1.077656e-05
[13,] 6.696882e-07 1.222983e-06 2.454947e-06 5.162307e-06 1.071324e-05
[14,] 1.045397e-06 1.798437e-06 3.221873e-06 6.128876e-06 1.151164e-05
[15,] 1.532937e-06 2.609613e-06 4.305578e-06 7.476893e-06 1.302355e-05
[16,] 2.078350e-06 3.624197e-06 5.740952e-06 9.201544e-06 1.503014e-05
[17,] 2.583511e-06 4.712285e-06 7.446476e-06 1.129058e-05 1.735691e-05
[18,] 2.927644e-06 5.662241e-06 9.170598e-06 1.358443e-05 1.985674e-05
[19,] 3.006533e-06 6.240154e-06 1.053873e-05 1.569078e-05 2.225967e-05
[20,] 2.778503e-06 6.269760e-06 1.118391e-05 1.707119e-05 2.406363e-05
[21,] 2.293289e-06 5.705503e-06 1.088695e-05 1.726705e-05 2.464994e-05
[22,] 1.678242e-06 4.667087e-06 9.662474e-06 1.610887e-05 2.358901e-05
[23,] 1.082120e-06 3.404945e-06 7.764330e-06 1.378350e-05 2.089608e-05
[24,] 6.117174e-07 2.199629e-06 5.604420e-06 1.075411e-05 1.704144e-05
[25,] 3.020270e-07 1.250630e-06 3.605087e-06 7.597091e-06 1.274011e-05
[26,] 1.298903e-07 6.228552e-07 2.051836e-06 4.820716e-06 8.686466e-06
[27,] 4.856339e-08 2.707639e-07 1.027156e-06 2.725810e-06 5.365553e-06
[28,] 1.576397e-08 1.024799e-07 4.502000e-07 1.363604e-06 2.979196e-06
[29,] 4.438648e-09 3.371001e-08 1.721783e-07 5.999732e-07 1.475195e-06
[30,] 1.083418e-09 9.625361e-09 5.731950e-08 2.311276e-07 6.467553e-07
[31,] 2.291503e-10 2.383682e-09 1.658210e-08 7.769448e-08 2.495619e-07
[32,] 4.198562e-11 5.116868e-10 4.163702e-09 2.273533e-08 8.436157e-08
[33,] 6.662763e-12 9.517358e-11 9.067188e-10 5.781629e-09 2.489634e-08
[34,] 9.156435e-13 1.533456e-11 1.711513e-10 1.276223e-09 6.398290e-09
[35,] 1.089630e-13 2.139891e-12 2.799235e-11 2.443311e-10 1.429418e-09
[36,] 1.122759e-14 2.585977e-13 3.965875e-12 4.054751e-11 2.772564e-10
[37,] 1.001686e-15 2.706047e-14 4.866361e-13 5.830659e-12 4.665047e-11
[38,] 7.737547e-17 2.451882e-15 5.171110e-14 7.263159e-13 6.804909e-12
[39,] 5.174810e-18 1.923544e-16 4.758207e-15 7.836294e-14 8.602043e-13
[40,] 2.996378e-19 1.306559e-17 3.791022e-16 7.321787e-15 9.420349e-14
[41,] 1.502140e-20 7.683809e-19 2.615230e-17 5.923947e-16 8.935841e-15
[42,] 6.519731e-22 3.912336e-20 1.562032e-18 4.150159e-17 7.340819e-16
[43,] 2.449936e-23 1.724670e-21 8.077741e-20 2.517454e-18 5.222204e-17
[44,] 7.970482e-25 6.582394e-23 3.616639e-21 1.322178e-19 3.216881e-18
[45,] 2.244992e-26 2.175028e-24 1.401938e-22 6.012267e-21 1.715793e-19
[46,] 5.474571e-28 6.222322e-26 4.705031e-24 2.367037e-22 7.923795e-21
[47,] 1.155805e-29 1.541136e-27 1.367098e-25 8.068290e-24 3.168297e-22
[48,] 2.112628e-31 3.304720e-29 3.439097e-27 2.381055e-25 1.096833e-23
[49,] 3.343205e-33 6.135226e-31 7.490190e-29 6.083654e-27 3.287528e-25
[50,] 4.580371e-35 9.861100e-33 1.412347e-30 1.345744e-28 8.531135e-27
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 2.022327e-06 1.850021e-06 1.304244e-06 6.914984e-07 2.701983e-07
 [2,] 3.355695e-06 3.278516e-06 2.553447e-06 1.524367e-06 6.785141e-07
 [3,] 5.300557e-06 5.375847e-06 4.519550e-06 2.993812e-06 1.504341e-06
 [4,] 8.054022e-06 8.325400e-06 7.361998e-06 5.303246e-06 2.968467e-06
 [5,] 1.171268e-05 1.234408e-05 1.125024e-05 8.609676e-06 5.272165e-06
 [6,] 1.604865e-05 1.753578e-05 1.636795e-05 1.303884e-05 8.550629e-06
 [7,] 2.038486e-05 2.362075e-05 2.277839e-05 1.869648e-05 1.287121e-05
 [8,] 2.378081e-05 2.977165e-05 3.015485e-05 2.556701e-05 1.824719e-05
 [9,] 2.549815e-05 3.482846e-05 3.761624e-05 3.329351e-05 2.458097e-05
[10,] 2.541741e-05 3.786239e-05 4.395782e-05 4.105252e-05 3.152263e-05
[11,] 2.408084e-05 3.867679e-05 4.823751e-05 4.778411e-05 3.840344e-05
[12,] 2.236983e-05 3.784166e-05 5.026458e-05 5.272326e-05 4.444130e-05
[13,] 2.110766e-05 3.629773e-05 5.056928e-05 5.579326e-05 4.915924e-05
[14,] 2.082117e-05 3.492029e-05 4.994536e-05 5.747979e-05 5.264905e-05
[15,] 2.167225e-05 3.431246e-05 4.904339e-05 5.832898e-05 5.537698e-05
[16,] 2.349324e-05 3.476368e-05 4.829803e-05 5.859124e-05 5.768488e-05
[17,] 2.591127e-05 3.622913e-05 4.801941e-05 5.830115e-05 5.947119e-05
[18,] 2.851480e-05 3.834786e-05 4.837389e-05 5.756243e-05 6.033812e-05
[19,] 3.092626e-05 4.055992e-05 4.925138e-05 5.663975e-05 6.000598e-05
[20,] 3.271916e-05 4.224490e-05 5.020229e-05 5.575737e-05 5.857163e-05
[21,] 3.333581e-05 4.277694e-05 5.052250e-05 5.482518e-05 5.639497e-05
[22,] 3.221940e-05 4.156344e-05 4.942837e-05 5.334134e-05 5.374657e-05
[23,] 2.913625e-05 3.821761e-05 4.628545e-05 5.056123e-05 5.052748e-05
[24,] 2.440971e-05 3.282886e-05 4.088075e-05 4.586836e-05 4.630223e-05
[25,] 1.883656e-05 2.608153e-05 3.362561e-05 3.916629e-05 4.064984e-05
[26,] 1.334663e-05 1.904348e-05 2.550368e-05 3.105234e-05 3.358542e-05
[27,] 8.659521e-06 1.273904e-05 1.771786e-05 2.263002e-05 2.572752e-05
[28,] 5.124566e-06 7.797278e-06 1.123270e-05 1.505687e-05 1.807565e-05
[29,] 2.750057e-06 4.361848e-06 6.489585e-06 9.108869e-06 1.156523e-05
[30,] 1.328623e-06 2.224669e-06 3.416542e-06 5.000378e-06 6.710056e-06
[31,] 5.734437e-07 1.029938e-06 1.639221e-06 2.489676e-06 3.522141e-06
[32,] 2.195187e-07 4.301469e-07 7.161041e-07 1.124839e-06 1.670926e-06
[33,] 7.407464e-08 1.609097e-07 2.840726e-07 4.614934e-07 7.163351e-07
[34,] 2.192584e-08 5.353268e-08 1.018553e-07 1.719714e-07 2.776347e-07
[35,] 5.671732e-09 1.573847e-08 3.281003e-08 5.814276e-08 9.735179e-08
[36,] 1.278678e-09 4.067473e-09 9.432243e-09 1.778579e-08 3.090257e-08
[37,] 2.507490e-10 9.202655e-10 2.404517e-09 4.900720e-09 8.880236e-09
[38,] 4.271152e-11 1.817092e-10 5.405051e-10 1.209568e-09 2.307507e-09
[39,] 6.313252e-12 3.124097e-11 1.066403e-10 2.658144e-10 5.408016e-10
[40,] 8.092133e-13 4.669139e-12 1.839990e-11 5.171336e-11 1.138660e-10
[41,] 8.990189e-14 6.059040e-13 2.768794e-12 8.861340e-12 2.143225e-11
[42,] 8.654105e-15 6.821178e-14 3.626273e-13 1.331801e-12 3.587036e-12
[43,] 7.216421e-16 6.658039e-15 4.127437e-14 1.749746e-13 5.310510e-13
[44,] 5.211910e-17 5.632263e-16 4.078351e-15 2.004450e-14 6.922135e-14
[45,] 3.259825e-18 4.127979e-17 3.495709e-16 1.998316e-15 7.912822e-15
[46,] 1.765560e-19 2.620730e-18 2.597740e-17 1.731283e-16 7.907331e-16
[47,] 8.280036e-21 1.441015e-19 1.672980e-18 1.302126e-17 6.890546e-17
[48,] 3.362253e-22 6.861746e-21 9.334715e-20 8.495617e-19 5.226169e-18
[49,] 1.182122e-23 2.829343e-22 4.511671e-21 4.805677e-20 3.445099e-19
[50,] 3.598458e-25 1.010173e-23 1.888576e-22 2.355910e-21 1.971742e-20
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 7.595132e-08 1.498790e-08 2.035728e-09 1.877353e-10 1.165456e-11
 [2,] 2.191277e-07 5.000436e-08 7.890721e-09 8.481012e-10 6.149103e-11
 [3,] 5.549364e-07 1.458718e-07 2.667191e-08 3.334880e-09 2.820190e-10
 [4,] 1.240121e-06 3.734083e-07 7.881779e-08 1.143502e-08 1.125864e-09
 [5,] 2.463822e-06 8.429983e-07 2.043320e-07 3.427671e-08 3.919504e-09
 [6,] 4.396737e-06 1.690152e-06 4.669481e-07 9.012336e-08 1.192854e-08
 [7,] 7.140340e-06 3.037729e-06 9.467723e-07 2.088055e-07 3.184171e-08
 [8,] 1.071146e-05 4.952762e-06 1.717881e-06 4.289084e-07 7.488203e-08
 [9,] 1.505395e-05 7.425530e-06 2.819500e-06 7.872933e-07 1.560418e-07
[10,] 2.002183e-05 1.037583e-05 4.237823e-06 1.304034e-06 2.902510e-07
[11,] 2.531630e-05 1.365889e-05 5.906998e-06 1.970941e-06 4.862320e-07
[12,] 3.047262e-05 1.705580e-05 7.720174e-06 2.750031e-06 7.410657e-07
[13,] 3.501960e-05 2.029243e-05 9.541653e-06 3.581023e-06 1.038664e-06
[14,] 3.876178e-05 2.314686e-05 1.123432e-05 4.394498e-06 1.353213e-06
[15,] 4.192491e-05 2.561072e-05 1.272353e-05 5.133621e-06 1.657286e-06
[16,] 4.495650e-05 2.795367e-05 1.407681e-05 5.788854e-06 1.935315e-06
[17,] 4.810056e-05 3.057089e-05 1.552703e-05 6.434488e-06 2.202537e-06
[18,] 5.111387e-05 3.368262e-05 1.738236e-05 7.237262e-06 2.523401e-06
[19,] 5.337077e-05 3.710600e-05 1.985224e-05 8.413399e-06 3.015925e-06
[20,] 5.425388e-05 4.026990e-05 2.288982e-05 1.014171e-05 3.829318e-06
[21,] 5.350730e-05 4.245804e-05 2.613960e-05 1.246599e-05 5.093609e-06
[22,] 5.129782e-05 4.311612e-05 2.901528e-05 1.522200e-05 6.853590e-06
[23,] 4.797899e-05 4.203700e-05 3.087323e-05 1.801771e-05 9.007651e-06
[24,] 4.378308e-05 3.933853e-05 3.121023e-05 2.029234e-05 1.127653e-05
[25,] 3.871397e-05 3.530592e-05 2.980750e-05 2.146239e-05 1.322929e-05
[26,] 3.273070e-05 3.026326e-05 2.677859e-05 2.112003e-05 1.438544e-05
[27,] 2.603964e-05 2.457168e-05 2.252915e-05 1.920305e-05 1.437999e-05
[28,] 1.920941e-05 1.869141e-05 1.765756e-05 1.604597e-05 1.312659e-05
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[40,] 1.105658e-06 9.281235e-07 7.644085e-07 7.001012e-07 6.428460e-07
[41,] 6.843011e-07 5.821491e-07 4.656510e-07 3.868459e-07 3.517590e-07
[42,] 3.923894e-07 3.359473e-07 2.718930e-07 2.098279e-07 1.780483e-07
[43,] 2.092576e-07 1.777367e-07 1.479871e-07 1.116005e-07 8.618344e-08
[44,] 1.037679e-07 8.661938e-08 7.374919e-08 5.682157e-08 4.088336e-08
[45,] 4.777374e-08 3.915892e-08 3.347719e-08 2.690733e-08 1.899925e-08
[46,] 2.058051e-08 1.649924e-08 1.390298e-08 1.162020e-08 8.446021e-09
[47,] 8.591764e-09 6.500966e-09 5.330115e-09 4.544472e-09 3.486779e-09
[48,] 3.735463e-09 2.425320e-09 1.903675e-09 1.614636e-09 1.308760e-09
[49,] 1.806597e-09 8.920724e-10 6.391933e-10 5.262153e-10 4.426732e-10
[50,] 9.530925e-10 3.487470e-10 2.055637e-10 1.592678e-10 1.351353e-10

> 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  
   4434.756        2.724  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1sg101229090084.ps tmp/1sg101229090084.png")
> system("convert tmp/23qmq1229090084.ps tmp/23qmq1229090084.png")
> system("convert tmp/32r621229090084.ps tmp/32r621229090084.png")
> system("convert tmp/433la1229090084.ps tmp/433la1229090084.png")
> system("convert tmp/57c961229090084.ps tmp/57c961229090084.png")
> system("convert tmp/6i5td1229090084.ps tmp/6i5td1229090084.png")
> system("convert tmp/7x6wf1229090084.ps tmp/7x6wf1229090084.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.020   1.304   2.350