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(112.7,102.9,97.4,111.4,87.4,96.8,114.1,110.3,103.9,101.6,94.6,95.9,104.7,102.8,98.1,113.9,80.9,95.7,113.2,105.9,108.8,102.3,99,100.7,115.5,100.7,109.9,114.6,85.4,100.5,114.8,116.5,112.9,102,106,105.3,118.8,106.1,109.3,117.2,92.5,104.2,112.5,122.4,113.3,100,110.7,112.8,109.8,117.3,109.1,115.9,96,99.8,116.8,115.7,99.4,94.3,91,93.2,103.1)
> y <- c(7.5,6.8,6.5,6.6,7.6,8,8.1,7.7,7.5,7.6,7.8,7.8,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.2,7.9,7.3,6.9,6.6,6.7,6.9,7,7.1,7.2,7.1,6.9,7,6.8,6.4,6.7,6.6,6.4,6.3,6.2,6.5,6.8,6.8,6.4,6.1,5.8,6.1,7.2,7.3,6.9,6.1,5.8,6.2,7.1,7.7,7.9)
> x <- c(9.3,8.3,8,8.5,10.4,11.1,10.9,10,9.2,9.2,9.5,9.6,9.5,9.1,8.9,9,10.1,10.3,10.2,9.6,9.2,9.3,9.4,9.4,9.2,9,9,9,9.8,10,9.8,9.3,9,9,9.1,9.1,9.1,9.2,8.8,8.3,8.4,8.1,7.7,7.9,7.9,8,7.9,7.6,7.1,6.8,6.5,6.9,8.2,8.7,8.3,7.9,7.5,7.8,8.3,8.4,8.2)
> par7 = 'Variable Z'
> par6 = 'Variable Y'
> par5 = 'Variable X'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> x <- array(x,dim=c(length(x),1))
> colnames(x) <- par5
> y <- array(y,dim=c(length(y),1))
> colnames(y) <- par6
> z <- array(z,dim=c(length(z),1))
> colnames(z) <- par7
> d <- data.frame(cbind(z,y,x))
> colnames(d) <- list(par7,par6,par5)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1>500) par1 <- 500
> if (par2>500) par2 <- 500
> if (par1<10) par1 <- 10
> if (par2<10) par2 <- 10
> library(GenKern)
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997
> library(lattice)
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/www/rcomp/tmp/1344g1257589346.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2xqjt1257589346.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3e44k1257589346.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4dgnz1257589346.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/www/rcomp/tmp/566yg1257589346.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$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  
     2.8210       0.4874  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6mwb31257589346.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] 5.329816 5.397986 5.466157 5.534328 5.602499 5.670670 5.738840 5.807011
 [9] 5.875182 5.943353 6.011524 6.079694 6.147865 6.216036 6.284207 6.352377
[17] 6.420548 6.488719 6.556890 6.625061 6.693231 6.761402 6.829573 6.897744
[25] 6.965915 7.034085 7.102256 7.170427 7.238598 7.306769 7.374939 7.443110
[33] 7.511281 7.579452 7.647623 7.715793 7.783964 7.852135 7.920306 7.988476
[41] 8.056647 8.124818 8.192989 8.261160 8.329330 8.397501 8.465672 8.533843
[49] 8.602014 8.670184

$yords
 [1]  75.50246  76.56971  77.63695  78.70420  79.77145  80.83869  81.90594
 [8]  82.97319  84.04043  85.10768  86.17493  87.24217  88.30942  89.37666
[15]  90.44391  91.51116  92.57840  93.64565  94.71290  95.78014  96.84739
[22]  97.91464  98.98188 100.04913 101.11638 102.18362 103.25087 104.31812
[29] 105.38536 106.45261 107.51986 108.58710 109.65435 110.72160 111.78884
[36] 112.85609 113.92334 114.99058 116.05783 117.12507 118.19232 119.25957
[43] 120.32681 121.39406 122.46131 123.52855 124.59580 125.66305 126.73029
[50] 127.79754

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 1.357674e-10 5.686805e-10 2.331633e-09 9.487302e-09 3.834103e-08
 [2,] 4.889028e-10 1.938014e-09 7.431259e-09 2.807638e-08 1.054877e-07
 [3,] 1.699031e-09 6.421229e-09 2.319008e-08 8.164837e-08 2.847060e-07
 [4,] 5.676431e-09 2.058908e-08 7.056584e-08 2.329428e-07 7.550715e-07
 [5,] 1.817622e-08 6.361740e-08 2.084095e-07 6.498023e-07 1.967088e-06
 [6,] 5.564884e-08 1.887536e-07 5.947083e-07 1.764553e-06 5.022064e-06
 [7,] 1.626193e-07 5.362622e-07 1.633139e-06 4.642847e-06 1.251690e-05
 [8,] 4.530145e-07 1.455814e-06 4.301919e-06 1.178534e-05 3.031695e-05
 [9,] 1.202017e-06 3.770669e-06 1.084245e-05 2.875399e-05 7.103263e-05
[10,] 3.036302e-06 9.308125e-06 2.609858e-05 6.723137e-05 1.603357e-04
[11,] 7.299780e-06 2.188533e-05 5.991979e-05 1.503141e-04 3.474787e-04
[12,] 1.670346e-05 4.899472e-05 1.311082e-04 3.208465e-04 7.211289e-04
[13,] 3.638699e-05 1.044332e-04 2.732810e-04 6.531595e-04 1.430406e-03
[14,] 7.550195e-05 2.119992e-04 5.425938e-04 1.267424e-03 2.708427e-03
[15,] 1.493548e-04 4.101022e-04 1.026464e-03 2.343936e-03 4.891883e-03
[16,] 2.820246e-04 7.567145e-04 1.851378e-03 4.132447e-03 8.426401e-03
[17,] 5.092703e-04 1.333767e-03 3.187128e-03 6.950463e-03 1.384622e-02
[18,] 8.815979e-04 2.250165e-03 5.245131e-03 1.116577e-02 2.172099e-02
[19,] 1.467711e-03 3.643458e-03 8.270697e-03 1.716377e-02 3.257402e-02
[20,] 2.359241e-03 5.681829e-03 1.253295e-02 2.530865e-02 4.679266e-02
[21,] 3.678229e-03 8.569604e-03 1.831986e-02 3.591512e-02 6.456529e-02
[22,] 5.588569e-03 1.255929e-02 2.594593e-02 4.924812e-02 8.587879e-02
[23,] 8.310326e-03 1.796910e-02 3.577342e-02 6.555571e-02 1.105885e-01
[24,] 1.213111e-02 2.519654e-02 4.823286e-02 8.511511e-02 1.385306e-01
[25,] 1.740241e-02 3.470789e-02 6.381191e-02 1.082442e-01 1.696021e-01
[26,] 2.450434e-02 4.697748e-02 8.297250e-02 1.352190e-01 2.037209e-01
[27,] 3.376473e-02 6.235697e-02 1.059699e-01 1.660596e-01 2.406093e-01
[28,] 4.533121e-02 8.087922e-02 1.325875e-01 2.002095e-01 2.794360e-01
[29,] 5.901838e-02 1.020396e-01 1.618575e-01 2.362106e-01 3.184508e-01
[30,] 7.417768e-02 1.246350e-01 1.918887e-01 2.715361e-01 3.548146e-01
[31,] 8.965190e-02 1.467524e-01 2.199234e-01 3.027308e-01 3.847972e-01
[32,] 1.038665e-01 1.659744e-01 2.426939e-01 3.259213e-01 4.043892e-01
[33,] 1.150715e-01 1.797935e-01 2.570376e-01 3.376096e-01 4.101972e-01
[34,] 1.216900e-01 1.861467e-01 2.606161e-01 3.355245e-01 4.003436e-01
[35,] 1.226806e-01 1.839139e-01 2.525124e-01 3.192506e-01 3.750559e-01
[36,] 1.177980e-01 1.732141e-01 2.335040e-01 2.904106e-01 3.367302e-01
[37,] 1.076653e-01 1.553999e-01 2.059119e-01 2.523335e-01 2.894440e-01
[38,] 9.363101e-02 1.327473e-01 1.730772e-01 2.093206e-01 2.380867e-01
[39,] 7.745855e-02 1.079462e-01 1.386375e-01 1.657530e-01 1.873937e-01
[40,] 6.095075e-02 8.355375e-02 1.058297e-01 1.253069e-01 1.411603e-01
[41,] 4.561895e-02 6.156428e-02 7.700148e-02 9.046788e-02 1.018096e-01
[42,] 3.247875e-02 4.318878e-02 5.341890e-02 6.240680e-02 7.034394e-02
[43,] 2.199900e-02 2.885425e-02 3.534999e-02 4.115809e-02 4.659166e-02
[44,] 1.417903e-02 1.836546e-02 2.232661e-02 2.597005e-02 2.960270e-02
[45,] 8.698573e-03 1.114145e-02 1.346721e-02 1.568995e-02 1.805490e-02
[46,] 5.081050e-03 6.445541e-03 7.763727e-03 9.083492e-03 1.057761e-02
[47,] 2.827083e-03 3.558123e-03 4.281011e-03 5.043378e-03 5.956405e-03
[48,] 1.499029e-03 1.875540e-03 2.259811e-03 2.687680e-03 3.225920e-03
[49,] 7.578883e-04 9.447254e-04 1.142946e-03 1.375813e-03 1.681413e-03
[50,] 3.655914e-04 4.551103e-04 5.543585e-04 6.770166e-04 8.440491e-04
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.520377e-07 5.809753e-07 2.104261e-06 7.141739e-06 2.257275e-05
 [2,] 3.922611e-07 1.421475e-06 4.929467e-06 1.611973e-05 4.924671e-05
 [3,] 9.870424e-07 3.369117e-06 1.112589e-05 3.493590e-05 1.030003e-04
 [4,] 2.431831e-06 7.768021e-06 2.427271e-05 7.285081e-05 2.067363e-04
 [5,] 5.882558e-06 1.749664e-05 5.138738e-05 1.465786e-04 3.988793e-04
 [6,] 1.398444e-05 3.863558e-05 1.060235e-04 2.855841e-04 7.416018e-04
 [7,] 3.263421e-05 8.381492e-05 2.140426e-04 5.410228e-04 1.332910e-03
 [8,] 7.453360e-05 1.786534e-04 4.240927e-04 1.000802e-03 2.324972e-03
 [9,] 1.659059e-04 3.734425e-04 8.257616e-04 1.814312e-03 3.952343e-03
[10,] 3.582578e-04 7.628242e-04 1.578922e-03 3.230781e-03 6.574219e-03
[11,] 7.471990e-04 1.515983e-03 2.956861e-03 5.653388e-03 1.073242e-02
[12,] 1.499439e-03 2.917779e-03 5.401910e-03 9.705333e-03 1.721911e-02
[13,] 2.886376e-03 5.416209e-03 9.584210e-03 1.629269e-02 2.713402e-02
[14,] 5.317744e-03 9.663358e-03 1.644227e-02 2.663346e-02 4.189278e-02
[15,] 9.362343e-03 1.652758e-02 2.717209e-02 4.220923e-02 6.313533e-02
[16,] 1.573751e-02 2.704860e-02 4.312699e-02 6.459526e-02 9.248843e-02
[17,] 2.524929e-02 4.231192e-02 6.560314e-02 9.514897e-02 1.311735e-01
[18,] 3.867575e-02 6.323991e-02 9.552115e-02 1.345889e-01 1.795173e-01
[19,] 5.660773e-02 9.033364e-02 1.330682e-01 1.825655e-01 2.365030e-01
[20,] 7.928957e-02 1.234408e-01 1.774169e-01 2.373801e-01 2.995471e-01
[21,] 1.065216e-01 1.616471e-01 2.266549e-01 2.960131e-01 3.646707e-01
[22,] 1.376812e-01 2.033719e-01 2.780188e-01 3.545485e-01 4.271232e-01
[23,] 1.718795e-01 2.466782e-01 3.284197e-01 4.089376e-01 4.823436e-01
[24,] 2.082020e-01 2.897100e-01 3.751181e-01 4.558906e-01 5.269843e-01
[25,] 2.459195e-01 3.310848e-01 4.163037e-01 4.935887e-01 5.596460e-01
[26,] 2.845369e-01 3.700539e-01 4.513417e-01 5.219377e-01 5.810449e-01
[27,] 3.235992e-01 4.063253e-01 4.805612e-01 5.422479e-01 5.935314e-01
[28,] 3.622965e-01 4.395968e-01 5.046560e-01 5.564498e-01 6.001190e-01
[29,] 3.990359e-01 4.690085e-01 5.239513e-01 5.661458e-01 6.033675e-01
[30,] 4.312212e-01 4.927946e-01 5.378602e-01 5.718629e-01 6.045012e-01
[31,] 4.554326e-01 5.083516e-01 5.447775e-01 5.727801e-01 6.030440e-01
[32,] 4.680463e-01 5.127682e-01 5.424727e-01 5.670082e-01 5.970543e-01
[33,] 4.661304e-01 5.036475e-01 5.288268e-01 5.522889e-01 5.838417e-01
[34,] 4.483151e-01 4.799210e-01 5.026301e-01 5.268454e-01 5.609067e-01
[35,] 4.153152e-01 4.423468e-01 4.641461e-01 4.900920e-01 5.268069e-01
[36,] 3.699151e-01 3.935191e-01 4.152634e-01 4.429944e-01 4.817027e-01
[37,] 3.164235e-01 3.374007e-01 3.592143e-01 3.880029e-01 4.274567e-01
[38,] 2.597950e-01 2.785569e-01 2.999843e-01 3.286203e-01 3.672960e-01
[39,] 2.047002e-01 2.213376e-01 2.416071e-01 2.687557e-01 3.051702e-01
[40,] 1.548052e-01 1.692277e-01 1.875377e-01 2.120519e-01 2.450073e-01
[41,] 1.123993e-01 1.244905e-01 1.402352e-01 1.613524e-01 1.900690e-01
[42,] 7.838350e-02 8.811877e-02 1.010054e-01 1.184081e-01 1.425476e-01
[43,] 5.252395e-02 6.002348e-02 7.007970e-02 8.384457e-02 1.034541e-01
[44,] 3.383377e-02 3.935378e-02 4.685597e-02 5.734000e-02 7.275436e-02
[45,] 2.095995e-02 2.484351e-02 3.021159e-02 3.792399e-02 4.965883e-02
[46,] 1.249307e-02 1.510890e-02 1.880597e-02 2.429947e-02 3.295569e-02
[47,] 7.168123e-03 8.859245e-03 1.131862e-02 1.511470e-02 2.130314e-02
[48,] 3.961651e-03 5.014327e-03 6.599644e-03 9.147723e-03 1.343626e-02
[49,] 2.110849e-03 2.743974e-03 3.736910e-03 5.399616e-03 8.281054e-03
[50,] 1.085605e-03 1.454852e-03 2.060398e-03 3.115551e-03 4.993311e-03
             [,11]        [,12]        [,13]       [,14]       [,15]
 [1,] 6.630035e-05 0.0001810614 0.0004606376 0.001094250 0.002431439
 [2,] 1.399386e-04 0.0003695175 0.0009078218 0.002079663 0.004452090
 [3,] 2.830699e-04 0.0007230827 0.0017169315 0.003796176 0.007833859
 [4,] 5.489451e-04 0.0013565974 0.0031154018 0.006654294 0.013247381
 [5,] 1.021396e-03 0.0024407790 0.0054232509 0.011199830 0.021530088
 [6,] 1.826013e-03 0.0042142308 0.0090593460 0.018101002 0.033633610
 [7,] 3.143286e-03 0.0069914480 0.0145317910 0.028101845 0.050518076
 [8,] 5.225135e-03 0.0111666160 0.0224111687 0.041942890 0.073003349
 [9,] 8.418274e-03 0.0172171477 0.0332941216 0.060266241 0.101611957
[10,] 1.319929e-02 0.0257151704 0.0477741907 0.083538131 0.136458844
[11,] 2.022434e-02 0.0373552246 0.0664399196 0.112026638 0.177243203
[12,] 3.038777e-02 0.0529974492 0.0899095837 0.145855210 0.223366304
[13,] 4.486723e-02 0.0737055248 0.1188850243 0.185112500 0.274139619
[14,] 6.511213e-02 0.1007335389 0.1541730854 0.229951165 0.328985407
[15,] 9.272010e-02 0.1354016643 0.1966035440 0.280582516 0.387506870
[16,] 1.291567e-01 0.1788150120 0.2467893402 0.337097017 0.449345755
[17,] 1.753218e-01 0.2314368796 0.3047409974 0.399121957 0.513851601
[18,] 2.310440e-01 0.2926130195 0.3694407899 0.465433950 0.579708178
[19,] 2.946654e-01 0.3602229966 0.4385595449 0.533719678 0.644730508
[20,] 3.629169e-01 0.4306557315 0.5085040574 0.600665616 0.706004870
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[15,] 2.4743645 2.5831143 2.5706737 2.43778225 2.20677488 1.91477506 1.60262090
[16,] 2.6502485 2.7219376 2.6708098 2.50493444 2.25082421 1.94555983 1.62665129
[17,] 2.7952796 2.8298630 2.7446292 2.55283006 2.28243921 1.96834510 1.64392022
[18,] 2.9121782 2.9141853 2.8025350 2.59285547 2.31198786 1.99124879 1.66008070
[19,] 3.0037781 2.9809121 2.8520049 2.63209934 2.34485207 2.01756154 1.67682836
[20,] 3.0711335 3.0325505 2.8953824 2.67144911 2.38000034 2.04479328 1.69128114
[21,] 3.1128272 3.0674619 2.9294962 2.70561084 2.41039822 2.06532834 1.69666254
[22,] 3.1257259 3.0809050 2.9471067 2.72495585 2.42511219 2.06854433 1.68417981
[23,] 3.1068368 3.0672952 2.9396159 2.71858602 2.41249878 2.04382926 1.64560522
[24,] 3.0554929 3.0228222 2.9001262 2.67767875 2.36355817 1.98363606 1.57579726
[25,] 2.9749631 2.9474769 2.8258613 2.59811066 2.27447485 1.88567016 1.47437561
[26,] 2.8727889 2.8457682 2.7192029 2.48160703 2.14762931 1.75358040 1.34604282
[27,] 2.7595865 2.7258666 2.5870704 2.33515969 1.99087800 1.59603663 1.19952815
[28,] 2.6465991 2.5974664 2.4389480 2.16905232 1.81549309 1.42463379 1.04561127
[29,] 2.5427514 2.4691263 2.2843361 1.99429410 1.63357840 1.25141877 0.89494950
[30,] 2.4521974 2.3460591 2.1305830 1.82040396 1.45586068 1.08685071 0.75638404
[31,] 2.3732537 2.2291876 1.9818577 1.65424039 1.29046722 0.93869216 0.63608934
[32,] 2.2991681 2.1158029 1.8395100 1.50005433 1.14279693 0.81186646 0.53753478
[33,] 2.2205274 2.0015236 1.7034658 1.36039366 1.01611623 0.70892714 0.46193313
[34,] 2.1284937 1.8827281 1.5738767 1.23716267 0.91227985 0.63063808 0.40877241
[35,] 2.0177315 1.7584498 1.4521823 1.13217070 0.83206628 0.57628303 0.37615506
[36,] 1.8879995 1.6309696 1.3410716 1.04685635 0.77495250 0.54361273 0.36090093
[37,] 1.7439057 1.5049116 1.2433785 0.98135435 0.73853831 0.52862664 0.35857290
[38,] 1.5930351 1.3852893 1.1604670 0.93345120 0.71808133 0.52553590 0.36366278
[39,] 1.4432701 1.2753764 1.0909085 0.89807417 0.70660065 0.52719821 0.37010391
[40,] 1.3003630 1.1753181 1.0301317 0.86774236 0.69576588 0.52609639 0.37210415
[41,] 1.1666286 1.0820403 0.9712972 0.83398704 0.67742868 0.51566163 0.36511058
[42,] 1.0410979 0.9904529 0.9071235 0.78931960 0.64534730 0.49155015 0.34661383
[43,] 0.9208675 0.8954128 0.8319950 0.72907816 0.59653658 0.45245575 0.31652379
[44,] 0.8029577 0.7936535 0.7435866 0.65252091 0.53179559 0.40018971 0.27698731
[45,] 0.6858930 0.6849670 0.6434571 0.56282478 0.45526211 0.33901533 0.23170953
[46,] 0.5704537 0.5722839 0.5364810 0.46605275 0.37318254 0.27447291 0.18499978
[47,] 0.4594520 0.4607478 0.4294119 0.36949703 0.29232712 0.21207348 0.14082891
[48,] 0.3567830 0.3562251 0.3291272 0.27995892 0.21853803 0.15623027 0.10214214
[49,] 0.2662135 0.2638139 0.2411224 0.20245517 0.15577597 0.10966110 0.07055103
[50,] 0.1903729 0.1868067 0.1686329 0.13961352 0.10580708 0.07330768 0.04639155
           [,43]      [,44]       [,45]       [,46]       [,47]        [,48]
 [1,] 0.05676930 0.04648468 0.035693351 0.025750803 0.017602241 0.0115539550
 [2,] 0.09202546 0.07475690 0.056952566 0.040895522 0.027980466 0.0185099386
 [3,] 0.14275466 0.11497138 0.086980746 0.062295943 0.042783836 0.0286007695
 [4,] 0.21185885 0.16918126 0.127290263 0.091155178 0.063020074 0.0426617342
 [5,] 0.30087278 0.23841297 0.178740753 0.128328185 0.089540326 0.0614604544
 [6,] 0.40917133 0.32215433 0.241210183 0.174085957 0.122841268 0.0855183735
 [7,] 0.53346972 0.41805697 0.313375694 0.227899716 0.162833863 0.1148825042
 [8,] 0.66785311 0.52198008 0.392665239 0.288280417 0.208612818 0.1488877062
 [9,] 0.80444562 0.62841669 0.475406140 0.352715447 0.258290153 0.1859835203
[10,] 0.93462906 0.73123271 0.557159288 0.417751034 0.308977826 0.2237171612
[11,] 1.05053619 0.82456559 0.633205822 0.479269339 0.357001383 0.2589486264
[12,] 1.14644121 0.90369392 0.699136278 0.532979799 0.398376689 0.2883117778
[13,] 1.21969199 0.96570547 0.751467257 0.575076281 0.429488835 0.3088413977
[14,] 1.27095462 1.00983045 0.788169329 0.602919387 0.447807293 0.3185976483
[15,] 1.30371103 1.03735430 0.808953618 0.615534808 0.452410633 0.3170854521
[16,] 1.32311288 1.05107953 0.815173114 0.613726268 0.444122691 0.3053154008
[17,] 1.33443286 1.05440007 0.809289358 0.599715647 0.425190021 0.2854768634
[18,] 1.34146126 1.05018077 0.794018445 0.576405579 0.398606013 0.2603387615
[19,] 1.34526449 1.03976384 0.771436859 0.546529306 0.367329133 0.2325923377
[20,] 1.34370283 1.02246696 0.742395913 0.512013030 0.333676628 0.2043550553
[21,] 1.33194512 0.99582420 0.706498907 0.473783733 0.299081747 0.1769664860
[22,] 1.30392454 0.95656373 0.662665587 0.432053488 0.264233060 0.1510751790
[23,] 1.25433366 0.90200941 0.610046216 0.386898312 0.229453248 0.1269040537
[24,] 1.18051781 0.83139409 0.548891132 0.338835747 0.195100011 0.1045396462
[25,] 1.08362562 0.74659047 0.481010828 0.289139715 0.161807061 0.0841236481
[26,] 0.96864216 0.65200141 0.409655740 0.239780928 0.130492633 0.0659013963
[27,] 0.84335108 0.55369114 0.338899700 0.193060236 0.102182030 0.0501570522
[28,] 0.71665555 0.45811891 0.272799386 0.151120804 0.077761221 0.0371050310
[29,] 0.59686087 0.37093158 0.214644545 0.115538311 0.057779005 0.0268037412
[30,] 0.49043142 0.29616745 0.166518298 0.087114248 0.042364766 0.0191265420
[31,] 0.40145480 0.23599675 0.129221369 0.065888368 0.031263245 0.0137883926
[32,] 0.33173540 0.19090225 0.102470271 0.051301756 0.023942308 0.0104039556
[33,] 0.28123734 0.16007906 0.085212221 0.042410609 0.019717230 0.0085487454
[34,] 0.24857003 0.14183781 0.075918877 0.038071525 0.017850944 0.0078048562
[35,] 0.23132725 0.13389227 0.072792055 0.037065741 0.017616954 0.0077869261
[36,] 0.22626455 0.13353271 0.073890710 0.038173416 0.018334108 0.0081543831
[37,] 0.22943171 0.13776545 0.077231826 0.040230112 0.019391234 0.0086190518
[38,] 0.23641220 0.14351041 0.080917285 0.042193135 0.020275206 0.0089540962
[39,] 0.24275581 0.14789694 0.083303825 0.043224048 0.020604191 0.0090044636
[40,] 0.24456951 0.14862170 0.083188923 0.042770453 0.020156925 0.0086943795
[41,] 0.23912069 0.14427183 0.079956236 0.040617832 0.018884491 0.0080262894
[42,] 0.22526211 0.13450352 0.073624591 0.036886456 0.016894946 0.0070681179
[43,] 0.20352872 0.12000460 0.064773096 0.031966004 0.014410601 0.0059301469
[44,] 0.17586460 0.10224254 0.054357452 0.026402608 0.011707807 0.0047368400
[45,] 0.14506321 0.08307110 0.043469133 0.020769022 0.009055030 0.0036006732
[46,] 0.11409284 0.06431043 0.033104257 0.015552049 0.006664472 0.0026039141
[47,] 0.08549736 0.04741134 0.023998522 0.011082083 0.004666529 0.0017911460
[48,] 0.06101248 0.03327257 0.016556006 0.007513076 0.003108100 0.0011717423
[49,] 0.04144778 0.02222158 0.010866850 0.004845088 0.001968826 0.0007289182
[50,] 0.02679705 0.01412076 0.006785103 0.002971757 0.001185990 0.0004311499
             [,49]        [,50]
 [1,] 0.0073920837 4.658756e-03
 [2,] 0.0120041699 7.683214e-03
 [3,] 0.0188246541 1.222378e-02
 [4,] 0.0285034061 1.874068e-02
 [5,] 0.0416471975 2.765029e-02
 [6,] 0.0586645317 3.920264e-02
 [7,] 0.0795687442 5.333423e-02
 [8,] 0.1037821298 6.953449e-02
 [9,] 0.1300105534 8.677996e-02
[10,] 0.1562645676 1.035877e-01
[11,] 0.1800778123 1.182119e-01
[12,] 0.1989127405 1.289589e-01
[13,] 0.2106671783 1.345439e-01
[14,] 0.2141361624 1.343814e-01
[15,] 0.2092767417 1.287133e-01
[16,] 0.1971806093 1.185275e-01
[17,] 0.1797625339 1.052980e-01
[18,] 0.1592751902 9.063417e-02
[19,] 0.1378168303 7.595610e-02
[20,] 0.1169828145 6.228513e-02
[21,] 0.0977374019 5.018571e-02
[22,] 0.0804890791 3.983513e-02
[23,] 0.0652837770 3.116053e-02
[24,] 0.0520116717 2.397806e-02
[25,] 0.0405515105 1.809071e-02
[26,] 0.0308266491 1.333243e-02
[27,] 0.0227916536 9.570578e-03
[28,] 0.0163894193 6.689252e-03
[29,] 0.0115148710 4.572702e-03
[30,] 0.0080034735 3.098399e-03
[31,] 0.0056437758 2.139893e-03
[32,] 0.0042024292 1.574616e-03
[33,] 0.0034489001 1.291401e-03
[34,] 0.0031723240 1.194878e-03
[35,] 0.0031894822 1.206606e-03
[36,] 0.0033471541 1.264360e-03
[37,] 0.0035228880 1.321162e-03
[38,] 0.0036264975 1.344761e-03
[39,] 0.0036020350 1.317338e-03
[40,] 0.0034282863 1.234645e-03
[41,] 0.0031157047 1.103876e-03
[42,] 0.0026989856 9.401490e-04
[43,] 0.0022263152 7.621414e-04
[44,] 0.0017477243 5.878226e-04
[45,] 0.0013053034 4.312329e-04
[46,] 0.0009272665 3.008529e-04
[47,] 0.0006264444 1.995795e-04
[48,] 0.0004024315 1.258788e-04
[49,] 0.0002458044 7.547926e-05
[50,] 0.0001427378 4.302385e-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  
    133.179       -3.919  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7nu8g1257589346.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]  5.985256  6.100143  6.215031  6.329918  6.444806  6.559693  6.674581
 [8]  6.789468  6.904356  7.019243  7.134131  7.249018  7.363906  7.478793
[15]  7.593681  7.708568  7.823456  7.938344  8.053231  8.168119  8.283006
[22]  8.397894  8.512781  8.627669  8.742556  8.857444  8.972331  9.087219
[29]  9.202106  9.316994  9.431881  9.546769  9.661656  9.776544  9.891432
[36] 10.006319 10.121207 10.236094 10.350982 10.465869 10.580757 10.695644
[43] 10.810532 10.925419 11.040307 11.155194 11.270082 11.384969 11.499857
[50] 11.614744

$yords
 [1]  75.50246  76.56971  77.63695  78.70420  79.77145  80.83869  81.90594
 [8]  82.97319  84.04043  85.10768  86.17493  87.24217  88.30942  89.37666
[15]  90.44391  91.51116  92.57840  93.64565  94.71290  95.78014  96.84739
[22]  97.91464  98.98188 100.04913 101.11638 102.18362 103.25087 104.31812
[29] 105.38536 106.45261 107.51986 108.58710 109.65435 110.72160 111.78884
[36] 112.85609 113.92334 114.99058 116.05783 117.12507 118.19232 119.25957
[43] 120.32681 121.39406 122.46131 123.52855 124.59580 125.66305 126.73029
[50] 127.79754

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 6.380099e-18 5.316699e-17 4.032395e-16 2.785074e-15 1.753182e-14
 [2,] 7.052229e-17 5.695069e-16 4.185203e-15 2.800152e-14 1.706864e-13
 [3,] 6.913286e-16 5.409338e-15 3.851380e-14 2.496113e-13 1.473463e-12
 [4,] 6.015431e-15 4.559159e-14 3.144249e-13 1.973736e-12 1.128248e-11
 [5,] 4.651858e-14 3.413436e-13 2.279376e-12 1.385439e-11 7.667665e-11
 [6,] 3.203317e-13 2.273976e-12 1.469369e-11 8.643382e-11 4.629729e-10
 [7,] 1.969771e-12 1.351258e-11 8.440940e-11 4.801530e-10 2.487530e-09
 [8,] 1.085985e-11 7.187825e-11 4.334698e-10 2.381599e-09 1.192175e-08
 [9,] 5.397630e-11 3.439641e-10 1.998770e-09 1.058932e-08 5.114378e-08
[10,] 2.435398e-10 1.490371e-09 8.325118e-09 4.243656e-08 1.973624e-07
[11,] 1.005477e-09 5.892490e-09 3.155408e-08 1.543541e-07 6.895815e-07
[12,] 3.827974e-09 2.143030e-08 1.097263e-07 5.137206e-07 2.198827e-06
[13,] 1.351598e-08 7.217967e-08 3.527196e-07 1.577167e-06 6.452563e-06
[14,] 4.434863e-08 2.259465e-07 1.053355e-06 4.494373e-06 1.755302e-05
[15,] 1.349094e-07 6.568467e-07 2.924994e-06 1.191767e-05 4.444451e-05
[16,] 3.782459e-07 1.764842e-06 7.526025e-06 2.934778e-05 1.047029e-04
[17,] 9.699679e-07 4.350907e-06 1.782456e-05 6.673018e-05 2.284307e-04
[18,] 2.257736e-06 9.765310e-06 3.855440e-05 1.390255e-04 4.581745e-04
[19,] 4.738985e-06 1.981428e-05 7.559668e-05 2.633421e-04 8.381553e-04
[20,] 8.925279e-06 3.614487e-05 1.335537e-04 4.505223e-04 1.388446e-03
[21,] 1.503107e-05 5.904437e-05 2.116364e-04 6.926247e-04 2.071141e-03
[22,] 2.259746e-05 8.618122e-05 2.999972e-04 9.537726e-04 2.771436e-03
[23,] 3.038205e-05 1.124767e-04 3.803378e-04 1.175341e-03 3.321426e-03
[24,] 3.704528e-05 1.325702e-04 4.343133e-04 1.302484e-03 3.576522e-03
[25,] 4.354540e-05 1.476454e-04 4.620500e-04 1.331409e-03 3.527542e-03
[26,] 5.970840e-05 1.810740e-04 5.168161e-04 1.380324e-03 3.432832e-03
[27,] 1.219497e-04 3.158311e-04 7.768517e-04 1.813091e-03 4.003202e-03
[28,] 3.374289e-04 7.805758e-04 1.696697e-03 3.475749e-03 6.720443e-03
[29,] 9.769529e-04 2.117247e-03 4.277638e-03 8.081157e-03 1.430430e-02
[30,] 2.626825e-03 5.426783e-03 1.041332e-02 1.861506e-02 3.106922e-02
[31,] 6.350011e-03 1.257144e-02 2.306341e-02 3.933277e-02 6.251829e-02
[32,] 1.369248e-02 2.603208e-02 4.577296e-02 7.468179e-02 1.134050e-01
[33,] 2.627845e-02 4.804353e-02 8.108675e-02 1.267698e-01 1.842006e-01
[34,] 4.484679e-02 7.893808e-02 1.280540e-01 1.921059e-01 2.674989e-01
[35,] 6.801853e-02 1.153959e-01 1.801661e-01 2.597689e-01 3.472759e-01
[36,] 9.164342e-02 1.500235e-01 2.257593e-01 3.134282e-01 4.032721e-01
[37,] 1.096538e-01 1.734152e-01 2.519369e-01 3.375819e-01 4.194586e-01
[38,] 1.165022e-01 1.782295e-01 2.504819e-01 3.249439e-01 3.918075e-01
[39,] 1.099185e-01 1.629325e-01 2.221003e-01 2.801617e-01 3.301137e-01
[40,] 9.213261e-02 1.326156e-01 1.759933e-01 2.172123e-01 2.526083e-01
[41,] 6.866892e-02 9.628219e-02 1.250691e-01 1.523798e-01 1.772680e-01
[42,] 4.558695e-02 6.255177e-02 8.015754e-02 9.759027e-02 1.154409e-01
[43,] 2.703237e-02 3.654816e-02 4.671244e-02 5.770677e-02 7.058332e-02
[44,] 1.438292e-02 1.934926e-02 2.501881e-02 3.188205e-02 4.082869e-02
[45,] 6.912887e-03 9.375709e-03 1.246335e-02 1.660674e-02 2.234858e-02
[46,] 3.029527e-03 4.207392e-03 5.834107e-03 8.176322e-03 1.149037e-02
[47,] 1.224539e-03 1.768142e-03 2.578484e-03 3.785687e-03 5.482986e-03
[48,] 4.618749e-04 7.005931e-04 1.073031e-03 1.630950e-03 2.398387e-03
[49,] 1.639560e-04 2.616455e-04 4.166649e-04 6.459396e-04 9.524803e-04
[50,] 5.488739e-05 9.143316e-05 1.492156e-04 2.328287e-04 3.418434e-04
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.007047e-13 5.287371e-13 2.543451e-12 1.124666e-11 4.591928e-11
 [2,] 9.488592e-13 4.817378e-12 2.238171e-11 9.542073e-11 3.746877e-10
 [3,] 7.928741e-12 3.893888e-11 1.748294e-10 7.193119e-10 2.720605e-09
 [4,] 5.877091e-11 2.792563e-10 1.212140e-09 4.815992e-09 1.756265e-08
 [5,] 3.866200e-10 1.777522e-09 7.460767e-09 2.863756e-08 1.007629e-07
 [6,] 2.259081e-09 1.004863e-08 4.078666e-08 1.512858e-07 5.138441e-07
 [7,] 1.174050e-08 5.050822e-08 1.982205e-07 7.105154e-07 2.330183e-06
 [8,] 5.438101e-08 2.261262e-07 8.576812e-07 2.970305e-06 9.406078e-06
 [9,] 2.251923e-07 9.041621e-07 3.311840e-06 1.107537e-05 3.385577e-05
[10,] 8.373915e-07 3.241662e-06 1.145269e-05 3.694854e-05 1.089559e-04
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 [1,] 3.159119e-03 1.576724e-03
 [2,] 5.455337e-03 2.638799e-03
 [3,] 8.348830e-03 3.913961e-03
 [4,] 1.132832e-02 5.149301e-03
 [5,] 1.364881e-02 6.026362e-03
 [6,] 1.467669e-02 6.336859e-03
 [7,] 1.432852e-02 6.189002e-03
 [8,] 1.339765e-02 6.168344e-03
 [9,] 1.365194e-02 7.415150e-03
[10,] 1.769812e-02 1.158125e-02
[11,] 2.854856e-02 2.053746e-02
[12,] 4.866673e-02 3.564215e-02
[13,] 7.839818e-02 5.660074e-02
[14,] 1.143620e-01 8.048062e-02
[15,] 1.491195e-01 1.018415e-01
[16,] 1.732387e-01 1.145409e-01
[17,] 1.793120e-01 1.145484e-01
[18,] 1.656680e-01 1.020459e-01
[19,] 1.372879e-01 8.135252e-02
[20,] 1.033033e-01 5.874256e-02
[21,] 7.281926e-02 3.966176e-02
[22,] 5.157964e-02 2.695154e-02
[23,] 4.085246e-02 2.065351e-02
[24,] 3.828441e-02 1.891386e-02
[25,] 3.970291e-02 1.920469e-02
[26,] 4.098631e-02 1.934547e-02
[27,] 3.946634e-02 1.811140e-02
[28,] 3.451879e-02 1.535974e-02
[29,] 2.722925e-02 1.172136e-02
[30,] 1.942163e-02 8.068319e-03
[31,] 1.264848e-02 5.055235e-03
[32,] 7.655820e-03 2.931866e-03
[33,] 4.425212e-03 1.616665e-03
[34,] 2.533427e-03 8.810833e-04
[35,] 1.502956e-03 5.007680e-04
[36,] 9.791947e-04 3.195275e-04
[37,] 7.490106e-04 2.470603e-04
[38,] 6.884932e-04 2.326017e-04
[39,] 7.111415e-04 2.427614e-04
[40,] 7.452101e-04 2.523079e-04
[41,] 7.372115e-04 2.446563e-04
[42,] 6.639550e-04 2.147328e-04
[43,] 5.357572e-04 1.684169e-04
[44,] 3.847029e-04 1.174080e-04
[45,] 2.451054e-04 7.258656e-05
[46,] 1.383905e-04 3.975951e-05
[47,] 6.920658e-05 1.928717e-05
[48,] 3.064572e-05 8.284318e-06
[49,] 1.201506e-05 3.150426e-06
[50,] 4.170552e-06 1.060692e-06

> 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  
    128.676       -2.652  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1344g1257589346.ps tmp/1344g1257589346.png")
> system("convert tmp/2xqjt1257589346.ps tmp/2xqjt1257589346.png")
> system("convert tmp/3e44k1257589346.ps tmp/3e44k1257589346.png")
> system("convert tmp/4dgnz1257589346.ps tmp/4dgnz1257589346.png")
> system("convert tmp/566yg1257589346.ps tmp/566yg1257589346.png")
> system("convert tmp/6mwb31257589346.ps tmp/6mwb31257589346.png")
> system("convert tmp/7nu8g1257589346.ps tmp/7nu8g1257589346.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.190   1.750   3.099