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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> z <- c(0.8721,0.8552,0.8564,0.8973,0.9383,0.9217,0.9095,0.892,0.8742,0.8532,0.8607,0.9005,0.9111,0.9059,0.8883,0.8924,0.8833,0.87,0.8758,0.8858,0.917,0.9554,0.9922,0.9778,0.9808,0.9811,1.0014,1.0183,1.0622,1.0773,1.0807,1.0848,1.1582,1.1663,1.1372,1.1139,1.1222,1.1692,1.1702,1.2286,1.2613,1.2646,1.2262,1.1985,1.2007,1.2138,1.2266,1.2176,1.2218,1.249,1.2991,1.3408,1.3119,1.3014,1.3201,1.2938,1.2694,1.2165,1.2037,1.2292,1.2256,1.2015,1.1786,1.1856,1.2103,1.1938,1.202,1.2271,1.277,1.265,1.2684,1.2811,1.2727,1.2611,1.2881,1.3213,1.2999,1.3074,1.3242,1.3516,1.3511,1.3419,1.3716,1.3622,1.3896,1.4227,1.4684,1.457,1.4718,1.4748,1.5527,1.575,1.5557,1.5553,1.577,1.4975,1.4369)
> y <- c(1593,1477.9,1733.7,1569.7,1843.7,1950.3,1657.5,1772.1,1568.3,1809.8,1646.7,1808.5,1763.9,1625.5,1538.8,1342.4,1645.1,1619.9,1338.1,1505.5,1529.1,1511.9,1656.7,1694.4,1662.3,1588.7,1483.3,1585.6,1658.9,1584.4,1470.6,1618.7,1407.6,1473.9,1515.3,1485.4,1496.1,1493.5,1298.4,1375.3,1507.9,1455.3,1363.3,1392.8,1348.8,1880.3,1669.2,1543.6,1701.2,1516.5,1466.8,1484.1,1577.2,1684.5,1414.7,1674.5,1598.7,1739.1,1674.6,1671.8,1802,1526.8,1580.9,1634.8,1610.3,1712,1678.8,1708.1,1680.6,2056,1624,2021.4,1861.1,1750.8,1767.5,1710.3,2151.5,2047.9,1915.4,1984.7,1896.5,2170.8,2139.9,2330.5,2121.8,2226.8,1857.9,2155.9,2341.7,2290.2,2006.5,2111.9,1731.3,1762.2,1863.2,1943.5,1975.2)
> x <- c(1045.9,1401.9,1027.6,1703.8,1481.3,1422.7,1304.7,1246.1,1417.8,1459.1,1156.4,1304.5,1336.9,1372.3,975.5,1180.8,1361.3,1428.1,1355.9,1781.2,1697,1852,1844.1,1967.2,1747.1,1863.9,1559.3,1675,2237.5,1965.2,1871.5,1752.2,1360.7,1444.3,1621.6,1368,1553.9,1695.3,1397.1,1848.4,1809.2,1551.1,1546.6,1467.9,1662.4,1972.3,1673.5,1762,2019.8,1754.3,1400.4,1453.6,1740.9,1694.6,1541.2,1482.3,1632.1,1837.3,1797,2066.2,1983.8,1601.7,1660.3,1954,1991.9,1881.4,2345.5,1773.1,1719.2,2240.9,1816.4,2171.3,1823.3,2022.5,1991,1920,2168.4,2013.5,1790.8,1855.7,2074,2535.8,1837.2,1805.1,1785.7,2250,1959.7,1890.8,2405.7,2090.3,1666.5,1803.5,1793.8,1488.8,1545,1369.9,1451.6)
> par7 = 'Wisselkoers dollar / euro'
> par6 = 'Invoer vanuit Amerika'
> par5 = 'Uitvoer naar Amerika'
> 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/freestat/rcomp/tmp/10jst1226408654.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/freestat/rcomp/tmp/20hvp1226408654.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/freestat/rcomp/tmp/3ap5q1226408654.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/freestat/rcomp/tmp/49m021226408654.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/freestat/rcomp/tmp/5q3q21226408654.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  
  1072.9718       0.3714  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6ldgw1226408654.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] 1171.767 1198.228 1224.688 1251.149 1277.609 1304.070 1330.530 1356.991
 [9] 1383.451 1409.912 1436.372 1462.833 1489.293 1515.754 1542.214 1568.675
[17] 1595.136 1621.596 1648.057 1674.517 1700.978 1727.438 1753.899 1780.359
[25] 1806.820 1833.280 1859.741 1886.201 1912.662 1939.122 1965.583 1992.043
[33] 2018.504 2044.964 2071.425 2097.886 2124.346 2150.807 2177.267 2203.728
[41] 2230.188 2256.649 2283.109 2309.570 2336.030 2362.491 2388.951 2415.412
[49] 2441.872 2468.333

$yords
 [1] 0.7793961 0.7971799 0.8149638 0.8327476 0.8505314 0.8683153 0.8860991
 [8] 0.9038829 0.9216668 0.9394506 0.9572344 0.9750183 0.9928021 1.0105859
[15] 1.0283698 1.0461536 1.0639374 1.0817213 1.0995051 1.1172889 1.1350728
[22] 1.1528566 1.1706404 1.1884243 1.2062081 1.2239919 1.2417757 1.2595596
[29] 1.2773434 1.2951272 1.3129111 1.3306949 1.3484787 1.3662626 1.3840464
[36] 1.4018302 1.4196141 1.4373979 1.4551817 1.4729656 1.4907494 1.5085332
[43] 1.5263171 1.5441009 1.5618847 1.5796686 1.5974524 1.6152362 1.6330201
[50] 1.6508039

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 1.304121e-02 2.018962e-02 2.655751e-02 2.964993e-02 2.808332e-02
 [2,] 1.862804e-02 3.070247e-02 4.314746e-02 5.157143e-02 5.236017e-02
 [3,] 2.395390e-02 4.164729e-02 6.219110e-02 7.933042e-02 8.618759e-02
 [4,] 2.841103e-02 5.119076e-02 8.031783e-02 1.086041e-01 1.257684e-01
 [5,] 3.238885e-02 5.874765e-02 9.483637e-02 1.340836e-01 1.641277e-01
 [6,] 3.738245e-02 6.600502e-02 1.062104e-01 1.532301e-01 1.950038e-01
 [7,] 4.522663e-02 7.644843e-02 1.189211e-01 1.694003e-01 2.180776e-01
 [8,] 5.688232e-02 9.335887e-02 1.394333e-01 1.913596e-01 2.414436e-01
 [9,] 7.168063e-02 1.176089e-01 1.722639e-01 2.285908e-01 2.783185e-01
[10,] 8.760846e-02 1.469055e-01 2.169204e-01 2.853356e-01 3.393401e-01
[11,] 1.023332e-01 1.769495e-01 2.678962e-01 3.576073e-01 4.256771e-01
[12,] 1.140877e-01 2.033928e-01 3.173639e-01 4.350147e-01 5.277018e-01
[13,] 1.218619e-01 2.230759e-01 3.581965e-01 5.053751e-01 6.294297e-01
[14,] 1.251738e-01 2.341393e-01 3.854100e-01 5.585446e-01 7.147181e-01
[15,] 1.240396e-01 2.358637e-01 3.962931e-01 5.879145e-01 7.713065e-01
[16,] 1.192642e-01 2.290036e-01 3.906734e-01 5.908736e-01 7.923573e-01
[17,] 1.125049e-01 2.161768e-01 3.716476e-01 5.697242e-01 7.775582e-01
[18,] 1.056312e-01 2.012295e-01 3.453504e-01 5.321537e-01 7.342664e-01
[19,] 9.967298e-02 1.873935e-01 3.185641e-01 4.890153e-01 6.762761e-01
[20,] 9.420658e-02 1.754918e-01 2.952234e-01 4.492887e-01 6.183100e-01
[21,] 8.772298e-02 1.636938e-01 2.745085e-01 4.155004e-01 5.686719e-01
[22,] 7.871149e-02 1.490573e-01 2.521537e-01 3.833537e-01 5.255874e-01
[23,] 6.668605e-02 1.296667e-01 2.239150e-01 3.459263e-01 4.803999e-01
[24,] 5.253272e-02 1.059109e-01 1.885791e-01 2.990531e-01 4.250251e-01
[25,] 3.807634e-02 8.027821e-02 1.486679e-01 2.440426e-01 3.578203e-01
[26,] 2.522575e-02 5.607445e-02 1.089195e-01 1.865518e-01 2.841354e-01
[27,] 1.522353e-02 3.597474e-02 7.394619e-02 1.333010e-01 2.124924e-01
[28,] 8.363280e-03 2.118778e-02 4.652425e-02 8.913932e-02 1.500709e-01
[29,] 4.189145e-03 1.147365e-02 2.716948e-02 5.589367e-02 1.003953e-01
[30,] 1.919200e-03 5.726783e-03 1.474861e-02 3.287636e-02 6.360748e-02
[31,] 8.069671e-04 2.639497e-03 7.439441e-03 1.808686e-02 3.796045e-02
[32,] 3.121140e-04 1.123178e-03 3.475760e-03 9.245531e-03 2.112622e-02
[33,] 1.110209e-04 4.399180e-04 1.494973e-03 4.351066e-03 1.083054e-02
[34,] 3.620489e-05 1.577045e-04 5.872871e-04 1.866445e-03 5.053904e-03
[35,] 1.076456e-05 5.137688e-05 2.089712e-04 7.230723e-04 2.125140e-03
[36,] 2.898403e-06 1.509918e-05 6.684224e-05 2.510627e-04 7.990860e-04
[37,] 7.019672e-07 3.976828e-06 1.910009e-05 7.767485e-05 2.672052e-04
[38,] 1.520142e-07 9.336361e-07 4.852441e-06 2.132222e-05 7.915533e-05
[39,] 2.929390e-08 1.945753e-07 1.092209e-06 5.177778e-06 2.071938e-05
[40,] 5.005134e-09 3.588880e-08 2.172680e-07 1.110000e-06 4.783932e-06
[41,] 7.562256e-10 5.846091e-09 3.813155e-08 2.097816e-07 9.732127e-07
[42,] 1.008491e-10 8.397774e-10 5.897424e-09 3.491971e-08 1.743077e-07
[43,] 1.185544e-11 1.062714e-10 8.031315e-10 5.116379e-09 2.747235e-08
[44,] 1.227448e-12 1.183925e-11 9.625541e-11 6.595720e-10 3.808926e-09
[45,] 1.118581e-13 1.160609e-12 1.014899e-11 7.479092e-11 4.644534e-10
[46,] 8.968828e-15 1.000846e-13 9.411873e-13 7.458347e-12 4.980264e-11
[47,] 6.325400e-16 7.590597e-15 7.675629e-14 6.540163e-13 4.695592e-12
[48,] 3.923276e-17 5.062388e-16 5.504195e-15 5.042601e-14 3.892530e-13
[49,] 2.139754e-18 2.968682e-17 3.470429e-16 3.418343e-15 2.836988e-14
[50,] 1.026118e-19 1.530643e-18 1.923807e-17 2.037305e-16 1.817838e-15
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 2.256885e-02 1.540298e-02 8.953823e-03 4.476910e-03 1.998009e-03
 [2,] 4.514590e-02 3.308461e-02 2.066993e-02 1.111390e-02 5.312593e-03
 [3,] 7.965989e-02 6.266751e-02 4.209113e-02 2.436569e-02 1.252183e-02
 [4,] 1.243459e-01 1.049142e-01 7.575874e-02 4.726795e-02 2.620092e-02
 [5,] 1.727512e-01 1.559446e-01 1.209796e-01 8.142606e-02 4.882817e-02
 [6,] 2.162734e-01 2.076810e-01 1.726514e-01 1.253462e-01 8.151057e-02
 [7,] 2.499479e-01 2.522201e-01 2.232056e-01 1.743639e-01 1.230452e-01
 [8,] 2.777978e-01 2.882330e-01 2.677586e-01 2.233496e-01 1.704967e-01
 [9,] 3.128968e-01 3.245023e-01 3.092536e-01 2.710996e-01 2.215799e-01
[10,] 3.706264e-01 3.765907e-01 3.589499e-01 3.229864e-01 2.773019e-01
[11,] 4.591541e-01 4.577323e-01 4.304607e-01 3.888060e-01 3.423101e-01
[12,] 5.737514e-01 5.700202e-01 5.308179e-01 4.763695e-01 4.217778e-01
[13,] 6.984959e-01 7.019477e-01 6.548087e-01 5.851839e-01 5.166566e-01
[14,] 8.130681e-01 8.331931e-01 7.862165e-01 7.047056e-01 6.208049e-01
[15,] 8.994124e-01 9.422831e-01 9.041259e-01 8.178654e-01 7.219733e-01
[16,] 9.453587e-01 1.012361e+00 9.895405e-01 9.067295e-01 8.054658e-01
[17,] 9.463554e-01 1.034143e+00 1.029556e+00 9.570228e-01 8.579056e-01
[18,] 9.070883e-01 1.007966e+00 1.019943e+00 9.611132e-01 8.700842e-01
[19,] 8.416194e-01 9.451440e-01 9.673277e-01 9.206750e-01 8.397230e-01
[20,] 7.689194e-01 8.655918e-01 8.890671e-01 8.483095e-01 7.741514e-01
[21,] 7.040583e-01 7.897053e-01 8.075624e-01 7.648973e-01 6.903270e-01
[22,] 6.506689e-01 7.281422e-01 7.397936e-01 6.911147e-01 6.094158e-01
[23,] 6.008790e-01 6.771561e-01 6.887172e-01 6.371428e-01 5.472143e-01
[24,] 5.430092e-01 6.237091e-01 6.436273e-01 5.981473e-01 5.064753e-01
[25,] 4.707917e-01 5.564010e-01 5.896925e-01 5.596196e-01 4.771514e-01
[26,] 3.872474e-01 4.735447e-01 5.191049e-01 5.086378e-01 4.447064e-01
[27,] 3.016459e-01 3.830052e-01 4.354069e-01 4.422799e-01 4.001285e-01
[28,] 2.234611e-01 2.958117e-01 3.491310e-01 3.674826e-01 3.442952e-01
[29,] 1.582213e-01 2.197725e-01 2.700533e-01 2.942837e-01 2.846457e-01
[30,] 1.071084e-01 1.574340e-01 2.026395e-01 2.291813e-01 2.284908e-01
[31,] 6.883330e-02 1.079667e-01 1.467779e-01 1.734625e-01 1.789150e-01
[32,] 4.144724e-02 6.981252e-02 1.010360e-01 1.258835e-01 1.354730e-01
[33,] 2.302950e-02 4.180166e-02 6.477162e-02 8.576064e-02 9.724432e-02
[34,] 1.164402e-02 2.280600e-02 3.795906e-02 5.371081e-02 6.468995e-02
[35,] 5.298733e-03 1.119855e-02 2.005225e-02 3.042248e-02 3.913219e-02
[36,] 2.153041e-03 4.907377e-03 9.458096e-03 1.541253e-02 2.124146e-02
[37,] 7.769620e-04 1.908569e-03 3.959318e-03 6.935531e-03 1.025961e-02
[38,] 2.481212e-04 6.564623e-04 1.465561e-03 2.760523e-03 4.387129e-03
[39,] 6.995783e-05 1.992499e-04 4.786066e-04 9.694655e-04 1.655970e-03
[40,] 1.738856e-05 5.329332e-05 1.377059e-04 2.999629e-04 5.508162e-04
[41,] 3.806487e-06 1.255040e-05 3.487911e-05 8.169999e-05 1.612932e-04
[42,] 7.334062e-07 2.600843e-06 7.773138e-06 1.957818e-05 4.155586e-05
[43,] 1.243222e-07 4.741254e-07 1.523737e-06 4.126534e-06 9.416988e-06
[44,] 1.853620e-08 7.601475e-08 2.626762e-07 7.648563e-07 1.876591e-06
[45,] 2.430443e-09 1.071682e-08 3.981760e-08 1.246539e-07 3.288172e-07
[46,] 2.802165e-10 1.328489e-09 5.306880e-09 1.786212e-08 5.065662e-08
[47,] 2.840609e-11 1.447925e-10 6.218561e-10 2.250299e-09 6.861119e-09
[48,] 2.531748e-12 1.387446e-11 6.406430e-11 2.492405e-10 8.170001e-10
[49,] 1.983833e-13 1.168842e-12 5.802397e-12 2.426940e-11 8.552821e-11
[50,] 1.366647e-14 8.656803e-14 4.620170e-13 2.077574e-12 7.871408e-12
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[24,] 2.451825e-01 1.900828e-01 1.248344e-01 6.936822e-02 3.260041e-02
[25,] 2.486735e-01 2.038288e-01 1.419128e-01 8.370545e-02 4.178627e-02
[26,] 2.360045e-01 2.031497e-01 1.493842e-01 9.328506e-02 4.935686e-02
[27,] 2.131140e-01 1.903092e-01 1.469226e-01 9.682415e-02 5.418400e-02
[28,] 1.875997e-01 1.698838e-01 1.361171e-01 9.414894e-02 5.558086e-02
[29,] 1.670325e-01 1.478291e-01 1.201575e-01 8.620308e-02 5.339252e-02
[30,] 1.571066e-01 1.303660e-01 1.034903e-01 7.513781e-02 4.818413e-02
[31,] 1.596557e-01 1.222024e-01 9.086909e-02 6.410570e-02 4.138527e-02
[32,] 1.717160e-01 1.246561e-01 8.570793e-02 5.636993e-02 3.504213e-02
[33,] 1.867076e-01 1.350140e-01 8.863055e-02 5.401612e-02 3.109474e-02
[34,] 1.972067e-01 1.477263e-01 9.723202e-02 5.707581e-02 3.056785e-02
[35,] 1.975984e-01 1.566219e-01 1.071403e-01 6.358385e-02 3.317447e-02
[36,] 1.854382e-01 1.568851e-01 1.136148e-01 7.038791e-02 3.748639e-02
[37,] 1.616391e-01 1.462567e-01 1.129815e-01 7.421370e-02 4.147082e-02
[38,] 1.300023e-01 1.255488e-01 1.036894e-01 7.267995e-02 4.315584e-02
[39,] 9.612041e-02 9.840814e-02 8.683671e-02 6.510141e-02 4.129191e-02
[40,] 6.561513e-02 7.007042e-02 6.580460e-02 5.277300e-02 3.583006e-02
[41,] 4.233426e-02 4.540535e-02 4.489234e-02 3.842630e-02 2.794010e-02
[42,] 2.749029e-02 2.727293e-02 2.759208e-02 2.502232e-02 1.945931e-02
[43,] 2.007454e-02 1.608298e-02 1.550492e-02 1.457818e-02 1.206213e-02
[44,] 1.794387e-02 1.051214e-02 8.381286e-03 7.690663e-03 6.657427e-03
[45,] 1.875578e-02 8.602208e-03 4.926531e-03 3.840342e-03 3.304606e-03
[46,] 2.044086e-02 8.543031e-03 3.663216e-03 2.042712e-03 1.533132e-03
[47,] 2.141026e-02 8.982902e-03 3.418628e-03 1.374328e-03 7.424853e-04
[48,] 2.072955e-02 9.071959e-03 3.439689e-03 1.194303e-03 4.512135e-04
[49,] 1.823885e-02 8.433507e-03 3.331418e-03 1.142223e-03 3.625380e-04
[50,] 1.446603e-02 7.099066e-03 2.963390e-03 1.056676e-03 3.278484e-04

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

Call:
lm(formula = z ~ y)

Coefficients:
(Intercept)            y  
  0.4834465    0.0004067  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/70cnk1226408654.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]  808.1942  846.8659  885.5376  924.2092  962.8809 1001.5526 1040.2242
 [8] 1078.8959 1117.5675 1156.2392 1194.9109 1233.5825 1272.2542 1310.9259
[15] 1349.5975 1388.2692 1426.9409 1465.6125 1504.2842 1542.9558 1581.6275
[22] 1620.2992 1658.9708 1697.6425 1736.3142 1774.9858 1813.6575 1852.3292
[29] 1891.0008 1929.6725 1968.3442 2007.0158 2045.6875 2084.3591 2123.0308
[36] 2161.7025 2200.3741 2239.0458 2277.7175 2316.3891 2355.0608 2393.7325
[43] 2432.4041 2471.0758 2509.7474 2548.4191 2587.0908 2625.7624 2664.4341
[50] 2703.1058

$yords
 [1] 0.7793961 0.7971799 0.8149638 0.8327476 0.8505314 0.8683153 0.8860991
 [8] 0.9038829 0.9216668 0.9394506 0.9572344 0.9750183 0.9928021 1.0105859
[15] 1.0283698 1.0461536 1.0639374 1.0817213 1.0995051 1.1172889 1.1350728
[22] 1.1528566 1.1706404 1.1884243 1.2062081 1.2239919 1.2417757 1.2595596
[29] 1.2773434 1.2951272 1.3129111 1.3306949 1.3484787 1.3662626 1.3840464
[36] 1.4018302 1.4196141 1.4373979 1.4551817 1.4729656 1.4907494 1.5085332
[43] 1.5263171 1.5441009 1.5618847 1.5796686 1.5974524 1.6152362 1.6330201
[50] 1.6508039

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 2.180278e-02 3.137377e-02 3.948847e-02 4.349586e-02 4.186158e-02
 [2,] 3.287533e-02 4.942627e-02 6.487472e-02 7.449745e-02 7.486863e-02
 [3,] 4.434535e-02 6.968717e-02 9.537236e-02 1.140153e-01 1.192889e-01
 [4,] 5.397632e-02 8.860078e-02 1.263726e-01 1.571109e-01 1.707298e-01
 [5,] 6.012218e-02 1.028519e-01 1.526519e-01 1.970766e-01 2.219607e-01
 [6,] 6.252863e-02 1.110379e-01 1.709949e-01 2.287151e-01 2.663351e-01
 [7,] 6.233762e-02 1.142120e-01 1.817271e-01 2.510616e-01 3.014816e-01
 [8,] 6.155092e-02 1.151765e-01 1.881654e-01 2.674831e-01 3.304239e-01
 [9,] 6.245876e-02 1.174255e-01 1.949240e-01 2.834705e-01 3.593175e-01
[10,] 6.701864e-02 1.242297e-01 2.064359e-01 3.042152e-01 3.939141e-01
[11,] 7.588519e-02 1.374119e-01 2.256086e-01 3.329853e-01 4.371162e-01
[12,] 8.738818e-02 1.556746e-01 2.518705e-01 3.694249e-01 4.876093e-01
[13,] 9.745836e-02 1.736867e-01 2.793646e-01 4.075043e-01 5.384966e-01
[14,] 1.012001e-01 1.835383e-01 2.975996e-01 4.352166e-01 5.768132e-01
[15,] 9.551183e-02 1.786022e-01 2.958416e-01 4.384875e-01 5.865612e-01
[16,] 8.102260e-02 1.575563e-01 2.693048e-01 4.086083e-01 5.560382e-01
[17,] 6.185729e-02 1.255923e-01 2.228414e-01 3.485826e-01 4.858262e-01
[18,] 4.334480e-02 9.170525e-02 1.690058e-01 2.732468e-01 3.913751e-01
[19,] 2.933864e-02 6.396437e-02 1.215318e-01 2.021954e-01 2.969168e-01
[20,] 2.089122e-02 4.603151e-02 8.875141e-02 1.500932e-01 2.238544e-01
[21,] 1.672439e-02 3.680265e-02 7.109679e-02 1.207999e-01 1.811812e-01
[22,] 1.465598e-02 3.251889e-02 6.327221e-02 1.083139e-01 1.637607e-01
[23,] 1.288521e-02 2.938111e-02 5.853176e-02 1.024038e-01 1.581834e-01
[24,] 1.058252e-02 2.518116e-02 5.212683e-02 9.450110e-02 1.511202e-01
[25,] 7.812149e-03 1.959819e-02 4.259929e-02 8.083650e-02 1.350923e-01
[26,] 5.086894e-03 1.355121e-02 3.116980e-02 6.239961e-02 1.097982e-01
[27,] 2.892837e-03 8.228247e-03 2.015434e-02 4.285929e-02 7.996667e-02
[28,] 1.428306e-03 4.356798e-03 1.142528e-02 2.597263e-02 5.174771e-02
[29,] 6.099716e-04 2.002641e-03 5.649225e-03 1.380952e-02 2.958909e-02
[30,] 2.247803e-04 7.968740e-04 2.428520e-03 6.420058e-03 1.489875e-02
[31,] 7.138346e-05 2.740881e-04 9.062644e-04 2.605823e-03 6.597239e-03
[32,] 1.952784e-05 8.146991e-05 2.935918e-04 9.238080e-04 2.571113e-03
[33,] 4.604069e-06 2.094816e-05 8.270922e-05 2.867846e-04 8.848024e-04
[34,] 9.369803e-07 4.671318e-06 2.034066e-05 7.837867e-05 2.706802e-04
[35,] 1.651086e-07 9.078707e-07 4.399154e-06 1.904953e-05 7.455360e-05
[36,] 2.534366e-08 1.552471e-07 8.484556e-07 4.195530e-06 1.892274e-05
[37,] 3.429996e-09 2.380068e-08 1.498375e-07 8.656829e-07 4.595290e-06
[38,] 4.196234e-10 3.390615e-09 2.533947e-08 1.755490e-07 1.115518e-06
[39,] 4.863875e-11 4.750321e-10 4.336291e-09 3.647301e-08 2.766562e-07
[40,] 5.711024e-12 6.921375e-11 7.732444e-10 7.763256e-09 6.854549e-08
[41,] 7.119639e-13 1.056312e-11 1.398996e-10 1.618919e-09 1.614545e-08
[42,] 9.227218e-14 1.604345e-12 2.420842e-11 3.132946e-10 3.454453e-09
[43,] 1.161420e-14 2.274902e-13 3.806264e-12 5.411809e-11 6.520507e-10
[44,] 1.335973e-15 2.881960e-14 5.272726e-13 8.164716e-12 1.068860e-10
[45,] 1.355660e-16 3.186979e-15 6.335544e-14 1.064192e-12 1.509712e-11
[46,] 1.193066e-17 3.042736e-16 6.554284e-15 1.192111e-13 1.830456e-12
[47,] 9.037059e-19 2.495565e-17 5.817868e-16 1.144888e-14 1.901655e-13
[48,] 5.871855e-20 1.754312e-18 4.423905e-17 9.415746e-16 1.691364e-14
[49,] 3.267821e-21 1.055910e-19 2.879564e-18 6.627548e-17 1.287348e-15
[50,] 1.556615e-22 5.439005e-21 1.603885e-19 3.991560e-18 8.383424e-17
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 3.508305e-02 2.548683e-02 1.597082e-02 8.592040e-03 3.952393e-03
 [2,] 6.573817e-02 5.025759e-02 3.330281e-02 1.903405e-02 9.339998e-03
 [3,] 1.092474e-01 8.742305e-02 6.091729e-02 3.679521e-02 1.917260e-02
 [4,] 1.624490e-01 1.353517e-01 9.857391e-02 6.253318e-02 3.440139e-02
 [5,] 2.186618e-01 1.887330e-01 1.427361e-01 9.442046e-02 5.445072e-02
 [6,] 2.707592e-01 2.409295e-01 1.879768e-01 1.286286e-01 7.708485e-02
 [7,] 3.153253e-01 2.880274e-01 2.303907e-01 1.617160e-01 9.969963e-02
 [8,] 3.548326e-01 3.318003e-01 2.708668e-01 1.936286e-01 1.215649e-01
 [9,] 3.959339e-01 3.790276e-01 3.155610e-01 2.290445e-01 1.454708e-01
[10,] 4.451739e-01 4.372911e-01 3.726795e-01 2.756304e-01 1.773235e-01
[11,] 5.052350e-01 5.100889e-01 4.473890e-01 3.398716e-01 2.235288e-01
[12,] 5.732479e-01 5.940143e-01 5.378008e-01 4.227196e-01 2.874031e-01
[13,] 6.403612e-01 6.784540e-01 6.337232e-01 5.171643e-01 3.663159e-01
[14,] 6.921323e-01 7.470180e-01 7.181232e-01 6.085850e-01 4.507574e-01
[15,] 7.113105e-01 7.808862e-01 7.708691e-01 6.777646e-01 5.257293e-01
[16,] 6.843941e-01 7.649073e-01 7.747125e-01 7.061990e-01 5.743362e-01
[17,] 6.098569e-01 6.953789e-01 7.226890e-01 6.829327e-01 5.831352e-01
[18,] 5.025024e-01 5.852665e-01 6.239036e-01 6.108280e-01 5.481152e-01
[19,] 3.892427e-01 4.619468e-01 5.033016e-01 5.086500e-01 4.788035e-01
[20,] 2.972672e-01 3.565373e-01 3.931947e-01 4.058915e-01 3.971732e-01
[21,] 2.416115e-01 2.901078e-01 3.196915e-01 3.311604e-01 3.299034e-01
[22,] 2.199528e-01 2.651024e-01 2.915514e-01 2.998440e-01 2.969851e-01
[23,] 2.170855e-01 2.669681e-01 2.980780e-01 3.081670e-01 3.029609e-01
[24,] 2.148322e-01 2.739220e-01 3.167161e-01 3.368627e-01 3.358275e-01
[25,] 2.007579e-01 2.680314e-01 3.249134e-01 3.615501e-01 3.736891e-01
[26,] 1.717487e-01 2.416767e-01 3.093404e-01 3.634694e-01 3.948155e-01
[27,] 1.325573e-01 1.978157e-01 2.688707e-01 3.355260e-01 3.859012e-01
[28,] 9.157298e-02 1.459448e-01 2.119454e-01 2.823535e-01 3.455061e-01
[29,] 5.633811e-02 9.665678e-02 1.510422e-01 2.160153e-01 2.824111e-01
[30,] 3.077328e-02 5.732048e-02 9.713573e-02 1.500635e-01 2.105534e-01
[31,] 1.490703e-02 3.040972e-02 5.633039e-02 9.462444e-02 1.432288e-01
[32,] 6.410469e-03 1.444571e-02 2.947995e-02 5.421468e-02 8.907965e-02
[33,] 2.456092e-03 6.166865e-03 1.397446e-02 2.834933e-02 5.097310e-02
[34,] 8.448896e-04 2.386025e-03 6.058399e-03 1.368898e-02 2.724054e-02
[35,] 2.648992e-04 8.513101e-04 2.450641e-03 6.247333e-03 1.396524e-02
[36,] 7.775879e-05 2.885266e-04 9.547205e-04 2.784109e-03 7.089750e-03
[37,] 2.221135e-05 9.636385e-05 3.699081e-04 1.241941e-03 3.616823e-03
[38,] 6.389225e-06 3.241618e-05 1.437007e-04 5.512549e-04 1.818122e-03
[39,] 1.854757e-06 1.082675e-05 5.448020e-05 2.348226e-04 8.634177e-04
[40,] 5.243573e-07 3.442922e-06 1.929406e-05 9.196390e-05 3.720136e-04
[41,] 1.376500e-07 9.985702e-07 6.147163e-06 3.205866e-05 1.414915e-04
[42,] 3.233391e-08 2.563855e-07 1.720120e-06 9.757259e-06 4.677208e-05
[43,] 6.647468e-09 5.729129e-08 4.172060e-07 2.566234e-06 1.332992e-05
[44,] 1.182247e-09 1.104445e-08 8.712245e-08 5.802307e-07 3.262202e-06
[45,] 1.808420e-10 1.828807e-09 1.561193e-08 1.124956e-07 6.842019e-07
[46,] 2.372522e-11 2.595613e-10 2.396784e-09 1.867943e-08 1.228667e-07
[47,] 2.665961e-12 3.154388e-11 3.149976e-10 2.654750e-09 1.888251e-08
[48,] 2.564173e-13 3.280792e-12 3.542641e-11 3.228417e-10 2.482928e-09
[49,] 2.110353e-14 2.919623e-13 3.408859e-12 3.358926e-11 2.793187e-10
[50,] 1.485972e-15 2.222841e-14 2.806167e-13 2.989685e-12 2.688090e-11
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 1.549564e-03 5.166275e-04 1.464501e-04 3.556739e-05 7.738436e-06
 [2,] 3.919481e-03 1.402821e-03 4.283453e-04 1.129569e-04 2.749474e-05
 [3,] 8.580095e-03 3.287757e-03 1.080147e-03 3.102974e-04 8.592850e-05
 [4,] 1.633779e-02 6.678009e-03 2.357412e-03 7.416896e-04 2.389472e-04
 [5,] 2.726672e-02 1.182965e-02 4.479681e-03 1.556169e-03 5.988356e-04
 [6,] 4.036041e-02 1.845878e-02 7.481369e-03 2.901547e-03 1.367963e-03
 [7,] 5.399774e-02 2.578686e-02 1.114362e-02 4.884470e-03 2.866395e-03
 [8,] 6.726210e-02 3.311536e-02 1.514480e-02 7.558146e-03 5.505311e-03
 [9,] 8.132993e-02 4.068069e-02 1.941215e-02 1.093930e-02 9.631575e-03
[10,] 9.984191e-02 5.019708e-02 2.446788e-02 1.503491e-02 1.523602e-02
[11,] 1.277485e-01 6.462432e-02 3.154515e-02 1.990871e-02 2.172447e-02
[12,] 1.690680e-01 8.717622e-02 4.240460e-02 2.586426e-02 2.811074e-02
[13,] 2.245564e-01 1.199783e-01 5.891581e-02 3.371059e-02 3.376533e-02
[14,] 2.902342e-01 1.628731e-01 8.249746e-02 4.487257e-02 3.926400e-02
[15,] 3.573195e-01 2.127408e-01 1.135118e-01 6.110238e-02 4.656531e-02
[16,] 4.137103e-01 2.634944e-01 1.506941e-01 8.380318e-02 5.823440e-02
[17,] 4.469847e-01 3.068648e-01 1.906984e-01 1.131770e-01 7.624636e-02
[18,] 4.487391e-01 3.343238e-01 2.280968e-01 1.474584e-01 1.010931e-01
[19,] 4.192435e-01 3.404210e-01 2.565847e-01 1.826952e-01 1.314371e-01
[20,] 3.698370e-01 3.265272e-01 2.717655e-01 2.137345e-01 1.642442e-01
[21,] 3.202003e-01 3.023110e-01 2.742915e-01 2.365191e-01 1.954857e-01
[22,] 2.903974e-01 2.826657e-01 2.708636e-01 2.505353e-01 2.215285e-01
[23,] 2.916420e-01 2.809041e-01 2.715787e-01 2.596257e-01 2.408487e-01
[24,] 3.211559e-01 3.020216e-01 2.847151e-01 2.701790e-01 2.550479e-01
[25,] 3.638201e-01 3.398667e-01 3.118345e-01 2.872780e-01 2.679546e-01
[26,] 3.991598e-01 3.795368e-01 3.458946e-01 3.107438e-01 2.825507e-01
[27,] 4.098101e-01 4.036291e-01 3.735981e-01 3.336195e-01 2.974834e-01
[28,] 3.877671e-01 3.994703e-01 3.812164e-01 3.447819e-01 3.062162e-01
[29,] 3.362300e-01 3.640921e-01 3.611123e-01 3.348033e-01 3.004072e-01
[30,] 2.668143e-01 3.046488e-01 3.152972e-01 3.014770e-01 2.755510e-01
[31,] 1.939930e-01 2.343998e-01 2.539821e-01 2.512461e-01 2.346526e-01
[32,] 1.297399e-01 1.669043e-01 1.904356e-01 1.957784e-01 1.871606e-01
[33,] 8.057029e-02 1.115249e-01 1.355317e-01 1.463564e-01 1.441476e-01
[34,] 4.737317e-02 7.171884e-02 9.459301e-02 1.094771e-01 1.130979e-01
[35,] 2.718540e-02 4.590680e-02 6.718342e-02 8.542247e-02 9.510778e-02
[36,] 1.566577e-02 2.991352e-02 4.924334e-02 6.984041e-02 8.550314e-02
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[48,] 4.375086e-03 2.235491e-03 9.644061e-04 3.513112e-04 1.080903e-04
[49,] 2.660390e-03 1.470402e-03 6.860510e-04 2.702040e-04 8.983903e-05
[50,] 1.386245e-03 8.285811e-04 4.180969e-04 1.780724e-04 6.401531e-05

> 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  
  0.6421820    0.0003138  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/10jst1226408654.ps tmp/10jst1226408654.png")
> system("convert tmp/20hvp1226408654.ps tmp/20hvp1226408654.png")
> system("convert tmp/3ap5q1226408654.ps tmp/3ap5q1226408654.png")
> system("convert tmp/49m021226408654.ps tmp/49m021226408654.png")
> system("convert tmp/5q3q21226408654.ps tmp/5q3q21226408654.png")
> system("convert tmp/6ldgw1226408654.ps tmp/6ldgw1226408654.png")
> system("convert tmp/70cnk1226408654.ps tmp/70cnk1226408654.png")
> 
> 
> proc.time()
   user  system elapsed 
  3.122   2.065   3.462