R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> z <- c(94.4,85.5,83,84.4,90,90,89.1,89.1,87.7,89.2,91.4,91.9,93.4,92.4,91.9,100,104,100.8,100.3)
> y <- c(101.9,98.1,97.6,99.4,100.8,96.5,92.9,94.4,91.7,97.1,100.4,96.6,96.3,96,95.9,100,99.7,99.9,99.8)
> x <- c(4.2,4.7,6.3,6.7,6.8,6.8,6.2,6.4,6,8.2,6.5,6.8,8.7,10,7.9,9.2,8.1,6.9,6.5)
> par7 = 'Variable Z'
> par6 = 'Variable Y'
> par5 = 'Variable X'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> 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. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), 3-Dimensional Scatterplots (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_cloud.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> x <- array(x,dim=c(length(x),1))
> colnames(x) <- par5
> y <- array(y,dim=c(length(y),1))
> colnames(y) <- par6
> z <- array(z,dim=c(length(z),1))
> colnames(z) <- par7
> d <- data.frame(cbind(z,y,x))
> colnames(d) <- list(par7,par6,par5)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1>500) par1 <- 500
> if (par2>500) par2 <- 500
> if (par1<10) par1 <- 10
> if (par2<10) par2 <- 10
> library(GenKern)
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
> library(lattice)
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/fisher/rcomp/tmp/1e6e21378234810.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/2rzwd1378234810.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/38gpm1378234810.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4rtte1378234810.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/fisher/rcomp/tmp/5to3h1378234810.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$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  
     98.904       -0.182  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6vpt31378234810.ps",horizontal=F,onefile=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]  89.53986  89.83619  90.13252  90.42885  90.72519  91.02152  91.31785
 [8]  91.61418  91.91052  92.20685  92.50318  92.79951  93.09585  93.39218
[15]  93.68851  93.98484  94.28117  94.57751  94.87384  95.17017  95.46650
[22]  95.76284  96.05917  96.35550  96.65183  96.94817  97.24450  97.54083
[29]  97.83716  98.13350  98.42983  98.72616  99.02249  99.31883  99.61516
[36]  99.91149 100.20782 100.50415 100.80049 101.09682 101.39315 101.68948
[43] 101.98582 102.28215 102.57848 102.87481 103.17115 103.46748 103.76381
[50] 104.06014

$yords
 [1]  80.33329  80.87071  81.40813  81.94554  82.48296  83.02038  83.55779
 [8]  84.09521  84.63263  85.17004  85.70746  86.24488  86.78229  87.31971
[15]  87.85713  88.39454  88.93196  89.46938  90.00679  90.54421  91.08163
[22]  91.61904  92.15646  92.69388  93.23129  93.76871  94.30612  94.84354
[29]  95.38096  95.91837  96.45579  96.99321  97.53062  98.06804  98.60546
[36]  99.14287  99.68029 100.21771 100.75512 101.29254 101.82996 102.36737
[43] 102.90479 103.44221 103.97962 104.51704 105.05446 105.59187 106.12929
[50] 106.66671

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 3.230330e-05 1.108907e-04 3.413634e-04 9.421753e-04 2.331702e-03
 [2,] 3.017711e-05 1.067706e-04 3.391470e-04 9.661901e-04 2.468539e-03
 [3,] 2.697233e-05 9.803581e-05 3.211015e-04 9.441404e-04 2.490407e-03
 [4,] 2.333734e-05 8.613553e-05 2.901737e-04 8.801264e-04 2.396670e-03
 [5,] 2.026559e-05 7.312451e-05 2.511242e-04 7.841531e-04 2.203473e-03
 [6,] 1.943298e-05 6.174407e-05 2.099082e-04 6.701123e-04 1.939937e-03
 [7,] 2.405045e-05 5.606676e-05 1.735396e-04 5.536638e-04 1.642103e-03
 [8,] 4.064577e-05 6.323746e-05 1.511904e-04 4.513186e-04 1.347140e-03
 [9,] 8.235684e-05 9.706594e-05 1.574865e-04 3.821628e-04 1.090564e-03
[10,] 1.744146e-04 1.844378e-04 2.192033e-04 3.737438e-04 9.089076e-04
[11,] 3.623333e-04 3.755268e-04 3.867361e-04 4.737377e-04 8.498611e-04
[12,] 7.226319e-04 7.582571e-04 7.514510e-04 7.689328e-04 9.914837e-04
[13,] 1.374452e-03 1.475963e-03 1.468779e-03 1.412235e-03 1.471478e-03
[14,] 2.488207e-03 2.744439e-03 2.784085e-03 2.655991e-03 2.525797e-03
[15,] 4.284979e-03 4.860908e-03 5.053847e-03 4.885352e-03 4.532000e-03
[16,] 7.019013e-03 8.194124e-03 8.749453e-03 8.638940e-03 8.046222e-03
[17,] 1.093708e-02 1.314414e-02 1.442739e-02 1.459781e-02 1.381465e-02
[18,] 1.621421e-02 2.006506e-02 2.265155e-02 2.352171e-02 2.273465e-02
[19,] 2.287479e-02 2.915513e-02 3.386355e-02 3.611839e-02 3.574229e-02
[20,] 3.071937e-02 4.033518e-02 4.821654e-02 5.285052e-02 5.361786e-02
[21,] 3.928431e-02 5.315108e-02 6.541072e-02 7.371261e-02 7.672910e-02
[22,] 4.785983e-02 6.674280e-02 8.458653e-02 9.803887e-02 1.047672e-01
[23,] 5.557799e-02 7.991161e-02 1.043309e-01 1.244164e-01 1.365585e-01
[24,] 6.155937e-02 9.129055e-02 1.228278e-01 1.507648e-01 1.700373e-01
[25,] 6.508407e-02 9.958655e-02 1.381397e-01 1.746006e-01 2.024332e-01
[26,] 6.573924e-02 1.038328e-01 1.485585e-01 1.934419e-01 2.306625e-01
[27,] 6.349995e-02 1.035799e-01 1.529324e-01 2.052568e-01 2.518417e-01
[28,] 5.872077e-02 9.897137e-02 1.508779e-01 2.088349e-01 2.637947e-01
[29,] 5.204499e-02 9.068701e-02 1.428211e-01 2.039827e-01 2.654189e-01
[30,] 4.426302e-02 7.977884e-02 1.298686e-01 1.915023e-01 2.568257e-01
[31,] 3.616289e-02 6.745433e-02 1.135587e-01 1.729792e-01 2.392394e-01
[32,] 2.841026e-02 5.486748e-02 9.556917e-02 1.504550e-01 2.147111e-01
[33,] 2.147917e-02 4.296384e-02 7.745619e-02 1.260772e-01 1.857386e-01
[34,] 1.563540e-02 3.239975e-02 6.047174e-02 1.018016e-01 1.548854e-01
[35,] 1.096037e-02 2.353141e-02 4.547452e-02 7.918992e-02 1.244642e-01
[36,] 7.397620e-03 1.645462e-02 3.292398e-02 5.931164e-02 9.631972e-02
[37,] 4.804962e-03 1.107103e-02 2.293300e-02 4.273589e-02 7.171436e-02
[38,] 3.001087e-03 7.160828e-03 1.535278e-02 2.959119e-02 5.131123e-02
[39,] 1.800635e-03 4.447838e-03 9.867275e-03 1.966647e-02 3.523558e-02
[40,] 1.036676e-03 2.649953e-03 6.080890e-03 1.252977e-02 2.319260e-02
[41,] 5.720317e-04 1.512563e-03 3.588999e-03 7.643291e-03 1.461410e-02
[42,] 3.021707e-04 8.261773e-04 2.026360e-03 4.459017e-03 8.805283e-03
[43,] 1.526380e-04 4.313706e-04 1.093298e-03 2.485228e-03 5.067690e-03
[44,] 7.365716e-05 2.150918e-04 5.631581e-04 1.322093e-03 2.783399e-03
[45,] 3.392523e-05 1.023348e-04 2.767173e-04 6.707816e-04 1.457807e-03
[46,] 1.490215e-05 4.642253e-05 1.296139e-04 3.243622e-04 7.276072e-04
[47,] 6.238894e-06 2.006646e-05 5.783892e-05 1.494049e-04 3.458828e-04
[48,] 2.488033e-06 8.260801e-06 2.457698e-05 6.552115e-05 1.565307e-04
[49,] 9.447022e-07 3.237402e-06 9.940350e-06 2.734731e-05 6.741395e-05
[50,] 3.413953e-07 1.207367e-06 3.825562e-06 1.085996e-05 2.762162e-05
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 5.174961e-03 0.0103018222 0.0183987000 0.0294870474 0.0424193061
 [2,] 5.656875e-03 0.0116293898 0.0214526967 0.0355193712 0.0527999514
 [3,] 5.893159e-03 0.0125126530 0.0238440634 0.0407908665 0.0626661489
 [4,] 5.856674e-03 0.0128443766 0.0252870366 0.0447027247 0.0709847538
 [5,] 5.560206e-03 0.0125959790 0.0256214501 0.0468093984 0.0768368674
 [6,] 5.052882e-03 0.0118228062 0.0248472146 0.0469149847 0.0796105128
 [7,] 4.408541e-03 0.0106494212 0.0231201864 0.0451113611 0.0791288248
 [8,] 3.710454e-03 0.0092405281 0.0207118882 0.0417470207 0.0756741009
 [9,] 3.038049e-03 0.0077678439 0.0179477472 0.0373393212 0.0699033294
[10,] 2.460767e-03 0.0063840664 0.0151447177 0.0324611516 0.0626877275
[11,] 2.042639e-03 0.0052123249 0.0125673770 0.0276383238 0.0549311547
[12,] 1.859387e-03 0.0043550474 0.0104138589 0.0232857440 0.0474220359
[13,] 2.028537e-03 0.0039221643 0.0088336090 0.0196940772 0.0407532563
[14,] 2.751651e-03 0.0040759837 0.0079718886 0.0170625623 0.0353163984
[15,] 4.365122e-03 0.0050881906 0.0080326621 0.0155641411 0.0313543277
[16,] 7.390595e-03 0.0074011623 0.0093501026 0.0154268100 0.0290466867
[17,] 1.256804e-02 0.0116795269 0.0124562189 0.0170163674 0.0286054246
[18,] 2.084625e-02 0.0188293406 0.0181259515 0.0209048489 0.0303634988
[19,] 3.330214e-02 0.0299552109 0.0273729377 0.0279033730 0.0348413154
[20,] 5.096894e-02 0.0462277829 0.0413655759 0.0390313450 0.0427698419
[21,] 7.457713e-02 0.0686507255 0.0612413092 0.0553937160 0.0550422257
[22,] 1.042493e-01 0.0977503623 0.0878235827 0.0779538712 0.0725688002
[23,] 1.392281e-01 0.1332530812 0.1212868447 0.1072240989 0.0960325000
[24,] 1.777347e-01 0.1738484193 0.1608562082 0.1429397391 0.1255818199
[25,] 2.170413e-01 0.2171386818 0.2046487081 0.1838178375 0.1605425923
[26,] 2.537850e-01 0.2598372553 0.2497440838 0.2275037970 0.1992543220
[27,] 2.844738e-01 0.2982046585 0.2925120544 0.2707676362 0.2391205863
[28,] 3.060667e-01 0.3286302814 0.3291393529 0.3099341481 0.2769028151
[29,] 3.164787e-01 0.3482156967 0.3562297576 0.3414495687 0.3092031859
[30,] 3.148896e-01 0.3552152985 0.3713254697 0.3624380637 0.3330117797
[31,] 3.017986e-01 0.3492427692 0.3732316378 0.3711100320 0.3461712717
[32,] 2.788464e-01 0.3312289801 0.3620976366 0.3669439916 0.3476489480
[33,] 2.484805e-01 0.3031837545 0.3392837638 0.3506440103 0.3375818654
[34,] 2.135572e-01 0.2678446094 0.3070859578 0.3239344674 0.3171357111
[35,] 1.769562e-01 0.2282904041 0.2683947855 0.2892715174 0.2882573343
[36,] 1.412604e-01 0.1875736048 0.2263416793 0.2495302816 0.2533942322
[37,] 1.085228e-01 0.1484041648 0.1839620538 0.2076959175 0.2152209793
[38,] 8.013522e-02 0.1129088336 0.1438966583 0.1665694847 0.1763814774
[39,] 5.679894e-02 0.0824876707 0.1081584686 0.1285047677 0.1392481561
[40,] 3.859038e-02 0.0577828111 0.0779971164 0.0952068835 0.1057121851
[41,] 2.509998e-02 0.0387575515 0.0538835320 0.0676291868 0.0770356728
[42,] 1.560999e-02 0.0248606881 0.0356122797 0.0459899188 0.0537980010
[43,] 9.272646e-03 0.0152329397 0.0224898115 0.0299001371 0.0359497407
[44,] 5.256232e-03 0.0089073687 0.0135570008 0.0185637328 0.0229568913
[45,] 2.841017e-03 0.0049665716 0.0077938873 0.0109955738 0.0139938549
[46,] 1.463239e-03 0.0026388265 0.0042701470 0.0062084361 0.0081352194
[47,] 7.177332e-04 0.0013352752 0.0022283000 0.0033394499 0.0045069597
[48,] 3.351377e-04 0.0006431899 0.0011069762 0.0017102771 0.0023780308
[49,] 1.489155e-04 0.0002948209 0.0005233239 0.0008336322 0.0011944326
[50,] 6.294853e-05 0.0001285581 0.0002353622 0.0003865920 0.0005708859
            [,11]        [,12]       [,13]       [,14]       [,15]       [,16]
 [1,] 0.054791585 0.0635659641 0.066259880 0.062080888 0.052302499 0.039639513
 [2,] 0.070489776 0.0845463609 0.091138855 0.088333647 0.077009738 0.060415989
 [3,] 0.086484689 0.1072611363 0.119595404 0.119932534 0.108217948 0.087901609
 [4,] 0.101285802 0.1299132958 0.149851082 0.155509110 0.145257025 0.122181574
 [5,] 0.113364814 0.1503957775 0.179485216 0.192775910 0.186427864 0.162410334
 [6,] 0.121457354 0.1666690222 0.205805803 0.228789027 0.229086923 0.206717647
 [7,] 0.124826035 0.1771677614 0.226346817 0.260427854 0.269992072 0.252355047
 [8,] 0.123404389 0.1811179081 0.239357857 0.284981239 0.305855680 0.296094666
 [9,] 0.117779134 0.1786673174 0.244140739 0.300675948 0.333966544 0.334802361
[10,] 0.109024011 0.1707968753 0.241134360 0.306990998 0.352702491 0.366032718
[11,] 0.098447044 0.1590534722 0.231735287 0.304670853 0.361782345 0.388469650
[12,] 0.087334607 0.1452019272 0.217931144 0.295455726 0.362195762 0.402083710
[13,] 0.076762746 0.1309048106 0.201875585 0.281638971 0.355860945 0.407976708
[14,] 0.067509514 0.1175074764 0.185528290 0.265600026 0.345143407 0.407991975
[15,] 0.060062148 0.1059517294 0.170431473 0.249435405 0.332388273 0.404235350
[16,] 0.054687390 0.0967934584 0.157627032 0.234740624 0.319572055 0.398648462
[17,] 0.051529711 0.0902791878 0.147673051 0.222527582 0.308104369 0.392717285
[18,] 0.050712915 0.0864438894 0.140710006 0.213227401 0.298748810 0.387322936
[19,] 0.052432392 0.0852136042 0.136549847 0.206739589 0.291617827 0.382696683
[20,] 0.057026730 0.0865103353 0.134788433 0.202522354 0.286223010 0.378443976
[21,] 0.065007913 0.0903520207 0.134949696 0.199743137 0.281598527 0.373637310
[22,] 0.077019611 0.0969218940 0.136651092 0.197500133 0.276526016 0.367007429
[23,] 0.093697775 0.1065662842 0.139747502 0.195085759 0.269856954 0.357252509
[24,] 0.115435327 0.1196863511 0.144390593 0.192217915 0.260870016 0.343433302
[25,] 0.142098113 0.1365245985 0.150953848 0.189147156 0.249552455 0.325356519
[26,] 0.172782005 0.1568992565 0.159821559 0.186576192 0.236690665 0.303810783
[27,] 0.205714829 0.1799822709 0.171103101 0.185395779 0.223707712 0.280540222
[28,] 0.238375404 0.2042229702 0.184379403 0.186317747 0.212275397 0.257919268
[29,] 0.267831213 0.2274782041 0.198589907 0.189534149 0.203815562 0.238397726
[30,] 0.291214480 0.2473346379 0.212120352 0.194527152 0.199050786 0.223872430
[31,] 0.306203363 0.2615343447 0.223075153 0.200098574 0.197748671 0.215173809
[32,] 0.311376265 0.2683765015 0.229648706 0.204607224 0.198736003 0.211821460
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[22,] 1.280320e-02 1.029330e-02 9.148643e-03 8.223883e-03 7.260769e-03
[23,] 1.985141e-02 1.715746e-02 1.597417e-02 1.474664e-02 1.317111e-02
[24,] 2.957765e-02 2.737590e-02 2.663793e-02 2.527000e-02 2.289657e-02
[25,] 4.232205e-02 4.177571e-02 4.239312e-02 4.134756e-02 3.810118e-02
[26,] 5.811235e-02 6.092099e-02 6.434823e-02 6.455240e-02 6.062818e-02
[27,] 7.650635e-02 8.483561e-02 9.311036e-02 9.610059e-02 9.216682e-02
[28,] 9.648644e-02 1.127389e-01 1.283776e-01 1.363538e-01 1.337475e-01
[29,] 1.164645e-01 1.428920e-01 1.685980e-01 1.843112e-01 1.851425e-01
[30,] 1.344387e-01 1.726519e-01 2.108426e-01 2.372622e-01 2.443333e-01
[31,] 1.483025e-01 1.987888e-01 2.510166e-01 2.907875e-01 3.072595e-01
[32,] 1.562523e-01 2.180396e-01 2.844476e-01 3.392311e-01 3.680459e-01
[33,] 1.571906e-01 2.277776e-01 3.067583e-01 3.766273e-01 4.197916e-01
[34,] 1.510063e-01 2.266129e-01 3.148079e-01 3.978920e-01 4.558153e-01
[35,] 1.386397e-01 2.147387e-01 3.074247e-01 3.999583e-01 4.710637e-01
[36,] 1.219037e-01 1.939066e-01 2.856981e-01 3.825051e-01 4.632746e-01
[37,] 1.031108e-01 1.670367e-01 2.527293e-01 3.480443e-01 4.335274e-01
[38,] 8.460961e-02 1.375823e-01 2.129228e-01 3.013329e-01 3.859979e-01
[39,] 6.835624e-02 1.088390e-01 1.710411e-01 2.483023e-01 3.269938e-01
[40,] 5.561746e-02 8.338401e-02 1.313004e-01 1.948367e-01 2.635808e-01
[41,] 4.685492e-02 6.276367e-02 9.673697e-02 1.457441e-01 2.022117e-01
[42,] 4.178372e-02 4.745604e-02 6.895207e-02 1.041536e-01 1.477190e-01
[43,] 3.956178e-02 3.705415e-02 4.821287e-02 7.140192e-02 1.028615e-01
[44,] 3.904853e-02 3.057355e-02 3.379322e-02 4.731686e-02 6.841337e-02
[45,] 3.907248e-02 2.678509e-02 2.440597e-02 3.071844e-02 4.363194e-02
[46,] 3.865713e-02 2.449870e-02 1.860180e-02 1.995253e-02 2.687911e-02
[47,] 3.716999e-02 2.275777e-02 1.506053e-02 1.332532e-02 1.620152e-02
[48,] 3.437725e-02 2.093369e-02 1.275337e-02 9.379473e-03 9.752349e-03
[49,] 3.040697e-02 1.873155e-02 1.099183e-02 7.015704e-03 6.023252e-03
[50,] 2.564298e-02 1.613050e-02 9.396479e-03 5.498636e-03 3.915327e-03
             [,38]        [,39]        [,40]        [,41]        [,42]
 [1,] 1.865728e-12 1.312866e-12 8.325600e-13 4.739526e-13 2.418972e-13
 [2,] 8.448725e-12 6.120474e-12 3.999669e-12 2.347437e-12 1.235493e-12
 [3,] 3.638912e-11 2.712560e-11 1.826254e-11 1.104923e-11 5.996597e-12
 [4,] 1.491027e-10 1.143013e-10 7.925917e-11 4.942649e-11 2.765852e-11
 [5,] 5.813746e-10 4.580001e-10 3.269813e-10 2.101334e-10 1.212336e-10
 [6,] 2.157898e-09 1.745410e-09 1.282383e-09 8.490928e-10 5.050032e-10
 [7,] 7.627652e-09 6.327624e-09 4.781680e-09 3.261085e-09 1.999185e-09
 [8,] 2.568971e-08 2.182809e-08 1.695405e-08 1.190551e-08 7.521706e-09
 [9,] 8.248970e-08 7.167473e-08 5.717009e-08 4.131883e-08 2.689682e-08
[10,] 2.527126e-07 2.241139e-07 1.833830e-07 1.363353e-07 9.141752e-08
[11,] 7.392758e-07 6.676333e-07 5.597014e-07 4.277451e-07 2.953444e-07
[12,] 2.067096e-06 1.895982e-06 1.625935e-06 1.276297e-06 9.070616e-07
[13,] 5.530416e-06 5.136453e-06 4.497485e-06 3.622396e-06 2.648479e-06
[14,] 1.417444e-05 1.328570e-05 1.185123e-05 9.781973e-06 7.352959e-06
[15,] 3.484483e-05 3.284066e-05 2.976717e-05 2.514088e-05 1.941353e-05
[16,] 8.225890e-05 7.766214e-05 7.131651e-05 6.152097e-05 4.875380e-05
[17,] 1.866951e-04 1.759066e-04 1.631068e-04 1.434023e-04 1.164875e-04
[18,] 4.077661e-04 3.820874e-04 3.564424e-04 3.185836e-04 2.648795e-04
[19,] 8.576931e-04 7.968665e-04 7.450740e-04 6.750208e-04 5.734251e-04
[20,] 1.738092e-03 1.597552e-03 1.491431e-03 1.365148e-03 1.182387e-03
[21,] 3.393572e-03 3.081840e-03 2.862414e-03 2.637601e-03 2.323459e-03
[22,] 6.381933e-03 5.725155e-03 5.273817e-03 4.873656e-03 4.353973e-03
[23,] 1.155273e-02 1.024682e-02 9.338908e-03 8.622125e-03 7.786598e-03
[24,] 2.011260e-02 1.767111e-02 1.591111e-02 1.462234e-02 1.330179e-02
[25,] 3.363861e-02 2.935647e-02 2.610336e-02 2.380147e-02 2.172781e-02
[26,] 5.398690e-02 4.695206e-02 4.125841e-02 3.723052e-02 3.397483e-02
[27,] 8.304357e-02 7.223435e-02 6.283836e-02 5.602380e-02 5.091684e-02
[28,] 1.222912e-01 1.067859e-01 9.220426e-02 8.117146e-02 7.322712e-02
[29,] 1.722256e-01 1.515171e-01 1.302745e-01 1.133040e-01 1.011860e-01
[30,] 2.317407e-01 2.060961e-01 1.770896e-01 1.524057e-01 1.344901e-01
[31,] 2.976802e-01 2.684336e-01 2.313692e-01 1.975220e-01 1.721000e-01
[32,] 3.647822e-01 3.344229e-01 2.901989e-01 2.465354e-01 2.121630e-01
[33,] 4.261824e-01 3.981317e-01 3.490160e-01 2.961100e-01 2.520501e-01
[34,] 4.744846e-01 4.525441e-01 4.020193e-01 3.419012e-01 2.885376e-01
[35,] 5.031977e-01 4.907753e-01 4.430217e-01 3.790756e-01 3.181489e-01
[36,] 5.081640e-01 5.074888e-01 4.666055e-01 4.030964e-01 3.376367e-01
[37,] 4.885459e-01 5.001173e-01 4.692923e-01 4.106172e-01 3.445365e-01
[38,] 4.470491e-01 4.695033e-01 4.503818e-01 4.002462e-01 3.376729e-01
[39,] 3.893035e-01 4.197410e-01 4.121811e-01 3.729410e-01 3.174771e-01
[40,] 3.225980e-01 3.572605e-01 3.595319e-01 3.318855e-01 2.860002e-01
[41,] 2.543661e-01 2.894421e-01 2.987742e-01 2.818625e-01 2.465854e-01
[42,] 1.908548e-01 2.231772e-01 2.364590e-01 2.282994e-01 2.032671e-01
[43,] 1.362947e-01 1.637635e-01 1.781799e-01 1.762612e-01 1.600548e-01
[44,] 9.268064e-02 1.143592e-01 1.278105e-01 1.296586e-01 1.202898e-01
[45,] 6.006961e-02 7.601202e-02 8.726233e-02 9.084211e-02 8.622977e-02
[46,] 3.718045e-02 4.810986e-02 5.670593e-02 6.060361e-02 5.892682e-02
[47,] 2.205915e-02 2.902151e-02 3.507720e-02 3.849085e-02 3.837084e-02
[48,] 1.263296e-02 1.671597e-02 2.066228e-02 2.327186e-02 2.379960e-02
[49,] 7.070148e-03 9.225876e-03 1.159987e-02 1.339526e-02 1.405752e-02
[50,] 3.944407e-03 4.911758e-03 6.217203e-03 7.342725e-03 7.906033e-03
             [,43]        [,44]        [,45]        [,46]        [,47]
 [1,] 1.106320e-13 4.532982e-14 1.663765e-14 5.469927e-15 1.610799e-15
 [2,] 5.827594e-13 2.462719e-13 9.323025e-14 3.161448e-14 9.602587e-15
 [3,] 2.917032e-12 1.271404e-12 4.964286e-13 1.736298e-13 5.439616e-14
 [4,] 1.387515e-11 6.237202e-12 2.511833e-12 9.061391e-13 2.928058e-13
 [5,] 6.271709e-11 2.907627e-11 1.207711e-11 4.493674e-12 1.497705e-12
 [6,] 2.693942e-10 1.288044e-10 5.517887e-11 2.117596e-11 7.279579e-12
 [7,] 1.099637e-09 5.422091e-10 2.395632e-10 9.482409e-11 3.362163e-11
 [8,] 4.265585e-09 2.168971e-09 9.883469e-10 4.034895e-10 1.475595e-10
 [9,] 1.572474e-08 8.245070e-09 3.874730e-09 1.631485e-09 6.153897e-10
[10,] 5.509033e-08 2.978473e-08 1.443507e-08 6.268632e-09 2.438759e-09
[11,] 1.834284e-07 1.022486e-07 5.110267e-08 2.288766e-08 9.183799e-09
[12,] 5.804660e-07 3.335776e-07 1.719184e-07 7.940973e-08 3.286355e-08
[13,] 1.745930e-06 1.034239e-06 5.496157e-07 2.618128e-07 1.117494e-07
[14,] 4.991633e-06 3.047487e-06 1.669780e-06 8.202666e-07 3.610893e-07
[15,] 1.356628e-05 8.534513e-06 4.820956e-06 2.442150e-06 1.108734e-06
[16,] 3.505276e-05 2.271702e-05 1.322787e-05 6.909501e-06 3.235075e-06
[17,] 8.611533e-05 5.747589e-05 3.449387e-05 1.857735e-05 8.969918e-06
[18,] 2.011880e-04 1.382340e-04 8.548814e-05 4.746706e-05 2.363437e-05
[19,] 4.470646e-04 3.160683e-04 2.013735e-04 1.152610e-04 5.917744e-05
[20,] 9.451194e-04 6.871222e-04 4.508747e-04 2.659901e-04 1.408089e-04
[21,] 1.901423e-03 1.420493e-03 9.596196e-04 5.833889e-04 3.184011e-04
[22,] 3.641676e-03 2.793031e-03 1.941650e-03 1.216127e-03 6.842234e-04
[23,] 6.642709e-03 5.224484e-03 3.735268e-03 2.409647e-03 1.397376e-03
[24,] 1.154624e-02 9.299599e-03 6.833026e-03 4.538490e-03 2.712280e-03
[25,] 1.913655e-02 1.575758e-02 1.188837e-02 8.126275e-03 5.003584e-03
[26,] 3.026513e-02 2.542751e-02 1.967642e-02 1.383383e-02 8.773588e-03
[27,] 4.571498e-02 3.909591e-02 3.098863e-02 2.239356e-02 1.462352e-02
[28,] 6.601578e-02 5.731141e-02 4.645557e-02 3.447539e-02 2.317086e-02
[29,] 9.124238e-02 8.015921e-02 6.631807e-02 5.048860e-02 3.490559e-02
[30,] 1.208454e-01 1.070637e-01 9.019914e-02 7.035432e-02 4.999980e-02
[31,] 1.535653e-01 1.366901e-01 1.169532e-01 9.331330e-02 6.811369e-02
[32,] 1.874665e-01 1.670005e-01 1.446684e-01 1.178490e-01 8.826399e-02
[33,] 2.200994e-01 1.954822e-01 1.708653e-01 1.417914e-01 1.088247e-01
[34,] 2.487685e-01 2.195082e-01 1.928744e-01 1.626193e-01 1.277039e-01
[35,] 2.708660e-01 2.367514e-01 2.083104e-01 1.779089e-01 1.426865e-01
[36,] 2.842183e-01 2.455504e-01 2.155171e-01 1.858173e-01 1.518694e-01
[37,] 2.873982e-01 2.451487e-01 2.138618e-01 1.854612e-01 1.540694e-01
[38,] 2.799546e-01 2.357667e-01 2.038045e-01 1.770790e-01 1.490802e-01
[39,] 2.625186e-01 2.185145e-01 1.867421e-01 1.619362e-01 1.376998e-01
[40,] 2.367493e-01 1.951842e-01 1.646909e-01 1.420133e-01 1.215248e-01
[41,] 2.051107e-01 1.679717e-01 1.399070e-01 1.195846e-01 1.025836e-01
[42,] 1.705057e-01 1.391780e-01 1.145402e-01 9.680794e-02 8.292469e-02
[43,] 1.358374e-01 1.109297e-01 9.037974e-02 7.542267e-02 6.427286e-02
[44,] 1.035932e-01 8.495517e-02 6.871683e-02 5.659946e-02 4.782616e-02
[45,] 7.554711e-02 6.244205e-02 5.031166e-02 4.093278e-02 3.420853e-02
[46,] 5.263481e-02 4.399312e-02 3.544061e-02 2.853317e-02 2.354583e-02
[47,] 3.500621e-02 2.967620e-02 2.399327e-02 1.916707e-02 1.560946e-02
[48,] 2.220936e-02 1.914618e-02 1.559251e-02 1.240058e-02 9.972583e-03
[49,] 1.343384e-02 1.180299e-02 9.715216e-03 7.720344e-03 6.141419e-03
[50,] 7.743561e-03 6.946685e-03 5.796803e-03 4.620361e-03 3.645032e-03
             [,48]        [,49]        [,50]
 [1,] 4.248794e-16 1.003811e-16 2.124217e-17
 [2,] 2.612501e-15 6.366300e-16 1.389565e-16
 [3,] 1.526440e-14 3.836673e-15 8.637563e-16
 [4,] 8.474894e-14 2.197117e-14 5.101927e-15
 [5,] 4.471192e-13 1.195600e-13 2.863595e-14
 [6,] 2.241533e-12 6.182320e-13 1.527289e-13
 [7,] 1.067822e-11 3.037722e-12 7.740373e-13
 [8,] 4.833782e-11 1.418336e-11 3.727664e-12
 [9,] 2.079261e-10 6.292786e-11 1.705863e-11
[10,] 8.498941e-10 2.653016e-10 7.417957e-11
[11,] 3.301061e-09 1.062842e-09 3.065179e-10
[12,] 1.218368e-08 4.046062e-09 1.203543e-09
[13,] 4.273055e-08 1.463626e-08 4.490561e-09
[14,] 1.424077e-07 5.031075e-08 1.592104e-08
[15,] 4.509900e-07 1.643339e-07 5.363857e-08
[16,] 1.357184e-06 5.100691e-07 1.717183e-07
[17,] 3.881052e-06 1.504410e-06 5.223837e-07
[18,] 1.054635e-05 4.216385e-06 1.510071e-06
[19,] 2.723323e-05 1.122931e-05 4.148018e-06
[20,] 6.682560e-05 2.841874e-05 1.082728e-05
[21,] 1.558252e-04 6.834369e-05 2.685562e-05
[22,] 3.452929e-04 1.561835e-04 6.329781e-05
[23,] 7.271083e-04 3.391713e-04 1.417692e-04
[24,] 1.455053e-03 6.999267e-04 3.017280e-04
[25,] 2.767174e-03 1.372590e-03 6.102290e-04
[26,] 5.001312e-03 2.557936e-03 1.172779e-03
[27,] 8.590831e-03 4.530078e-03 2.141851e-03
[28,] 1.402518e-02 7.624265e-03 3.717201e-03
[29,] 2.176342e-02 1.219489e-02 6.130590e-03
[30,] 3.210108e-02 1.853786e-02 9.608482e-03
[31,] 4.501134e-02 2.678309e-02 1.431140e-02
[32,] 6.000385e-02 3.677926e-02 2.025795e-02
[33,] 7.605843e-02 4.800812e-02 2.725261e-02
[34,] 9.168471e-02 5.957038e-02 3.484474e-02
[35,] 1.051272e-01 7.027387e-02 4.234522e-02
[36,] 1.146861e-01 7.882420e-02 4.891436e-02
[37,] 1.190741e-01 8.408057e-02 5.371148e-02
[38,] 1.177064e-01 8.530743e-02 5.607105e-02
[39,] 1.108307e-01 8.234526e-02 5.565500e-02
[40,] 9.945836e-02 7.564517e-02 5.253269e-02
[41,] 8.512082e-02 6.615687e-02 4.716256e-02
[42,] 6.953272e-02 5.510819e-02 4.028189e-02
[43,] 5.426294e-02 4.374644e-02 3.274113e-02
[44,] 4.049818e-02 3.311621e-02 2.533408e-02
[45,] 2.893962e-02 2.392482e-02 1.866962e-02
[46,] 1.982528e-02 1.651057e-02 1.311044e-02
[47,] 1.303688e-02 1.089513e-02 8.778699e-03
[48,] 8.239503e-03 6.882756e-03 5.609273e-03
[49,] 5.010645e-03 4.167679e-03 3.423222e-03
[50,] 2.934631e-03 2.422086e-03 1.997384e-03

> 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  
      8.067        0.860  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/77kp11378234810.ps",horizontal=F,onefile=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]  3.505007  3.651741  3.798476  3.945210  4.091945  4.238679  4.385413
 [8]  4.532148  4.678882  4.825617  4.972351  5.119085  5.265820  5.412554
[15]  5.559289  5.706023  5.852758  5.999492  6.146226  6.292961  6.439695
[22]  6.586430  6.733164  6.879898  7.026633  7.173367  7.320102  7.466836
[29]  7.613570  7.760305  7.907039  8.053774  8.200508  8.347242  8.493977
[36]  8.640711  8.787446  8.934180  9.080915  9.227649  9.374383  9.521118
[43]  9.667852  9.814587  9.961321 10.108055 10.254790 10.401524 10.548259
[50] 10.694993

$yords
 [1]  80.33329  80.87071  81.40813  81.94554  82.48296  83.02038  83.55779
 [8]  84.09521  84.63263  85.17004  85.70746  86.24488  86.78229  87.31971
[15]  87.85713  88.39454  88.93196  89.46938  90.00679  90.54421  91.08163
[22]  91.61904  92.15646  92.69388  93.23129  93.76871  94.30612  94.84354
[29]  95.38096  95.91837  96.45579  96.99321  97.53062  98.06804  98.60546
[36]  99.14287  99.68029 100.21771 100.75512 101.29254 101.82996 102.36737
[43] 102.90479 103.44221 103.97962 104.51704 105.05446 105.59187 106.12929
[50] 106.66671

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
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[40,] 4.715132e-01 3.898708e-01 2.913776e-01 1.980496e-01 1.245473e-01
[41,] 4.598284e-01 3.947592e-01 3.056309e-01 2.138129e-01 1.359350e-01
[42,] 4.000198e-01 3.568458e-01 2.868788e-01 2.079604e-01 1.361831e-01
[43,] 3.103304e-01 2.877384e-01 2.403780e-01 1.809537e-01 1.228180e-01
[44,] 2.146765e-01 2.069031e-01 1.796580e-01 1.405437e-01 9.906741e-02
[45,] 1.324193e-01 1.326635e-01 1.197418e-01 9.736398e-02 7.132159e-02
[46,] 7.283251e-02 7.584733e-02 7.116372e-02 6.014908e-02 4.579767e-02
[47,] 3.572084e-02 3.866629e-02 3.771156e-02 3.313383e-02 2.622440e-02
[48,] 1.562404e-02 1.757670e-02 1.781937e-02 1.627485e-02 1.338995e-02
[49,] 6.096909e-03 7.125010e-03 7.507859e-03 7.127913e-03 6.096126e-03
[50,] 2.125299e-03 2.576194e-03 2.820751e-03 2.783624e-03 2.474734e-03
             [,44]        [,45]        [,46]        [,47]        [,48]
 [1,] 2.462889e-09 3.354102e-10 4.114661e-11 4.546967e-12 4.526319e-13
 [2,] 7.685455e-09 1.088047e-09 1.387590e-10 1.594122e-11 1.649853e-12
 [3,] 2.138684e-08 3.147823e-09 4.173955e-10 4.986505e-11 5.368082e-12
 [4,] 5.309317e-08 8.127252e-09 1.121169e-09 1.394323e-10 1.564096e-11
 [5,] 1.177568e-07 1.877341e-08 2.700861e-09 3.510821e-10 4.132140e-11
 [6,] 2.346908e-07 3.918019e-08 5.932295e-09 8.182885e-10 1.035475e-10
 [7,] 4.296365e-07 7.660559e-08 1.259505e-08 1.932463e-09 2.806913e-10
 [8,] 7.785791e-07 1.569939e-07 3.020545e-08 5.607009e-09 1.007241e-09
 [9,] 1.669839e-06 4.132587e-07 9.872295e-08 2.252261e-08 4.836903e-09
[10,] 4.959457e-06 1.488051e-06 4.169847e-07 1.078133e-07 2.549408e-08
[11,] 1.824494e-05 6.099893e-06 1.858437e-06 5.136123e-07 1.283981e-07
[12,] 6.845466e-05 2.429806e-05 7.793107e-06 2.255626e-06 5.887271e-07
[13,] 2.388370e-04 8.861044e-05 2.963713e-05 8.933326e-06 2.426240e-06
[14,] 7.538354e-04 2.911022e-04 1.012807e-04 3.174569e-05 8.963949e-06
[15,] 2.138732e-03 8.586823e-04 3.105688e-04 1.011867e-04 2.969787e-05
[16,] 5.451569e-03 2.274945e-03 8.551761e-04 2.895834e-04 8.833354e-05
[17,] 1.249927e-02 5.420771e-03 2.117742e-03 7.452833e-04 2.362702e-04
[18,] 2.582392e-02 1.163879e-02 4.725384e-03 1.728282e-03 5.694391e-04
[19,] 4.817775e-02 2.256571e-02 9.521757e-03 3.619617e-03 1.239659e-03
[20,] 8.135306e-02 3.960548e-02 1.737220e-02 6.865978e-03 2.445339e-03
[21,] 1.246688e-01 6.311093e-02 2.879351e-02 1.184133e-02 4.390558e-03
[22,] 1.739586e-01 9.166935e-02 4.356472e-02 1.867873e-02 7.229111e-03
[23,] 2.221302e-01 1.221460e-01 6.066288e-02 2.723369e-02 1.106375e-02
[24,] 2.618470e-01 1.510253e-01 7.890865e-02 3.740941e-02 1.612400e-02
[25,] 2.895821e-01 1.768972e-01 9.840429e-02 4.997223e-02 2.322744e-02
[26,] 3.087889e-01 2.028185e-01 1.221404e-01 6.759790e-02 3.444258e-02
[27,] 3.293881e-01 2.364346e-01 1.563578e-01 9.529773e-02 5.349408e-02
[28,] 3.622874e-01 2.862492e-01 2.081599e-01 1.390441e-01 8.510153e-02
[29,] 4.110987e-01 3.548356e-01 2.802793e-01 2.020608e-01 1.326223e-01
[30,] 4.664184e-01 4.329643e-01 3.655394e-01 2.801074e-01 1.944825e-01
[31,] 5.077923e-01 4.997742e-01 4.454382e-01 3.590600e-01 2.615067e-01
[32,] 5.137009e-01 5.310081e-01 4.958835e-01 4.180145e-01 3.179013e-01
[33,] 4.736944e-01 5.113440e-01 4.982466e-01 4.378653e-01 3.469126e-01
[34,] 3.946010e-01 4.429232e-01 4.491493e-01 4.107992e-01 3.386628e-01
[35,] 2.969077e-01 3.443332e-01 3.623906e-01 3.444869e-01 2.952835e-01
[36,] 2.044651e-01 2.411375e-01 2.618311e-01 2.581026e-01 2.298192e-01
[37,] 1.345193e-01 1.545941e-01 1.703237e-01 1.730564e-01 1.597203e-01
[38,] 9.317685e-02 9.507214e-02 1.015757e-01 1.045021e-01 9.933068e-02
[39,] 7.667401e-02 6.207537e-02 5.839086e-02 5.796546e-02 5.567082e-02
[40,] 7.567671e-02 4.842398e-02 3.595231e-02 3.115779e-02 2.872441e-02
[41,] 7.980365e-02 4.505839e-02 2.658383e-02 1.810090e-02 1.444439e-02
[42,] 8.099057e-02 4.439676e-02 2.330426e-02 1.268502e-02 7.922019e-03
[43,] 7.528700e-02 4.188682e-02 2.144412e-02 1.046933e-02 5.260907e-03
[44,] 6.295623e-02 3.612615e-02 1.880426e-02 8.992551e-03 4.085134e-03
[45,] 4.707445e-02 2.800972e-02 1.504620e-02 7.327688e-03 3.273905e-03
[46,] 3.141383e-02 1.941466e-02 1.081613e-02 5.439191e-03 2.478598e-03
[47,] 1.869727e-02 1.200907e-02 6.949662e-03 3.625161e-03 1.706642e-03
[48,] 9.923669e-03 6.625240e-03 3.984619e-03 2.159171e-03 1.054568e-03
[49,] 4.696519e-03 3.259322e-03 2.037573e-03 1.147499e-03 5.822364e-04
[50,] 1.981897e-03 1.429755e-03 9.291168e-04 5.438920e-04 2.868176e-04
             [,49]        [,50]
 [1,] 4.058894e-14 3.278873e-15
 [2,] 1.538355e-13 1.292424e-14
 [3,] 5.208577e-13 4.557009e-14
 [4,] 1.584082e-12 1.450768e-13
 [5,] 4.418698e-12 4.316737e-13
 [6,] 1.214292e-11 1.337281e-12
 [7,] 3.912519e-11 5.275241e-12
 [8,] 1.739629e-10 2.851386e-11
 [9,] 9.645603e-10 1.767110e-10
[10,] 5.481083e-09 1.067433e-09
[11,] 2.898523e-08 5.902669e-09
[12,] 1.385029e-07 2.936217e-08
[13,] 5.936752e-07 1.308671e-07
[14,] 2.280123e-06 5.224621e-07
[15,] 7.851645e-06 1.869942e-06
[16,] 2.427234e-05 6.008043e-06
[17,] 6.747438e-05 1.735863e-05
[18,] 1.690221e-04 4.519756e-05
[19,] 3.825236e-04 1.063554e-04
[20,] 7.849082e-04 2.270987e-04
[21,] 1.468189e-03 4.429550e-04
[22,] 2.527205e-03 7.987187e-04
[23,] 4.072927e-03 1.360991e-03
[24,] 6.332752e-03 2.272143e-03
[25,] 9.906739e-03 3.885568e-03
[26,] 1.617135e-02 6.996010e-03
[27,] 2.761226e-02 1.307677e-02
[28,] 4.759910e-02 2.426683e-02
[29,] 7.907470e-02 4.275016e-02
[30,] 1.221813e-01 6.937888e-02
[31,] 1.719518e-01 1.020212e-01
[32,] 2.180257e-01 1.348062e-01
[33,] 2.477280e-01 1.594173e-01
[34,] 2.515862e-01 1.683956e-01
[35,] 2.280942e-01 1.587448e-01
[36,] 1.845155e-01 1.334942e-01
[37,] 1.331767e-01 1.001302e-01
[38,] 8.581973e-02 6.700116e-02
[39,] 4.949571e-02 4.002843e-02
[40,] 2.574649e-02 2.140870e-02
[41,] 1.235989e-02 1.033657e-02
[42,] 5.817668e-03 4.618074e-03
[43,] 3.013965e-03 2.035785e-03
[44,] 1.896298e-03 9.968108e-04
[45,] 1.384457e-03 5.940321e-04
[46,] 1.034784e-03 4.074930e-04
[47,] 7.277312e-04 2.839392e-04
[48,] 4.647837e-04 1.854637e-04
[49,] 2.662649e-04 1.098647e-04
[50,] 1.362702e-04 5.835049e-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  
     82.032        1.429  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1e6e21378234810.ps tmp/1e6e21378234810.png",intern=TRUE))
character(0)
> try(system("convert tmp/2rzwd1378234810.ps tmp/2rzwd1378234810.png",intern=TRUE))
character(0)
> try(system("convert tmp/38gpm1378234810.ps tmp/38gpm1378234810.png",intern=TRUE))
character(0)
> try(system("convert tmp/4rtte1378234810.ps tmp/4rtte1378234810.png",intern=TRUE))
character(0)
> try(system("convert tmp/5to3h1378234810.ps tmp/5to3h1378234810.png",intern=TRUE))
character(0)
> try(system("convert tmp/6vpt31378234810.ps tmp/6vpt31378234810.png",intern=TRUE))
character(0)
> try(system("convert tmp/77kp11378234810.ps tmp/77kp11378234810.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.532   0.797   5.328