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

R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> z <- c(4.1,4.1,4,3.9,3.8,3.8,4,4.4,4.6,4.6,4.6,4.7,4.8,4.8,4.7,4.7,4.7,4.6,5,5.4,5.5,5.6,5.6,5.8,6,6.1,6.1,6,6,6.1,6.5,7.1,7.4,7.4,7.5,7.6,7.8,7.8,7.7,7.6,7.5,7.3,7.6,8,8,7.9,7.8,7.7,7.8,7.7,7.5,7.3,7.1,7,7.3,7.8,7.9,7.9,7.8,7.8,7.9,7.8,7.6,7.4,7.2,6.9,7.1,7.5,7.6,7.4,7.3,7.2,7.3,7.2,7.1,7,6.9,6.8,7.2,7.6,7.7,7.6,7.5,7.5,7.6,7.6,7.6,7.5,7.3,7.2,7.4,8,8.2,8,7.7,7.7,7.8,7.8,7.7,7.5,7.3,7.1,7.1,7.2,6.8,6.6,6.4,6.4,6.5,6.3,5.9,5.5,5.2,4.9,5.4,5.8,5.7,5.6,5.5,5.4,5.4,5.4,5.5,5.8,5.7,5.4,5.6,5.8,6.2,6.8,6.7,6.7,6.4,6.3,6.3,6.4,6.3,6,6.3,6.3,6.6,7.5,7.8,7.9,7.8,7.6,7.5,7.6,7.5,7.3,7.6,7.5,7.6,7.9,7.9,8.1,8.2,8,7.5,6.8,6.5,6.6,7.6,8,8.1,7.7,7.5,7.6,7.8,7.8,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.2,7.9,7.3,6.9,6.6,6.7,6.9,7,7.1,7.2,7.1,6.9,7,6.8,6.4,6.7,6.6,6.4,6.3,6.2,6.5,6.8,6.8,6.4,6.1,5.8,6.1,7.2,7.3,6.9,6.1,5.8,6.2,7.1,7.7,7.9,7.7,7.4,7.5,8,8.1)
> y <- c(3.88
+ ,3.98
+ ,3.29
+ ,2.88
+ ,3.22
+ ,3.62
+ ,3.82
+ ,3.54
+ ,2.53
+ ,2.22
+ ,2.85
+ ,2.78
+ ,2.28
+ ,2.26
+ ,2.71
+ ,2.77
+ ,2.77
+ ,2.64
+ ,2.56
+ ,2.07
+ ,2.32
+ ,2.16
+ ,2.23
+ ,2.4
+ ,2.84
+ ,2.77
+ ,2.93
+ ,2.91
+ ,2.69
+ ,2.38
+ ,2.58
+ ,3.19
+ ,2.82
+ ,2.72
+ ,2.53
+ ,2.7
+ ,2.42
+ ,2.5
+ ,2.31
+ ,2.41
+ ,2.56
+ ,2.76
+ ,2.71
+ ,2.44
+ ,2.46
+ ,2.12
+ ,1.99
+ ,1.86
+ ,1.88
+ ,1.82
+ ,1.74
+ ,1.71
+ ,1.38
+ ,1.27
+ ,1.19
+ ,1.28
+ ,1.19
+ ,1.22
+ ,1.47
+ ,1.46
+ ,1.96
+ ,1.88
+ ,2.03
+ ,2.04
+ ,1.9
+ ,1.8
+ ,1.92
+ ,1.92
+ ,1.97
+ ,2.46
+ ,2.36
+ ,2.53
+ ,2.31
+ ,1.98
+ ,1.46
+ ,1.26
+ ,1.58
+ ,1.74
+ ,1.89
+ ,1.85
+ ,1.62
+ ,1.3
+ ,1.42
+ ,1.15
+ ,0.42
+ ,0.74
+ ,1.02
+ ,1.51
+ ,1.86
+ ,1.59
+ ,1.03
+ ,0.44
+ ,0.82
+ ,0.86
+ ,0.58
+ ,0.59
+ ,0.95
+ ,0.98
+ ,1.23
+ ,1.17
+ ,0.84
+ ,0.74
+ ,0.65
+ ,0.91
+ ,1.19
+ ,1.3
+ ,1.53
+ ,1.94
+ ,1.79
+ ,1.95
+ ,2.26
+ ,2.04
+ ,2.16
+ ,2.75
+ ,2.79
+ ,2.88
+ ,3.36
+ ,2.97
+ ,3.1
+ ,2.49
+ ,2.2
+ ,2.25
+ ,2.09
+ ,2.79
+ ,3.14
+ ,2.93
+ ,2.65
+ ,2.67
+ ,2.26
+ ,2.35
+ ,2.13
+ ,2.18
+ ,2.9
+ ,2.63
+ ,2.67
+ ,1.81
+ ,1.33
+ ,0.88
+ ,1.28
+ ,1.26
+ ,1.26
+ ,1.29
+ ,1.1
+ ,1.37
+ ,1.21
+ ,1.74
+ ,1.76
+ ,1.48
+ ,1.04
+ ,1.62
+ ,1.49
+ ,1.79
+ ,1.8
+ ,1.58
+ ,1.86
+ ,1.74
+ ,1.59
+ ,1.26
+ ,1.13
+ ,1.92
+ ,2.61
+ ,2.26
+ ,2.41
+ ,2.26
+ ,2.03
+ ,2.86
+ ,2.55
+ ,2.27
+ ,2.26
+ ,2.57
+ ,3.07
+ ,2.76
+ ,2.51
+ ,2.87
+ ,3.14
+ ,3.11
+ ,3.16
+ ,2.47
+ ,2.57
+ ,2.89
+ ,2.63
+ ,2.38
+ ,1.69
+ ,1.96
+ ,2.19
+ ,1.87
+ ,1.6
+ ,1.63
+ ,1.22
+ ,1.21
+ ,1.49
+ ,1.64
+ ,1.66
+ ,1.77
+ ,1.82
+ ,1.78
+ ,1.28
+ ,1.29
+ ,1.37
+ ,1.12
+ ,1.51
+ ,2.24
+ ,2.94
+ ,3.09
+ ,3.46
+ ,3.64
+ ,4.39
+ ,4.15
+ ,5.21
+ ,5.8
+ ,5.91
+ ,5.39
+ ,5.46
+ ,4.72
+ ,3.14
+ ,2.63
+ ,2.32
+ ,1.93
+ ,0.62
+ ,0.6
+ ,-0.37
+ ,-1.1
+ ,-1.68
+ ,-0.78)
> x <- c(153.3
+ ,154.5
+ ,155.2
+ ,156.9
+ ,157
+ ,157.4
+ ,157.2
+ ,157.5
+ ,158
+ ,158.5
+ ,159
+ ,159.3
+ ,160
+ ,160.8
+ ,161.9
+ ,162.5
+ ,162.7
+ ,162.8
+ ,162.9
+ ,163
+ ,164
+ ,164.7
+ ,164.8
+ ,164.9
+ ,165
+ ,165.8
+ ,166.1
+ ,167.2
+ ,167.7
+ ,168.3
+ ,168.6
+ ,168.9
+ ,169.1
+ ,169.5
+ ,169.6
+ ,169.7
+ ,169.8
+ ,170.4
+ ,170.9
+ ,171.9
+ ,171.9
+ ,172
+ ,172
+ ,172.4
+ ,173
+ ,173.7
+ ,173.8
+ ,173.8
+ ,173.9
+ ,174.6
+ ,175
+ ,175.9
+ ,176
+ ,175.1
+ ,175.6
+ ,175.9
+ ,176.7
+ ,176.1
+ ,176.1
+ ,176.2
+ ,176.3
+ ,177.8
+ ,178.5
+ ,179.4
+ ,179.5
+ ,179.6
+ ,179.7
+ ,179.7
+ ,179.8
+ ,179.9
+ ,180.2
+ ,180.4
+ ,180.4
+ ,181.3
+ ,181.9
+ ,182.5
+ ,182.7
+ ,183.1
+ ,183.6
+ ,183.7
+ ,183.8
+ ,183.9
+ ,184.1
+ ,184.4
+ ,184.5
+ ,185.9
+ ,186.6
+ ,187.6
+ ,187.8
+ ,187.9
+ ,188
+ ,188.3
+ ,188.4
+ ,188.5
+ ,188.5
+ ,188.6
+ ,188.6
+ ,189.4
+ ,190
+ ,191.9
+ ,192.5
+ ,193
+ ,193.5
+ ,193.9
+ ,194.2
+ ,194.9
+ ,194.9
+ ,194.9
+ ,194.9
+ ,195.5
+ ,196
+ ,196.2
+ ,196.2
+ ,196.2
+ ,196.2
+ ,197
+ ,197.7
+ ,198
+ ,198.2
+ ,198.5
+ ,198.6
+ ,199.5
+ ,200
+ ,201.3
+ ,202.2
+ ,202.9
+ ,203.5
+ ,203.5
+ ,204
+ ,204.1
+ ,204.3
+ ,204.5
+ ,204.8
+ ,205.1
+ ,205.7
+ ,206.5
+ ,206.9
+ ,207.1
+ ,207.8
+ ,208
+ ,208.5
+ ,208.6
+ ,209
+ ,209.1
+ ,209.7
+ ,209.8
+ ,209.9
+ ,210
+ ,210.8
+ ,211.4
+ ,211.7
+ ,212
+ ,212.2
+ ,212.4
+ ,212.9
+ ,213.4
+ ,213.7
+ ,214
+ ,214.3
+ ,214.8
+ ,215
+ ,215.9
+ ,216.4
+ ,216.9
+ ,217.2
+ ,217.5
+ ,217.9
+ ,218.1
+ ,218.6
+ ,218.9
+ ,219.3
+ ,220.4
+ ,220.9
+ ,221
+ ,221.8
+ ,222
+ ,222.2
+ ,222.5
+ ,222.9
+ ,223.1
+ ,223.4
+ ,224
+ ,225.1
+ ,225.5
+ ,225.9
+ ,226.3
+ ,226.5
+ ,227
+ ,227.3
+ ,227.8
+ ,228.1
+ ,228.4
+ ,228.5
+ ,228.8
+ ,229
+ ,229.1
+ ,229.3
+ ,229.6
+ ,229.9
+ ,230
+ ,230.2
+ ,230.8
+ ,231
+ ,231.7
+ ,231.9
+ ,233
+ ,235.1
+ ,236
+ ,236.9
+ ,237.1
+ ,237.5
+ ,238.2
+ ,238.9
+ ,239.1
+ ,240
+ ,240.2
+ ,240.5
+ ,240.7
+ ,241.1
+ ,241.4
+ ,242.2
+ ,242.9
+ ,243.2
+ ,243.9)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = 'Werkloosheidsgraad mannen'
> par6 = 'Inflatie'
> par5 = 'Uurlonen'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> ylab = ''
> xlab = ''
> main = ''
> #'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/1ee4s1257337198.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/23tq91257337198.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/3jcdv1257337198.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/498fh1257337198.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/524vh1257337198.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  
   2.465736    -0.001801  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6kqlo1257337198.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] -2.11294894 -1.94037959 -1.76781025 -1.59524091 -1.42267156 -1.25010222
 [7] -1.07753287 -0.90496353 -0.73239418 -0.55982484 -0.38725549 -0.21468615
[13] -0.04211681  0.13045254  0.30302188  0.47559123  0.64816057  0.82072992
[19]  0.99329926  1.16586861  1.33843795  1.51100729  1.68357664  1.85614598
[25]  2.02871533  2.20128467  2.37385402  2.54642336  2.71899271  2.89156205
[31]  3.06413139  3.23670074  3.40927008  3.58183943  3.75440877  3.92697812
[37]  4.09954746  4.27211681  4.44468615  4.61725549  4.78982484  4.96239418
[43]  5.13496353  5.30753287  5.48010222  5.65267156  5.82524091  5.99781025
[49]  6.17037959  6.34294894

$yords
 [1] 3.483843 3.586544 3.689244 3.791944 3.894644 3.997345 4.100045 4.202745
 [9] 4.305445 4.408146 4.510846 4.613546 4.716247 4.818947 4.921647 5.024347
[17] 5.127048 5.229748 5.332448 5.435148 5.537849 5.640549 5.743249 5.845950
[25] 5.948650 6.051350 6.154050 6.256751 6.359451 6.462151 6.564852 6.667552
[33] 6.770252 6.872952 6.975653 7.078353 7.181053 7.283753 7.386454 7.489154
[41] 7.591854 7.694555 7.797255 7.899955 8.002655 8.105356 8.208056 8.310756
[49] 8.413456 8.516157

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 6.893654e-86 6.941203e-83 5.223900e-80 2.936583e-77 1.232877e-74
 [2,] 1.854621e-80 1.597891e-77 1.029772e-74 4.957957e-72 1.782813e-69
 [3,] 3.218471e-75 2.370674e-72 1.307994e-69 5.393354e-67 1.661072e-64
 [4,] 3.606235e-70 2.267293e-67 1.070550e-64 3.780147e-62 9.971399e-60
 [5,] 2.613727e-65 1.398478e-62 5.646705e-60 1.707121e-57 3.856648e-55
 [6,] 1.229416e-60 5.567763e-58 1.919799e-55 4.967546e-53 9.610564e-51
 [7,] 3.775135e-56 1.433129e-53 4.208985e-51 9.315343e-49 1.543112e-46
 [8,] 7.643020e-52 2.391744e-49 5.954907e-47 1.125923e-44 1.596498e-42
 [9,] 1.036142e-47 2.601343e-45 5.444254e-43 8.774353e-41 1.064371e-38
[10,] 9.605224e-44 1.860292e-41 3.224562e-39 4.411743e-37 4.573558e-35
[11,] 6.223969e-40 8.871235e-38 1.242862e-35 1.432862e-33 1.266996e-31
[12,] 2.857919e-36 2.877603e-34 3.141861e-32 3.012598e-30 2.264091e-28
[13,] 9.276117e-33 6.493399e-31 5.276060e-29 4.116631e-27 2.612575e-25
[14,] 2.092040e-29 1.036335e-27 5.996161e-26 3.681281e-24 1.950373e-22
[15,] 3.205535e-26 1.171641e-24 4.716444e-23 2.179189e-21 9.452386e-20
[16,] 3.272247e-23 9.248867e-22 2.616541e-20 8.688176e-19 2.992119e-17
[17,] 2.194990e-20 4.986337e-19 1.029534e-17 2.384791e-16 6.250133e-15
[18,] 9.592469e-18 1.798361e-16 2.841182e-15 4.600583e-14 8.753424e-13
[19,] 2.717607e-15 4.273673e-14 5.383691e-13 6.296464e-12 8.395843e-11
[20,] 4.977446e-13 6.627913e-12 6.855100e-11 6.068025e-10 5.636589e-09
[21,] 5.885343e-11 6.670828e-10 5.769696e-09 4.037402e-08 2.683155e-07
[22,] 4.489674e-09 4.344222e-08 3.176068e-07 1.814280e-06 9.025627e-06
[23,] 2.209655e-07 1.828079e-06 1.136596e-05 5.410802e-05 2.108564e-04
[24,] 7.020659e-06 4.970533e-05 2.636975e-04 1.059110e-03 3.348540e-03
[25,] 1.442403e-04 8.743790e-04 3.965707e-03 1.353324e-02 3.553316e-02
[26,] 1.922930e-03 9.985114e-03 3.876309e-02 1.128634e-01 2.496819e-01
[27,] 1.675045e-02 7.454860e-02 2.479893e-01 6.178880e-01 1.162637e+00
[28,] 9.660587e-02 3.689032e-01 1.053412e+00 2.253848e+00 3.637670e+00
[29,] 3.775097e-01 1.239887e+00 3.050875e+00 5.642752e+00 7.912007e+00
[30,] 1.035433e+00 2.940909e+00 6.290176e+00 1.020279e+01 1.273049e+01
[31,] 2.082291e+00 5.173789e+00 9.791188e+00 1.430403e+01 1.648760e+01
[32,] 3.206837e+00 7.122562e+00 1.227850e+01 1.674104e+01 1.849689e+01
[33,] 3.957957e+00 8.114130e+00 1.317828e+01 1.728811e+01 1.879850e+01
[34,] 4.140322e+00 8.065927e+00 1.263855e+01 1.636868e+01 1.834290e+01
[35,] 3.796136e+00 7.110199e+00 1.099092e+01 1.478376e+01 1.833228e+01
[36,] 2.962727e+00 5.438570e+00 8.733236e+00 1.295153e+01 1.780798e+01
[37,] 1.894457e+00 3.604553e+00 6.343843e+00 1.025615e+01 1.442509e+01
[38,] 1.008764e+00 2.095874e+00 3.975638e+00 6.494744e+00 8.655781e+00
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             [,41]        [,42]        [,43]        [,44]        [,45]
 [1,] 4.630012e-02 1.701941e-01 4.945739e-01 1.101182e+00 1.851038e+00
 [2,] 2.428399e-01 7.028103e-01 1.677096e+00 3.138820e+00 4.483544e+00
 [3,] 9.120446e-01 1.992488e+00 3.780151e+00 5.844714e+00 7.039259e+00
 [4,] 2.506134e+00 4.013569e+00 5.807190e+00 7.208292e+00 7.223777e+00
 [5,] 5.008651e+00 5.906343e+00 6.305382e+00 6.072141e+00 5.033639e+00
 [6,] 7.107255e+00 6.413654e+00 5.103239e+00 3.888310e+00 3.053802e+00
 [7,] 7.141826e+00 5.286334e+00 3.554626e+00 2.885144e+00 3.316558e+00
 [8,] 5.715299e+00 3.999076e+00 3.110584e+00 3.731467e+00 5.362901e+00
 [9,] 5.096077e+00 3.864219e+00 3.708477e+00 4.992215e+00 6.682605e+00
[10,] 5.480640e+00 4.091616e+00 3.860005e+00 4.741846e+00 5.514145e+00
[11,] 5.022392e+00 3.406027e+00 2.917499e+00 3.137847e+00 3.144607e+00
[12,] 3.580190e+00 2.565531e+00 2.349738e+00 2.389863e+00 2.219796e+00
[13,] 3.675885e+00 4.139949e+00 4.781550e+00 5.025567e+00 4.725130e+00
[14,] 8.518821e+00 1.117461e+01 1.297942e+01 1.314955e+01 1.181830e+01
[15,] 2.026049e+01 2.538492e+01 2.774562e+01 2.645594e+01 2.236606e+01
[16,] 3.794918e+01 4.425762e+01 4.523091e+01 4.080719e+01 3.307590e+01
[17,] 5.763023e+01 6.279922e+01 6.104831e+01 5.373751e+01 4.343279e+01
[18,] 7.724101e+01 8.059147e+01 7.708742e+01 6.825631e+01 5.564003e+01
[19,] 9.757040e+01 1.002522e+02 9.605740e+01 8.501231e+01 6.779846e+01
[20,] 1.169684e+02 1.194463e+02 1.135197e+02 9.791873e+01 7.453728e+01
[21,] 1.324212e+02 1.333201e+02 1.235227e+02 1.025455e+02 7.532236e+01
[22,] 1.433614e+02 1.410365e+02 1.268683e+02 1.029695e+02 7.661115e+01
[23,] 1.487072e+02 1.438513e+02 1.280041e+02 1.052627e+02 8.237588e+01
[24,] 1.452564e+02 1.411248e+02 1.277303e+02 1.087191e+02 8.845573e+01
[25,] 1.355394e+02 1.354335e+02 1.264977e+02 1.105664e+02 9.057480e+01
[26,] 1.309158e+02 1.342801e+02 1.267172e+02 1.099753e+02 8.799414e+01
[27,] 1.346442e+02 1.355349e+02 1.234682e+02 1.028163e+02 7.914010e+01
[28,] 1.317999e+02 1.252747e+02 1.077228e+02 8.549610e+01 6.353052e+01
[29,] 1.109008e+02 9.968447e+01 8.194526e+01 6.288165e+01 4.519408e+01
[30,] 8.088702e+01 7.079122e+01 5.689767e+01 4.229099e+01 2.861747e+01
[31,] 5.468833e+01 4.719021e+01 3.666975e+01 2.548829e+01 1.546455e+01
[32,] 3.383829e+01 2.784802e+01 2.003790e+01 1.246785e+01 6.545989e+00
[33,] 1.700989e+01 1.280492e+01 8.243246e+00 4.481192e+00 2.009310e+00
[34,] 6.214754e+00 4.179674e+00 2.368813e+00 1.115292e+00 4.263941e-01
[35,] 1.555912e+00 9.253588e-01 4.587481e-01 1.866202e-01 6.094345e-02
[36,] 2.601319e-01 1.361814e-01 5.889489e-02 2.069805e-02 5.790111e-03
[37,] 2.902004e-02 1.353437e-02 5.265998e-03 1.705548e-03 4.603396e-04
[38,] 6.277919e-03 4.895787e-03 3.322621e-03 1.806312e-03 7.554180e-04
[39,] 3.638584e-02 3.069978e-02 1.988489e-02 9.713541e-03 3.555679e-03
[40,] 2.042660e-01 1.499455e-01 8.367659e-02 3.509148e-02 1.101449e-02
[41,] 7.479586e-01 4.750237e-01 2.279971e-01 8.207528e-02 2.210171e-02
[42,] 1.787260e+00 9.805709e-01 4.051132e-01 1.254159e-01 2.904811e-02
[43,] 2.830277e+00 1.345165e+00 4.807107e-01 1.287946e-01 2.585249e-02
[44,] 3.114617e+00 1.296730e+00 4.063135e-01 9.568493e-02 1.693419e-02
[45,] 2.649983e+00 9.865426e-01 2.768975e-01 5.854643e-02 9.322849e-03
[46,] 1.975656e+00 6.643899e-01 1.681328e-01 3.198911e-02 4.572736e-03
[47,] 1.283187e+00 3.833527e-01 8.584373e-02 1.440024e-02 1.808775e-03
[48,] 6.383266e-01 1.659703e-01 3.226973e-02 4.690714e-03 5.096626e-04
[49,] 2.192469e-01 4.910074e-02 8.215360e-03 1.026872e-03 9.588072e-05
[50,] 4.966806e-02 9.544494e-03 1.369881e-03 1.468440e-04 1.175616e-05
             [,46]        [,47]        [,48]        [,49]        [,50]
 [1,] 2.334132e+00 2.202093e+00 1.552667e+00 8.178671e-01 3.218378e-01
 [2,] 4.826911e+00 3.895822e+00 2.352484e+00 1.062461e+00 3.593897e-01
 [3,] 6.451303e+00 4.454703e+00 2.312411e+00 9.067395e-01 2.735013e-01
 [4,] 5.629078e+00 3.370890e+00 1.574563e+00 6.060270e-01 2.128458e-01
 [5,] 3.491731e+00 2.097503e+00 1.195639e+00 6.803867e-01 3.598312e-01
 [6,] 2.618340e+00 2.371201e+00 1.983418e+00 1.361033e+00 7.222661e-01
 [7,] 4.135680e+00 4.364047e+00 3.565632e+00 2.199269e+00 1.016469e+00
 [8,] 6.589069e+00 6.221940e+00 4.414930e+00 2.342995e+00 9.289765e-01
 [9,] 7.168349e+00 5.825476e+00 3.546091e+00 1.613547e+00 5.488178e-01
[10,] 5.081897e+00 3.546305e+00 1.858953e+00 7.333961e-01 2.195247e-01
[11,] 2.520269e+00 1.569333e+00 7.715380e-01 3.114424e-01 1.083418e-01
[12,] 1.791933e+00 1.276395e+00 8.055972e-01 4.383410e-01 1.988940e-01
[13,] 4.013258e+00 3.028876e+00 1.953103e+00 1.045302e+00 4.663460e-01
[14,] 9.476552e+00 6.652526e+00 4.001620e+00 2.071309e+00 9.540634e-01
[15,] 1.684413e+01 1.123140e+01 6.662468e+00 3.594188e+00 1.778843e+00
[16,] 2.429799e+01 1.626606e+01 1.000984e+01 5.632164e+00 2.793548e+00
[17,] 3.228674e+01 2.197576e+01 1.352813e+01 7.318128e+00 3.341230e+00
[18,] 4.104891e+01 2.692493e+01 1.542305e+01 7.567701e+00 3.135072e+00
[19,] 4.752635e+01 2.888964e+01 1.526466e+01 7.160430e+00 3.080119e+00
[20,] 4.940327e+01 2.897473e+01 1.581056e+01 8.432258e+00 4.321217e+00
[21,] 4.995359e+01 3.167600e+01 2.009508e+01 1.229273e+01 6.614580e+00
[22,] 5.478047e+01 3.906934e+01 2.690391e+01 1.645932e+01 8.328780e+00
[23,] 6.314390e+01 4.673639e+01 3.143587e+01 1.799676e+01 8.398660e+00
[24,] 6.875301e+01 4.945635e+01 3.135177e+01 1.678495e+01 7.393382e+00
[25,] 6.885632e+01 4.738128e+01 2.859141e+01 1.471500e+01 6.328815e+00
[26,] 6.465499e+01 4.296776e+01 2.520275e+01 1.268059e+01 5.318266e+00
[27,] 5.634803e+01 3.646132e+01 2.073169e+01 9.959918e+00 3.901823e+00
[28,] 4.387571e+01 2.723774e+01 1.451756e+01 6.368347e+00 2.226798e+00
[29,] 2.964013e+01 1.695080e+01 8.080734e+00 3.102090e+00 9.362605e-01
[30,] 1.699250e+01 8.497703e+00 3.462653e+00 1.123022e+00 2.851128e-01
[31,] 7.920670e+00 3.325381e+00 1.121023e+00 2.992535e-01 6.259743e-02
[32,] 2.821182e+00 9.772455e-01 2.686496e-01 5.819987e-02 9.887613e-03
[33,] 7.255380e-01 2.074239e-01 4.653325e-02 8.165497e-03 1.120145e-03
[34,] 1.295234e-01 3.079316e-02 5.685761e-03 8.137458e-04 9.040620e-05
[35,] 1.565931e-02 3.122092e-03 4.794083e-04 5.656981e-05 5.137373e-06
[36,] 1.266108e-03 2.137432e-04 2.767960e-05 2.746260e-06 2.094263e-07
[37,] 1.042608e-04 1.992962e-05 3.195001e-06 4.205680e-07 4.421200e-08
[38,] 2.389296e-04 5.675261e-05 1.009327e-05 1.342218e-06 1.333796e-07
[39,] 9.731754e-04 1.989991e-04 3.039421e-05 3.467153e-06 2.953863e-07
[40,] 2.583974e-03 4.528699e-04 5.928726e-05 5.797483e-06 4.234654e-07
[41,] 4.448319e-03 6.689847e-04 7.517569e-05 6.312544e-06 3.961360e-07
[42,] 5.031402e-03 6.517268e-04 6.314242e-05 4.576800e-06 2.482689e-07
[43,] 3.887921e-03 4.382181e-04 3.703606e-05 2.348274e-06 1.117661e-07
[44,] 2.253066e-03 2.254586e-04 1.697594e-05 9.621189e-07 4.105481e-08
[45,] 1.117864e-03 1.009067e-04 6.854876e-06 3.503019e-07 1.345968e-08
[46,] 4.908025e-04 3.953098e-05 2.387961e-06 1.081296e-07 3.668434e-09
[47,] 1.700537e-04 1.196265e-05 6.294839e-07 2.477113e-08 7.288184e-10
[48,] 4.138685e-05 2.511432e-06 1.138718e-07 3.857492e-09 9.762441e-11
[49,] 6.687294e-06 3.483806e-07 1.355593e-08 3.939685e-10 8.551509e-12
[50,] 7.029169e-07 3.138805e-08 1.046753e-09 2.606978e-11 4.848900e-13

> 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  
     7.7749      -0.4491  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/7t2tu1257337198.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] 141.6636 143.9875 146.3115 148.6354 150.9593 153.2833 155.6072 157.9311
 [9] 160.2551 162.5790 164.9029 167.2269 169.5508 171.8747 174.1987 176.5226
[17] 178.8466 181.1705 183.4944 185.8184 188.1423 190.4662 192.7902 195.1141
[25] 197.4380 199.7620 202.0859 204.4098 206.7338 209.0577 211.3816 213.7056
[33] 216.0295 218.3534 220.6774 223.0013 225.3253 227.6492 229.9731 232.2971
[41] 234.6210 236.9449 239.2689 241.5928 243.9167 246.2407 248.5646 250.8885
[49] 253.2125 255.5364

$yords
 [1] 3.483843 3.586544 3.689244 3.791944 3.894644 3.997345 4.100045 4.202745
 [9] 4.305445 4.408146 4.510846 4.613546 4.716247 4.818947 4.921647 5.024347
[17] 5.127048 5.229748 5.332448 5.435148 5.537849 5.640549 5.743249 5.845950
[25] 5.948650 6.051350 6.154050 6.256751 6.359451 6.462151 6.564852 6.667552
[33] 6.770252 6.872952 6.975653 7.078353 7.181053 7.283753 7.386454 7.489154
[41] 7.591854 7.694555 7.797255 7.899955 8.002655 8.105356 8.208056 8.310756
[49] 8.413456 8.516157

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 8.197124e-02 1.441516e-01 2.140565e-01 2.721483e-01 2.972969e-01
 [2,] 1.220004e-01 2.206461e-01 3.344129e-01 4.321890e-01 4.803198e-01
 [3,] 1.653039e-01 3.084338e-01 4.784641e-01 6.293950e-01 7.111350e-01
 [4,] 2.036898e-01 3.932544e-01 6.262706e-01 8.401584e-01 9.651507e-01
 [5,] 2.280442e-01 4.567906e-01 7.490567e-01 1.027261e+00 1.200814e+00
 [6,] 2.317855e-01 4.828609e-01 8.176932e-01 1.149449e+00 1.369257e+00
 [7,] 2.137352e-01 4.640530e-01 8.137399e-01 1.175808e+00 1.430208e+00
 [8,] 1.787057e-01 4.051210e-01 7.374415e-01 1.098354e+00 1.367412e+00
 [9,] 1.354141e-01 3.210366e-01 6.079734e-01 9.358942e-01 1.195627e+00
[10,] 9.295568e-02 2.307829e-01 4.555866e-01 7.266491e-01 9.551162e-01
[11,] 5.778661e-02 1.504180e-01 3.100617e-01 5.135738e-01 6.963532e-01
[12,] 3.252324e-02 8.884780e-02 1.915236e-01 3.301156e-01 4.628800e-01
[13,] 1.656807e-02 4.754211e-02 1.073101e-01 1.928243e-01 2.802495e-01
[14,] 7.637900e-03 2.303854e-02 5.451145e-02 1.022773e-01 1.544050e-01
[15,] 3.185855e-03 1.010784e-02 2.509456e-02 4.923220e-02 7.734966e-02
[16,] 1.202167e-03 4.014097e-03 1.046550e-02 2.149507e-02 3.520626e-02
[17,] 4.103335e-04 1.442644e-03 3.952727e-03 8.508471e-03 1.455067e-02
[18,] 1.266768e-04 4.691377e-04 1.351696e-03 3.052295e-03 5.458448e-03
[19,] 3.536750e-05 1.380223e-04 4.184221e-04 9.920879e-04 1.858568e-03
[20,] 8.929466e-06 3.673293e-05 1.172296e-04 2.921476e-04 5.750325e-04
[21,] 2.038598e-06 8.842610e-06 2.972528e-05 7.798256e-05 1.623629e-04
[22,] 4.208234e-07 1.925335e-06 6.822896e-06 1.890705e-05 4.240973e-05
[23,] 7.854465e-08 3.791980e-07 1.418952e-06 4.191257e-06 1.064469e-05
[24,] 1.325538e-08 6.758270e-08 2.681941e-07 8.661589e-07 2.796933e-06
[25,] 2.023023e-09 1.091467e-08 4.649810e-08 1.755790e-07 8.639181e-07
[26,] 2.793857e-10 1.604095e-09 7.591477e-09 3.861059e-08 3.231272e-07
[27,] 3.498025e-11 2.172299e-10 1.244745e-09 1.019579e-08 1.326603e-07
[28,] 3.993266e-12 2.805117e-11 2.288738e-10 3.178493e-09 5.374681e-08
[29,] 4.225437e-13 3.734422e-12 5.094668e-11 1.045437e-09 2.032913e-08
[30,] 4.328689e-14 5.738612e-13 1.298603e-11 3.316234e-10 7.025956e-09
[31,] 4.702458e-15 1.063981e-13 3.382895e-12 9.731203e-11 2.202305e-09
[32,] 6.032905e-16 2.187961e-14 8.363203e-13 2.600922e-11 6.245326e-10
[33,] 9.218361e-17 4.482185e-15 1.900906e-13 6.298197e-12 1.600966e-10
[34,] 1.514427e-17 8.612193e-16 3.927083e-14 1.379309e-12 3.708870e-11
[35,] 2.428102e-18 1.514813e-16 7.345186e-15 2.730283e-13 7.764170e-12
[36,] 3.619562e-19 2.418149e-17 1.242202e-15 4.883948e-14 1.468691e-12
[37,] 4.923727e-20 3.493136e-18 1.898669e-16 7.894460e-15 2.510397e-13
[38,] 6.072167e-21 4.561771e-19 2.622478e-17 1.153064e-15 3.877318e-14
[39,] 6.774032e-22 5.383890e-20 3.273104e-18 1.521816e-16 5.411286e-15
[40,] 6.831009e-23 5.741920e-21 3.691368e-19 1.814896e-17 6.824404e-16
[41,] 6.225159e-24 5.533528e-22 3.761808e-20 1.955860e-18 7.778303e-17
[42,] 5.126371e-25 4.818709e-23 3.464213e-21 1.904963e-19 8.016881e-18
[43,] 3.814688e-26 3.791950e-24 2.883268e-22 1.677901e-20 7.488819e-19
[44,] 2.565142e-27 2.696949e-25 2.170335e-23 1.339835e-21 6.397856e-20
[45,] 1.559032e-28 1.734944e-26 1.481554e-24 9.796081e-23 5.174503e-21
[46,] 8.571298e-30 1.012537e-27 9.272628e-26 6.810385e-24 4.428926e-22
[47,] 4.277003e-31 5.426216e-29 5.546000e-27 5.074276e-25 4.962555e-23
[48,] 1.963160e-32 2.794720e-30 3.604605e-28 5.026531e-26 7.847955e-24
[49,] 8.715697e-34 1.587863e-31 3.162040e-29 6.986176e-27 1.446214e-24
[50,] 4.338107e-35 1.235152e-32 3.860246e-30 1.114106e-27 2.626420e-25
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 2.803051e-01 2.359119e-01 1.947435e-01 1.763551e-01 1.729542e-01
 [2,] 4.624456e-01 3.985658e-01 3.371000e-01 3.139032e-01 3.195980e-01
 [3,] 6.976596e-01 6.141229e-01 5.308607e-01 5.073635e-01 5.357948e-01
 [4,] 9.632627e-01 8.638472e-01 7.611428e-01 7.450081e-01 8.151585e-01
 [5,] 1.218026e+00 1.110349e+00 9.944510e-01 9.943713e-01 1.125825e+00
 [6,] 1.411163e+00 1.305297e+00 1.185014e+00 1.207079e+00 1.411982e+00
 [7,] 1.498287e+00 1.404501e+00 1.289111e+00 1.333529e+00 1.608682e+00
 [8,] 1.457740e+00 1.384070e+00 1.281397e+00 1.341698e+00 1.665542e+00
 [9,] 1.299242e+00 1.249639e+00 1.164882e+00 1.230323e+00 1.567674e+00
[10,] 1.060182e+00 1.033859e+00 9.692112e-01 1.029060e+00 1.341993e+00
[11,] 7.914532e-01 7.836743e-01 7.385205e-01 7.857313e-01 1.045283e+00
[12,] 5.400604e-01 5.440649e-01 5.155877e-01 5.481303e-01 7.411927e-01
[13,] 3.365245e-01 3.457485e-01 3.298717e-01 3.496800e-01 4.788183e-01
[14,] 1.913047e-01 2.009830e-01 1.934442e-01 2.042703e-01 2.822672e-01
[15,] 9.912037e-02 1.067925e-01 1.040204e-01 1.095849e-01 1.525959e-01
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[10,] 1.164282e-02 2.477170e-03
[11,] 2.240494e-02 5.000168e-03
[12,] 3.935038e-02 9.207115e-03
[13,] 6.329521e-02 1.552729e-02
[14,] 9.370604e-02 2.412422e-02
[15,] 1.285810e-01 3.481996e-02
[16,] 1.650595e-01 4.720699e-02
[17,] 2.004571e-01 6.088501e-02
[18,] 2.329404e-01 7.558334e-02
[19,] 2.611978e-01 9.092844e-02
[20,] 2.833058e-01 1.059016e-01
[21,] 2.959151e-01 1.184264e-01
[22,] 2.949224e-01 1.256424e-01
[23,] 2.777160e-01 1.250225e-01
[24,] 2.457161e-01 1.158262e-01
[25,] 2.055172e-01 1.000151e-01
[26,] 1.678425e-01 8.205480e-02
[27,] 1.448929e-01 6.773169e-02
[28,] 1.473452e-01 6.262504e-02
[29,] 1.819427e-01 7.083844e-02
[30,] 2.500117e-01 9.423324e-02
[31,] 3.470042e-01 1.321498e-01
[32,] 4.631825e-01 1.815809e-01
[33,] 5.852803e-01 2.377322e-01
[34,] 6.984361e-01 2.947085e-01
[35,] 7.876869e-01 3.459703e-01
[36,] 8.392165e-01 3.845533e-01
[37,] 8.424425e-01 4.036390e-01
[38,] 7.934683e-01 3.981221e-01
[39,] 6.984762e-01 3.669326e-01
[40,] 5.742512e-01 3.147067e-01
[41,] 4.440830e-01 2.512499e-01
[42,] 3.302864e-01 1.885067e-01
[43,] 2.469891e-01 1.364639e-01
[44,] 1.966975e-01 1.001140e-01
[45,] 1.718301e-01 7.882698e-02
[46,] 1.597918e-01 6.800638e-02
[47,] 1.488153e-01 6.183387e-02
[48,] 1.320212e-01 5.570866e-02
[49,] 1.084445e-01 4.748297e-02
[50,] 8.136653e-02 3.733917e-02

> 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  
    3.97495      0.01444  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> system("convert tmp/1ee4s1257337198.ps tmp/1ee4s1257337198.png")
> system("convert tmp/23tq91257337198.ps tmp/23tq91257337198.png")
> system("convert tmp/3jcdv1257337198.ps tmp/3jcdv1257337198.png")
> system("convert tmp/498fh1257337198.ps tmp/498fh1257337198.png")
> system("convert tmp/524vh1257337198.ps tmp/524vh1257337198.png")
> system("convert tmp/6kqlo1257337198.ps tmp/6kqlo1257337198.png")
> system("convert tmp/7t2tu1257337198.ps tmp/7t2tu1257337198.png")
> 
> 
> proc.time()
   user  system elapsed 
  3.501   2.238   3.943