R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'q()' to quit R.

> z <- c(1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1977
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1978
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1979
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1980
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1981
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1982
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1983
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1984
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1985
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1986
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1987
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1988
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1989
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1990
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1991
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1992
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1993
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1994
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1995
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1996
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1997
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1998
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,1999
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2000
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2001
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2002
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2003
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2004
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2005
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006
+ ,2006)
> y <- c(87.28
+ ,87.28
+ ,87.09
+ ,86.92
+ ,87.59
+ ,90.72
+ ,90.69
+ ,90.3
+ ,89.55
+ ,88.94
+ ,88.41
+ ,87.82
+ ,87.07
+ ,86.82
+ ,86.4
+ ,86.02
+ ,85.66
+ ,85.32
+ ,85
+ ,84.67
+ ,83.94
+ ,82.83
+ ,81.95
+ ,81.19
+ ,80.48
+ ,78.86
+ ,69.47
+ ,68.77
+ ,70.06
+ ,73.95
+ ,75.8
+ ,77.79
+ ,81.57
+ ,83.07
+ ,84.34
+ ,85.1
+ ,85.25
+ ,84.26
+ ,83.63
+ ,86.44
+ ,85.3
+ ,84.1
+ ,83.36
+ ,82.48
+ ,81.58
+ ,80.47
+ ,79.34
+ ,82.13
+ ,81.69
+ ,80.7
+ ,79.88
+ ,79.16
+ ,78.38
+ ,77.42
+ ,76.47
+ ,75.46
+ ,74.48
+ ,78.27
+ ,80.7
+ ,79.91
+ ,78.75
+ ,77.78
+ ,81.14
+ ,81.08
+ ,80.03
+ ,78.91
+ ,78.01
+ ,76.9
+ ,75.97
+ ,81.93
+ ,80.27
+ ,78.67
+ ,77.42
+ ,76.16
+ ,74.7
+ ,76.39
+ ,76.04
+ ,74.65
+ ,73.29
+ ,71.79
+ ,74.39
+ ,74.91
+ ,74.54
+ ,73.08
+ ,72.75
+ ,71.32
+ ,70.38
+ ,70.35
+ ,70.01
+ ,69.36
+ ,67.77
+ ,69.26
+ ,69.8
+ ,68.38
+ ,67.62
+ ,68.39
+ ,66.95
+ ,65.21
+ ,66.64
+ ,63.45
+ ,60.66
+ ,62.34
+ ,60.32
+ ,58.64
+ ,60.46
+ ,58.59
+ ,61.87
+ ,61.85
+ ,67.44
+ ,77.06
+ ,91.74
+ ,93.15
+ ,94.15
+ ,93.11
+ ,91.51
+ ,89.96
+ ,88.16
+ ,86.98
+ ,88.03
+ ,86.24
+ ,84.65
+ ,83.23
+ ,81.7
+ ,80.25
+ ,78.8
+ ,77.51
+ ,76.2
+ ,75.04
+ ,74
+ ,75.49
+ ,77.14
+ ,76.15
+ ,76.27
+ ,78.19
+ ,76.49
+ ,77.31
+ ,76.65
+ ,74.99
+ ,73.51
+ ,72.07
+ ,70.59
+ ,71.96
+ ,76.29
+ ,74.86
+ ,74.93
+ ,71.9
+ ,71.01
+ ,77.47
+ ,75.78
+ ,76.6
+ ,76.07
+ ,74.57
+ ,73.02
+ ,72.65
+ ,73.16
+ ,71.53
+ ,69.78
+ ,67.98
+ ,69.96
+ ,72.16
+ ,70.47
+ ,68.86
+ ,67.37
+ ,65.87
+ ,72.16
+ ,71.34
+ ,69.93
+ ,68.44
+ ,67.16
+ ,66.01
+ ,67.25
+ ,70.91
+ ,69.75
+ ,68.59
+ ,67.48
+ ,66.31
+ ,64.81
+ ,66.58
+ ,65.97
+ ,64.7
+ ,64.7
+ ,60.94
+ ,59.08
+ ,58.42
+ ,57.77
+ ,57.11
+ ,53.31
+ ,49.96
+ ,49.4
+ ,48.84
+ ,48.3
+ ,47.74
+ ,47.24
+ ,46.76
+ ,46.29
+ ,48.9
+ ,49.23
+ ,48.53
+ ,48.03
+ ,54.34
+ ,53.79
+ ,53.24
+ ,52.96
+ ,52.17
+ ,51.7
+ ,58.55
+ ,78.2
+ ,77.03
+ ,76.19
+ ,77.15
+ ,75.87
+ ,95.47
+ ,109.67
+ ,112.28
+ ,112.01
+ ,107.93
+ ,105.96
+ ,105.06
+ ,102.98
+ ,102.2
+ ,105.23
+ ,101.85
+ ,99.89
+ ,96.23
+ ,94.76
+ ,91.51
+ ,91.63
+ ,91.54
+ ,85.23
+ ,87.83
+ ,87.38
+ ,84.44
+ ,85.19
+ ,84.03
+ ,86.73
+ ,102.52
+ ,104.45
+ ,106.98
+ ,107.02
+ ,99.26
+ ,94.45
+ ,113.44
+ ,157.33
+ ,147.38
+ ,171.89
+ ,171.95
+ ,132.71
+ ,126.02
+ ,121.18
+ ,115.45
+ ,110.48
+ ,117.85
+ ,117.63
+ ,124.65
+ ,109.59
+ ,111.27
+ ,99.78
+ ,98.21
+ ,99.2
+ ,97.97
+ ,89.55
+ ,87.91
+ ,93.34
+ ,94.42
+ ,93.2
+ ,90.29
+ ,91.46
+ ,89.98
+ ,88.35
+ ,88.41
+ ,82.44
+ ,79.89
+ ,75.69
+ ,75.66
+ ,84.5
+ ,96.73
+ ,87.48
+ ,82.39
+ ,83.48
+ ,79.31
+ ,78.16
+ ,72.77
+ ,72.45
+ ,68.46
+ ,67.62
+ ,68.76
+ ,70.07
+ ,68.55
+ ,65.3
+ ,58.96
+ ,59.17
+ ,62.37
+ ,66.28
+ ,55.62
+ ,55.23
+ ,55.85
+ ,56.75
+ ,50.89
+ ,53.88
+ ,52.95
+ ,55.08
+ ,53.61
+ ,58.78
+ ,61.85
+ ,55.91
+ ,53.32
+ ,46.41
+ ,44.57
+ ,50
+ ,50
+ ,53.36
+ ,46.23
+ ,50.45
+ ,49.07
+ ,45.85
+ ,48.45
+ ,49.96
+ ,46.53
+ ,50.51
+ ,47.58
+ ,48.05
+ ,46.84
+ ,47.67
+ ,49.16
+ ,55.54
+ ,55.82
+ ,58.22
+ ,56.19
+ ,57.77
+ ,63.19
+ ,54.76
+ ,55.74
+ ,62.54
+ ,61.39
+ ,69.6
+ ,79.23
+ ,80
+ ,93.68
+ ,107.63
+ ,100.18
+ ,97.3
+ ,90.45
+ ,80.64
+ ,80.58
+ ,75.82
+ ,85.59
+ ,89.35
+ ,89.42
+ ,104.73
+ ,95.32
+ ,89.27
+ ,90.44
+ ,86.97
+ ,79.98
+ ,81.22
+ ,87.35
+ ,83.64
+ ,82.22
+ ,94.4
+ ,102.18)
> x <- c(255
+ ,280.2
+ ,299.9
+ ,339.2
+ ,374.2
+ ,393.5
+ ,389.2
+ ,381.7
+ ,375.2
+ ,369
+ ,357.4
+ ,352.1
+ ,346.5
+ ,342.9
+ ,340.3
+ ,328.3
+ ,322.9
+ ,314.3
+ ,308.9
+ ,294
+ ,285.6
+ ,281.2
+ ,280.3
+ ,278.8
+ ,274.5
+ ,270.4
+ ,263.4
+ ,259.9
+ ,258
+ ,262.7
+ ,284.7
+ ,311.3
+ ,322.1
+ ,327
+ ,331.3
+ ,333.3
+ ,321.4
+ ,327
+ ,320
+ ,314.7
+ ,316.7
+ ,314.4
+ ,321.3
+ ,318.2
+ ,307.2
+ ,301.3
+ ,287.5
+ ,277.7
+ ,274.4
+ ,258.8
+ ,253.3
+ ,251
+ ,248.4
+ ,249.5
+ ,246.1
+ ,244.5
+ ,243.6
+ ,244
+ ,240.8
+ ,249.8
+ ,248
+ ,259.4
+ ,260.5
+ ,260.8
+ ,261.3
+ ,259.5
+ ,256.6
+ ,257.9
+ ,256.5
+ ,254.2
+ ,253.3
+ ,253.8
+ ,255.5
+ ,257.1
+ ,257.3
+ ,253.2
+ ,252.8
+ ,252
+ ,250.7
+ ,252.2
+ ,250
+ ,251
+ ,253.4
+ ,251.2
+ ,255.6
+ ,261.1
+ ,258.9
+ ,259.9
+ ,261.2
+ ,264.7
+ ,267.1
+ ,266.4
+ ,267.7
+ ,268.6
+ ,267.5
+ ,268.5
+ ,268.5
+ ,270.5
+ ,270.9
+ ,270.1
+ ,269.3
+ ,269.8
+ ,270.1
+ ,264.9
+ ,263.7
+ ,264.8
+ ,263.7
+ ,255.9
+ ,276.2
+ ,360.1
+ ,380.5
+ ,373.7
+ ,369.8
+ ,366.6
+ ,359.3
+ ,345.8
+ ,326.2
+ ,324.5
+ ,328.1
+ ,327.5
+ ,324.4
+ ,316.5
+ ,310.9
+ ,301.5
+ ,291.7
+ ,290.4
+ ,287.4
+ ,277.7
+ ,281.6
+ ,288
+ ,276
+ ,272.9
+ ,283
+ ,283.3
+ ,276.8
+ ,284.5
+ ,282.7
+ ,281.2
+ ,287.4
+ ,283.1
+ ,284
+ ,285.5
+ ,289.2
+ ,292.5
+ ,296.4
+ ,305.2
+ ,303.9
+ ,311.5
+ ,316.3
+ ,316.7
+ ,322.5
+ ,317.1
+ ,309.8
+ ,303.8
+ ,290.3
+ ,293.7
+ ,291.7
+ ,296.5
+ ,289.1
+ ,288.5
+ ,293.8
+ ,297.7
+ ,305.4
+ ,302.7
+ ,302.5
+ ,303
+ ,294.5
+ ,294.1
+ ,294.5
+ ,297.1
+ ,289.4
+ ,292.4
+ ,287.9
+ ,286.6
+ ,280.5
+ ,272.4
+ ,269.2
+ ,270.6
+ ,267.3
+ ,262.5
+ ,266.8
+ ,268.8
+ ,263.1
+ ,261.2
+ ,266
+ ,262.5
+ ,265.2
+ ,261.3
+ ,253.7
+ ,249.2
+ ,239.1
+ ,236.4
+ ,235.2
+ ,245.2
+ ,246.2
+ ,247.7
+ ,251.4
+ ,253.3
+ ,254.8
+ ,250
+ ,249.3
+ ,241.5
+ ,243.3
+ ,248
+ ,253
+ ,252.9
+ ,251.5
+ ,251.6
+ ,253.5
+ ,259.8
+ ,334.1
+ ,448
+ ,445.8
+ ,445
+ ,448.2
+ ,438.2
+ ,439.8
+ ,423.4
+ ,410.8
+ ,408.4
+ ,406.7
+ ,405.9
+ ,402.7
+ ,405.1
+ ,399.6
+ ,386.5
+ ,381.4
+ ,375.2
+ ,357.7
+ ,359
+ ,355
+ ,352.7
+ ,344.4
+ ,343.8
+ ,338
+ ,339
+ ,333.3
+ ,334.4
+ ,328.3
+ ,330.7
+ ,330
+ ,331.6
+ ,351.2
+ ,389.4
+ ,410.9
+ ,442.8
+ ,462.8
+ ,466.9
+ ,461.7
+ ,439.2
+ ,430.3
+ ,416.1
+ ,402.5
+ ,397.3
+ ,403.3
+ ,395.9
+ ,387.8
+ ,378.6
+ ,377.1
+ ,370.4
+ ,362
+ ,350.3
+ ,348.2
+ ,344.6
+ ,343.5
+ ,342.8
+ ,347.6
+ ,346.6
+ ,349.5
+ ,342.1
+ ,342
+ ,342.8
+ ,339.3
+ ,348.2
+ ,333.7
+ ,334.7
+ ,354
+ ,367.7
+ ,363.3
+ ,358.4
+ ,353.1
+ ,343.1
+ ,344.6
+ ,344.4
+ ,333.9
+ ,331.7
+ ,324.3
+ ,321.2
+ ,322.4
+ ,321.7
+ ,320.5
+ ,312.8
+ ,309.7
+ ,315.6
+ ,309.7
+ ,304.6
+ ,302.5
+ ,301.5
+ ,298.8
+ ,291.3
+ ,293.6
+ ,294.6
+ ,285.9
+ ,297.6
+ ,301.1
+ ,293.8
+ ,297.7
+ ,292.9
+ ,292.1
+ ,287.2
+ ,288.2
+ ,283.8
+ ,299.9
+ ,292.4
+ ,293.3
+ ,300.8
+ ,293.7
+ ,293.1
+ ,294.4
+ ,292.1
+ ,291.9
+ ,282.5
+ ,277.9
+ ,287.5
+ ,289.2
+ ,285.6
+ ,293.2
+ ,290.8
+ ,283.1
+ ,275
+ ,287.8
+ ,287.8
+ ,287.4
+ ,284
+ ,277.8
+ ,277.6
+ ,304.9
+ ,294
+ ,300.9
+ ,324
+ ,332.9
+ ,341.6
+ ,333.4
+ ,348.2
+ ,344.7
+ ,344.7
+ ,329.3
+ ,323.5
+ ,323.2
+ ,317.4
+ ,330.1
+ ,329.2
+ ,334.9
+ ,315.8
+ ,315.4
+ ,319.6
+ ,317.3
+ ,313.8
+ ,315.8
+ ,311.3)
> par7 = 'Jaar'
> par6 = 'Colombia'
> par5 = 'USA'
> par4 = 'Y'
> par3 = 'Y'
> par2 = '50'
> par1 = '50'
> par7 <- 'Jaar'
> par6 <- 'Colombia'
> par5 <- 'USA'
> 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$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
+ }
> postscript(file="/var/fisher/rcomp/tmp/1myhi1352815304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/28j6e1352815304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3iovg1352815304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4pbqm1352815304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(d,diag.panel=panel.hist)
> dev.off()
null device 
          1 
> x <- as.vector(x)
> y <- as.vector(y)
> z <- as.vector(z)
> postscript(file="/var/fisher/rcomp/tmp/55acp1352815304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
> image(op$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  
    -6.4567       0.2724  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6qt3w1352815304.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]  38.74633  41.58362  44.42092  47.25821  50.09550  52.93279  55.77009
 [8]  58.60738  61.44467  64.28196  67.11926  69.95655  72.79384  75.63114
[15]  78.46843  81.30572  84.14301  86.98031  89.81760  92.65489  95.49218
[22]  98.32948 101.16677 104.00406 106.84135 109.67865 112.51594 115.35323
[29] 118.19052 121.02782 123.86511 126.70240 129.53969 132.37699 135.21428
[36] 138.05157 140.88886 143.72616 146.56345 149.40074 152.23804 155.07533
[43] 157.91262 160.74991 163.58721 166.42450 169.26179 172.09908 174.93638
[50] 177.77367

$yords
 [1] 1973.780 1974.503 1975.226 1975.949 1976.673 1977.396 1978.119 1978.843
 [9] 1979.566 1980.289 1981.012 1981.736 1982.459 1983.182 1983.906 1984.629
[17] 1985.352 1986.075 1986.799 1987.522 1988.245 1988.969 1989.692 1990.415
[25] 1991.138 1991.862 1992.585 1993.308 1994.031 1994.755 1995.478 1996.201
[33] 1996.925 1997.648 1998.371 1999.094 1999.818 2000.541 2001.264 2001.988
[41] 2002.711 2003.434 2004.157 2004.881 2005.604 2006.327 2007.051 2007.774
[49] 2008.497 2009.220

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 6.870458e-14 4.109990e-13 2.195869e-12 1.047472e-11 4.461455e-11
 [2,] 2.823150e-12 1.660429e-11 8.751113e-11 4.123184e-10 1.735089e-09
 [3,] 7.253362e-11 4.083084e-10 2.099149e-09 9.725781e-09 4.037908e-08
 [4,] 1.400406e-09 6.702355e-09 3.169542e-08 1.407145e-07 5.702232e-07
 [5,] 2.970503e-08 9.901631e-08 3.588879e-07 1.365371e-06 5.112038e-06
 [6,] 6.778472e-07 1.719622e-06 4.352179e-06 1.170343e-05 3.419424e-05
 [7,] 1.137257e-05 2.637917e-05 5.629977e-05 1.145998e-04 2.359559e-04
 [8,] 1.184584e-04 2.672003e-04 5.421497e-04 1.000016e-03 1.716169e-03
 [9,] 7.404654e-04 1.646361e-03 3.276778e-03 5.860108e-03 9.496979e-03
[10,] 2.787723e-03 6.132005e-03 1.206631e-02 2.129137e-02 3.385910e-02
[11,] 6.509213e-03 1.421092e-02 2.778575e-02 4.878472e-02 7.730123e-02
[12,] 1.032003e-02 2.250496e-02 4.411055e-02 7.801479e-02 1.253071e-01
[13,] 1.414734e-02 3.094138e-02 6.124923e-02 1.102987e-01 1.819888e-01
[14,] 2.384629e-02 5.100688e-02 9.950297e-02 1.778645e-01 2.930259e-01
[15,] 5.086753e-02 1.025610e-01 1.892037e-01 3.207526e-01 5.021830e-01
[16,] 1.075304e-01 2.024573e-01 3.480899e-01 5.488462e-01 7.974906e-01
[17,] 1.879720e-01 3.331113e-01 5.365972e-01 7.887744e-01 1.062927e+00
[18,] 2.434780e-01 4.112585e-01 6.282304e-01 8.706686e-01 1.099103e+00
[19,] 2.187116e-01 3.561870e-01 5.222731e-01 6.911052e-01 8.278311e-01
[20,] 1.314023e-01 2.081641e-01 2.959032e-01 3.780066e-01 4.348721e-01
[21,] 5.163264e-02 8.007519e-02 1.111759e-01 1.383115e-01 1.543850e-01
[22,] 1.300901e-02 1.983640e-02 2.703995e-02 3.296832e-02 3.598187e-02
[23,] 2.059811e-03 3.096314e-03 4.157610e-03 4.988362e-03 5.351186e-03
[24,] 2.011599e-04 2.985376e-04 3.956067e-04 4.682137e-04 4.952794e-04
[25,] 1.193245e-05 1.749656e-05 2.290386e-05 2.677577e-05 2.798881e-05
[26,] 4.250778e-07 6.160429e-07 7.970423e-07 9.211770e-07 9.533580e-07
[27,] 9.022792e-09 1.292642e-08 1.653517e-08 1.890901e-08 1.942945e-08
[28,] 1.135161e-10 1.607836e-10 2.034211e-10 2.304876e-10 2.363794e-10
[29,] 8.435397e-13 1.181431e-12 1.479379e-12 1.665382e-12 1.723445e-12
[30,] 3.693968e-15 5.117535e-15 6.351701e-15 7.152401e-15 7.746695e-15
[31,] 9.519093e-18 1.305810e-17 1.619234e-17 1.981750e-17 4.398055e-17
[32,] 1.444547e-20 2.010839e-20 3.375280e-20 1.911935e-19 2.511949e-18
[33,] 1.440794e-23 5.046208e-23 6.476817e-22 1.061356e-20 1.602846e-19
[34,] 7.094310e-26 1.392755e-24 2.715514e-23 4.901435e-22 8.262140e-21
[35,] 3.675801e-27 1.101002e-25 3.125430e-24 8.275037e-23 2.014574e-21
[36,] 1.423305e-27 5.039519e-26 1.596644e-24 4.521704e-23 1.143945e-21
[37,] 7.145764e-28 2.553161e-26 8.147694e-25 2.322305e-23 5.911963e-22
[38,] 7.914572e-28 2.897629e-26 9.472495e-25 2.764928e-23 7.205908e-22
[39,] 1.496793e-27 5.465152e-26 1.781011e-24 5.180287e-23 1.344805e-21
[40,] 1.980922e-27 7.163080e-26 2.311863e-24 6.659705e-23 1.712284e-21
[41,] 1.809148e-27 6.510432e-26 2.091539e-24 5.998540e-23 1.535844e-21
[42,] 1.694193e-27 6.130834e-26 1.980827e-24 5.714022e-23 1.471635e-21
[43,] 1.955274e-27 7.077425e-26 2.286653e-24 6.594486e-23 1.697507e-21
[44,] 1.817034e-27 6.522214e-26 2.089535e-24 5.974857e-23 1.524842e-21
[45,] 1.150871e-27 4.107890e-26 1.309053e-24 3.724330e-23 9.460090e-22
[46,] 9.496968e-28 3.459713e-26 1.125783e-24 3.272067e-23 8.494392e-22
[47,] 1.936886e-27 7.113659e-26 2.332038e-24 6.823846e-23 1.782244e-21
[48,] 3.432457e-27 1.248553e-25 4.053350e-24 1.174429e-22 3.036971e-21
[49,] 3.679559e-27 1.323141e-25 4.246380e-24 1.216281e-22 3.109190e-21
[50,] 2.314517e-27 8.226713e-26 2.609723e-24 7.388639e-23 1.866950e-21
              [,6]         [,7]         [,8]         [,9]        [,10]
 [1,] 1.697693e-10 5.782227e-10 1.772342e-09 4.964854e-09 1.323293e-08
 [2,] 6.519294e-09 2.187390e-08 6.559059e-08 1.762060e-07 4.271688e-07
 [3,] 1.498707e-07 4.968257e-07 1.470635e-06 3.887947e-06 9.190145e-06
 [4,] 2.081960e-06 6.810953e-06 1.991862e-05 5.202882e-05 1.213599e-04
 [5,] 1.792350e-05 5.729076e-05 1.649068e-04 4.252170e-04 9.801020e-04
 [6,] 1.040950e-04 3.095949e-04 8.585335e-04 2.166024e-03 4.916890e-03
 [7,] 5.211240e-04 1.244695e-03 3.055058e-03 7.239948e-03 1.589341e-02
 [8,] 2.863818e-03 4.944728e-03 9.232021e-03 1.833697e-02 3.650924e-02
 [9,] 1.420477e-02 2.031721e-02 2.934407e-02 4.501796e-02 7.371061e-02
[10,] 4.903712e-02 6.602107e-02 8.563850e-02 1.122630e-01 1.542505e-01
[11,] 1.115860e-01 1.492354e-01 1.900222e-01 2.387241e-01 3.051038e-01
[12,] 1.846797e-01 2.536789e-01 3.316571e-01 4.222059e-01 5.319476e-01
[13,] 2.777309e-01 3.965390e-01 5.361453e-01 6.934651e-01 8.627201e-01
[14,] 4.478719e-01 6.393873e-01 8.576318e-01 1.085214e+00 1.297527e+00
[15,] 7.299455e-01 9.899718e-01 1.257775e+00 1.500708e+00 1.682827e+00
[16,] 1.073471e+00 1.345489e+00 1.577327e+00 1.734942e+00 1.793463e+00
[17,] 1.319997e+00 1.519073e+00 1.628840e+00 1.635115e+00 1.542733e+00
[18,] 1.269866e+00 1.350276e+00 1.329499e+00 1.220055e+00 1.051124e+00
[19,] 9.011516e-01 8.959378e-01 8.186831e-01 6.933177e-01 5.511982e-01
[20,] 4.518392e-01 4.257257e-01 3.660048e-01 2.903111e-01 2.176636e-01
[21,] 1.549180e-01 1.402104e-01 1.152341e-01 8.750638e-02 6.450548e-02
[22,] 3.520471e-02 3.098232e-02 2.476916e-02 1.858179e-02 1.443032e-02
[23,] 5.140397e-03 4.444145e-03 3.521546e-03 2.725407e-03 2.434402e-03
[24,] 4.694217e-04 4.024495e-04 3.235513e-04 2.739413e-04 3.035743e-04
[25,] 2.628662e-05 2.261042e-05 1.909490e-05 1.899602e-05 2.680440e-05
[26,] 8.923177e-07 7.849098e-07 7.343626e-07 9.134963e-07 1.586444e-06
[27,] 1.830773e-08 1.703491e-08 1.891847e-08 2.998049e-08 6.015703e-08
[28,] 2.286612e-10 2.378988e-10 3.343420e-10 6.637350e-10 1.565666e-09
[29,] 1.780049e-12 2.288603e-12 4.800557e-12 1.730448e-11 9.575066e-11
[30,] 1.063614e-14 3.611293e-14 2.747660e-13 2.483225e-12 2.139203e-11
[31,] 3.456465e-16 3.932095e-15 4.249304e-14 4.137272e-13 3.603464e-12
[32,] 3.367920e-17 4.078605e-16 4.418534e-15 4.280601e-14 3.712165e-13
[33,] 2.175322e-18 2.656495e-17 2.933538e-16 2.952147e-15 2.737355e-14
[34,] 1.319741e-19 2.019715e-18 2.968250e-17 4.157584e-16 5.474095e-15
[35,] 4.461304e-20 8.920982e-19 1.603287e-17 2.582401e-16 3.721465e-15
[36,] 2.584491e-20 5.213407e-19 9.388515e-18 1.509296e-16 2.165899e-15
[37,] 1.344268e-20 2.730134e-19 4.952594e-18 8.024886e-17 1.161468e-15
[38,] 1.676792e-20 3.483721e-19 6.462097e-18 1.070193e-16 1.582343e-15
[39,] 3.115947e-20 6.443796e-19 1.189361e-17 1.959320e-16 2.880810e-15
[40,] 3.929464e-20 8.048681e-19 1.471469e-17 2.401117e-16 3.497128e-15
[41,] 3.510604e-20 7.163877e-19 1.305116e-17 2.122693e-16 3.082220e-15
[42,] 3.383971e-20 6.947295e-19 1.273400e-17 2.083877e-16 3.044620e-15
[43,] 3.900303e-20 7.999001e-19 1.464273e-17 2.392522e-16 3.489265e-15
[44,] 3.473363e-20 7.061546e-19 1.281369e-17 2.075268e-16 2.999844e-15
[45,] 2.145426e-20 4.344167e-19 7.853836e-18 1.267790e-16 1.827300e-15
[46,] 1.969635e-20 4.079162e-19 7.545364e-18 1.246537e-16 1.839232e-15
[47,] 4.154845e-20 8.645417e-19 1.605677e-17 2.661762e-16 3.938362e-15
[48,] 7.009121e-20 1.443748e-18 2.654140e-17 4.354725e-16 6.376766e-15
[49,] 7.093602e-20 1.444404e-18 2.624900e-17 4.257348e-16 6.162629e-15
[50,] 4.210242e-20 8.473902e-19 1.522166e-17 2.440296e-16 3.491592e-15
             [,11]        [,12]        [,13]        [,14]        [,15]
 [1,] 3.653431e-08 1.162382e-07 4.352547e-07 1.749617e-06 6.851373e-06
 [2,] 9.535570e-07 2.062240e-06 4.762646e-06 1.292823e-05 4.062393e-05
 [3,] 1.948775e-05 3.743264e-05 6.689101e-05 1.185291e-04 2.318582e-04
 [4,] 2.528832e-04 4.714580e-04 7.900597e-04 1.206090e-03 1.738582e-03
 [5,] 2.017782e-03 3.710064e-03 6.096470e-03 8.973795e-03 1.191541e-02
 [6,] 9.995384e-03 1.816225e-02 2.948008e-02 4.275190e-02 5.546888e-02
 [7,] 3.165066e-02 5.664952e-02 9.077714e-02 1.300466e-01 1.665382e-01
 [8,] 6.897057e-02 1.196690e-01 1.877469e-01 2.645616e-01 3.340441e-01
 [9,] 1.230783e-01 1.982846e-01 2.967753e-01 4.046808e-01 4.986312e-01
[10,] 2.212443e-01 3.182710e-01 4.392246e-01 5.643517e-01 6.655047e-01
[11,] 3.991175e-01 5.227129e-01 6.632604e-01 7.945305e-01 8.873292e-01
[12,] 6.645560e-01 8.131659e-01 9.575102e-01 1.070561e+00 1.132931e+00
[13,] 1.031885e+00 1.181245e+00 1.288281e+00 1.338946e+00 1.339066e+00
[14,] 1.465472e+00 1.562747e+00 1.577096e+00 1.520324e+00 1.429342e+00
[15,] 1.773113e+00 1.756385e+00 1.642939e+00 1.470573e+00 1.294469e+00
[16,] 1.743673e+00 1.596958e+00 1.386035e+00 1.158483e+00 9.629166e-01
[17,] 1.373181e+00 1.159912e+00 9.419089e-01 7.553246e-01 6.242508e-01
[18,] 8.588034e-01 6.777316e-01 5.352035e-01 4.467988e-01 4.132056e-01
[19,] 4.215423e-01 3.259717e-01 2.765603e-01 2.749152e-01 3.113098e-01
[20,] 1.634046e-01 1.373226e-01 1.435176e-01 1.798970e-01 2.370103e-01
[21,] 5.208958e-02 5.410694e-02 7.223603e-02 1.051425e-01 1.472448e-01
[22,] 1.403084e-02 1.872199e-02 2.923837e-02 4.512887e-02 6.409802e-02
[23,] 3.025598e-03 4.847630e-03 8.118331e-03 1.272455e-02 1.802830e-02
[24,] 4.702675e-04 8.331839e-04 1.430265e-03 2.240108e-03 3.149478e-03
[25,] 4.829557e-05 8.963343e-05 1.546611e-04 2.408414e-04 3.366858e-04
[26,] 3.113697e-06 5.888475e-06 1.018480e-05 1.608478e-05 2.419486e-05
[27,] 1.243304e-07 2.457662e-07 4.865841e-07 1.132520e-06 3.558615e-06
[28,] 4.253383e-09 1.519392e-08 7.154498e-08 3.700070e-07 1.835030e-06
[29,] 6.452281e-10 4.362279e-09 2.725815e-08 1.535059e-07 7.737903e-07
[30,] 1.671914e-10 1.171422e-09 7.335961e-09 4.103834e-08 2.051050e-07
[31,] 2.804178e-11 1.949820e-10 1.212097e-09 6.743898e-09 3.364384e-08
[32,] 2.887147e-12 2.020221e-11 1.278162e-10 7.367507e-10 3.910462e-09
[33,] 2.371138e-13 1.945956e-12 1.528020e-11 1.149533e-10 8.220896e-10
[34,] 6.675067e-14 7.444898e-13 7.526702e-12 6.856628e-11 5.607345e-10
[35,] 4.793507e-14 5.515602e-13 5.667419e-12 5.199367e-11 4.258322e-10
[36,] 2.774491e-14 3.172554e-13 3.238262e-12 2.950507e-11 2.399734e-10
[37,] 1.501570e-14 1.734049e-13 1.788778e-12 1.648307e-11 1.356775e-10
[38,] 2.088738e-14 2.461539e-13 2.589760e-12 2.432423e-11 2.039560e-10
[39,] 3.780444e-14 4.427832e-13 4.628668e-12 4.318574e-11 3.596176e-10
[40,] 4.546197e-14 5.275048e-13 5.463165e-12 5.050173e-11 4.166879e-10
[41,] 3.995609e-14 4.624336e-13 4.778179e-12 4.407857e-11 3.630316e-10
[42,] 3.971433e-14 4.625019e-13 4.808686e-12 4.463608e-11 3.699024e-10
[43,] 4.542101e-14 5.277451e-13 5.473084e-12 5.066196e-11 4.185717e-10
[44,] 3.870349e-14 4.456878e-13 4.580770e-12 4.202204e-11 3.440686e-10
[45,] 2.351684e-14 2.702494e-13 2.773146e-12 2.541057e-11 2.079198e-10
[46,] 2.423632e-14 2.852259e-13 2.997723e-12 2.813638e-11 2.358345e-10
[47,] 5.201123e-14 6.130747e-13 6.449999e-12 6.056715e-11 5.076233e-10
[48,] 8.333830e-14 9.720632e-13 1.011922e-11 9.401665e-11 7.795879e-10
[49,] 7.961507e-14 9.179697e-13 9.446310e-12 8.675603e-11 7.111121e-10
[50,] 4.458684e-14 5.081520e-13 5.168698e-12 4.692154e-11 3.801581e-10
             [,16]        [,17]        [,18]        [,19]        [,20]
 [1,] 2.483118e-05 8.162655e-05 2.416745e-04 6.429968e-04 1.536275e-03
 [2,] 1.330479e-04 4.168764e-04 1.199893e-03 3.124482e-03 7.322507e-03
 [3,] 5.393004e-04 1.416327e-03 3.766829e-03 9.439424e-03 2.160324e-02
 [4,] 2.563345e-03 4.322372e-03 8.670091e-03 1.900491e-02 4.104003e-02
 [5,] 1.455903e-02 1.723148e-02 2.184719e-02 3.284642e-02 5.768163e-02
 [6,] 6.467618e-02 6.866782e-02 6.882878e-02 7.072882e-02 8.382781e-02
 [7,] 1.909005e-01 1.967841e-01 1.849107e-01 1.643096e-01 1.498771e-01
 [8,] 3.779966e-01 3.845990e-01 3.553566e-01 3.059362e-01 2.600671e-01
 [9,] 5.543616e-01 5.586497e-01 5.175532e-01 4.551986e-01 4.031388e-01
[10,] 7.185258e-01 7.165886e-01 6.760991e-01 6.304013e-01 6.138566e-01
[11,] 9.251491e-01 9.154039e-01 8.882652e-01 8.823843e-01 9.247704e-01
[12,] 1.146364e+00 1.136356e+00 1.140325e+00 1.187314e+00 1.280806e+00
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 [7,] 0.763857946 0.894614333 0.963782693 0.9580274651 0.8806890834
 [8,] 0.631873400 0.732645890 0.785445147 0.7817093947 0.7239028058
 [9,] 0.490702481 0.556849006 0.587062631 0.5777551581 0.5319897270
[10,] 0.432171232 0.460441227 0.457560727 0.4274896661 0.3773431283
[11,] 0.434493003 0.426545823 0.389464801 0.3351555960 0.2751369714
[12,] 0.416736887 0.385571042 0.331454727 0.2698357291 0.2125764431
[13,] 0.367739274 0.329527521 0.278860200 0.2300862837 0.1915569625
[14,] 0.343043567 0.308145744 0.271659569 0.2458982382 0.2347776353
[15,] 0.363220411 0.332489091 0.309250298 0.3050791112 0.3205643465
[16,] 0.398555266 0.360843086 0.338263333 0.3424674959 0.3723945358
[17,] 0.428070514 0.371455366 0.337329835 0.3372800614 0.3692409813
[18,] 0.449602513 0.375133814 0.330214279 0.3260787568 0.3588880114
[19,] 0.439479075 0.358380341 0.311359269 0.3082017307 0.3427652793
[20,] 0.382578184 0.305199219 0.262598445 0.2614505013 0.2940021925
[21,] 0.307776389 0.238505672 0.202433876 0.2025268819 0.2303314888
[22,] 0.233776614 0.176238891 0.149233620 0.1523461341 0.1770792138
[23,] 0.159758455 0.118515800 0.103908480 0.1130152023 0.1381060463
[24,] 0.107156132 0.078830595 0.072993855 0.0856061127 0.1100247387
[25,] 0.093820269 0.066904713 0.059442444 0.0674713695 0.0850610369
[26,] 0.099820267 0.066876019 0.051099554 0.0491368941 0.0557077107
[27,] 0.098513225 0.061711726 0.039757865 0.0299081518 0.0277907309
[28,] 0.088171199 0.052627267 0.029710530 0.0171636793 0.0114728375
[29,] 0.076014199 0.044549643 0.023726646 0.0117265117 0.0056820172
[30,] 0.065081713 0.038186143 0.020159718 0.0096001549 0.0041555071
[31,] 0.055358056 0.032598064 0.017241946 0.0081914359 0.0034966082
[32,] 0.042387661 0.024751531 0.012973102 0.0061025888 0.0025760030
[33,] 0.028229106 0.016074186 0.008207378 0.0037580492 0.0015432062
[34,] 0.018214430 0.010038441 0.004950375 0.0021848257 0.0008631534
[35,] 0.010705420 0.005765936 0.002774047 0.0011922723 0.0004578237
[36,] 0.005213562 0.002790382 0.001333766 0.0005693737 0.0002170864
[37,] 0.004577268 0.002507954 0.001227219 0.0005362961 0.0002092948
[38,] 0.008671534 0.004760124 0.002332249 0.0010199166 0.0003980942
[39,] 0.012526416 0.006810384 0.003304754 0.0014312984 0.0005532806
[40,] 0.012055703 0.006511929 0.003139947 0.0013515534 0.0005193320
[41,] 0.010808508 0.005862228 0.002838840 0.0012274390 0.0004738477
[42,] 0.012301373 0.006688924 0.003246645 0.0014066538 0.0005440154
[43,] 0.012276516 0.006625980 0.003191886 0.0013723569 0.0005266341
[44,] 0.008268049 0.004428843 0.002117738 0.0009039697 0.0003444610
[45,] 0.005824882 0.003166965 0.001538117 0.0006673063 0.0002586122
[46,] 0.010683846 0.005894138 0.002902683 0.0012760310 0.0005007270
[47,] 0.020530896 0.011232898 0.005485090 0.0023904720 0.0009298031
[48,] 0.024409525 0.013203610 0.006374240 0.0027464187 0.0010561061
[49,] 0.017054650 0.009118728 0.004351387 0.0018532049 0.0007044032
[50,] 0.006978817 0.003688294 0.001739687 0.0007323507 0.0002751498
             [,43]        [,44]        [,45]        [,46]        [,47]
 [1,] 5.450656e-02 4.187581e-02 2.889180e-02 1.789484e-02 9.946088e-03
 [2,] 1.889695e-01 1.451230e-01 1.000536e-01 6.189999e-02 3.434950e-02
 [3,] 4.278037e-01 3.275162e-01 2.251752e-01 1.389659e-01 7.695158e-02
 [4,] 6.637401e-01 5.054398e-01 3.465157e-01 2.137948e-01 1.186807e-01
 [5,] 7.790381e-01 5.923487e-01 4.083073e-01 2.550647e-01 1.443526e-01
 [6,] 7.950000e-01 6.118779e-01 4.312464e-01 2.778826e-01 1.633669e-01
 [7,] 7.491733e-01 5.889572e-01 4.265910e-01 2.835059e-01 1.720838e-01
 [8,] 6.235231e-01 4.979851e-01 3.669198e-01 2.479335e-01 1.527459e-01
 [9,] 4.577426e-01 3.663780e-01 2.709900e-01 1.838885e-01 1.137178e-01
[10,] 3.146707e-01 2.466253e-01 1.801123e-01 1.213905e-01 7.483994e-02
[11,] 2.168645e-01 1.637818e-01 1.173766e-01 7.877514e-02 4.888379e-02
[12,] 1.647152e-01 1.258557e-01 9.368305e-02 6.662353e-02 4.443778e-02
[13,] 1.636869e-01 1.417390e-01 1.204441e-01 9.728181e-02 7.303902e-02
[14,] 2.328790e-01 2.297236e-01 2.161004e-01 1.886572e-01 1.506405e-01
[15,] 3.446351e-01 3.602200e-01 3.528541e-01 3.174165e-01 2.596132e-01
[16,] 4.134188e-01 4.435935e-01 4.437800e-01 4.062454e-01 3.372538e-01
[17,] 4.167590e-01 4.553250e-01 4.629501e-01 4.296236e-01 3.607166e-01
[18,] 4.099571e-01 4.527591e-01 4.638541e-01 4.325082e-01 3.640845e-01
[19,] 3.946447e-01 4.369101e-01 4.468826e-01 4.150294e-01 3.475640e-01
[20,] 3.407160e-01 3.775467e-01 3.851775e-01 3.562142e-01 2.968510e-01
[21,] 2.688654e-01 2.985524e-01 3.042827e-01 2.807086e-01 2.332083e-01
[22,] 2.092981e-01 2.336008e-01 2.384482e-01 2.200028e-01 1.827265e-01
[23,] 1.679462e-01 1.905151e-01 1.966644e-01 1.831811e-01 1.535140e-01
[24,] 1.373643e-01 1.580903e-01 1.647510e-01 1.545799e-01 1.303292e-01
[25,] 1.048201e-01 1.192523e-01 1.228401e-01 1.138685e-01 9.480000e-02
[26,] 6.481503e-02 7.108386e-02 7.107352e-02 6.407442e-02 5.190480e-02
[27,] 2.896184e-02 2.994916e-02 2.879354e-02 2.511321e-02 1.971111e-02
[28,] 9.366228e-03 8.525406e-03 7.690670e-03 6.448662e-03 4.903427e-03
[29,] 3.000065e-03 1.901139e-03 1.401173e-03 1.068632e-03 7.739180e-04
[30,] 1.671343e-03 6.599101e-04 2.828610e-04 1.435410e-04 8.350769e-05
[31,] 1.342881e-03 4.660956e-04 1.481428e-04 4.464881e-05 1.375846e-05
[32,] 9.756133e-04 3.315098e-04 1.011059e-04 2.772393e-05 6.871895e-06
[33,] 5.683191e-04 1.876955e-04 5.558840e-05 1.476266e-05 3.515811e-06
[34,] 3.053069e-04 9.670404e-05 2.743404e-05 6.971790e-06 1.587350e-06
[35,] 1.570832e-04 4.816388e-05 1.319864e-05 3.233054e-06 7.080042e-07
[36,] 7.392668e-05 2.248642e-05 6.109525e-06 1.482796e-06 3.214840e-07
[37,] 7.294144e-05 2.270091e-05 6.308940e-06 1.565688e-06 3.469603e-07
[38,] 1.386875e-04 4.312386e-05 1.196811e-05 2.964564e-06 6.554217e-07
[39,] 1.908911e-04 5.878294e-05 1.615635e-05 3.963355e-06 8.677803e-07
[40,] 1.781397e-04 5.454846e-05 1.491123e-05 3.638790e-06 7.927099e-07
[41,] 1.633265e-04 5.026346e-05 1.381099e-05 3.388230e-06 7.421538e-07
[42,] 1.878039e-04 5.787157e-05 1.591810e-05 3.908237e-06 8.565070e-07
[43,] 1.803736e-04 5.513904e-05 1.504415e-05 3.663522e-06 7.962537e-07
[44,] 1.171753e-04 3.558337e-05 9.646704e-06 2.334738e-06 5.044627e-07
[45,] 8.952792e-05 2.768541e-05 7.647561e-06 1.886995e-06 4.158994e-07
[46,] 1.753941e-04 5.484022e-05 1.530559e-05 3.812984e-06 8.478887e-07
[47,] 3.227792e-04 1.000062e-04 2.765381e-05 6.824797e-06 1.503245e-06
[48,] 3.624523e-04 1.110188e-04 3.034902e-05 7.404497e-06 1.612308e-06
[49,] 2.389579e-04 7.234750e-05 1.954915e-05 4.714490e-06 1.014712e-06
[50,] 9.226168e-05 2.761059e-05 7.374493e-06 1.757888e-06 3.739826e-07
             [,48]        [,49]        [,50]
 [1,] 4.958698e-03 2.216615e-03 8.880516e-04
 [2,] 1.708984e-02 7.620261e-03 3.044085e-03
 [3,] 3.822057e-02 1.702258e-02 6.796948e-03
 [4,] 5.926656e-02 2.662414e-02 1.076004e-02
 [5,] 7.398726e-02 3.433012e-02 1.441380e-02
 [6,] 8.741659e-02 4.246846e-02 1.868630e-02
 [7,] 9.497484e-02 4.747293e-02 2.141963e-02
 [8,] 8.535792e-02 4.308675e-02 1.958247e-02
 [9,] 6.373203e-02 3.223068e-02 1.466155e-02
[10,] 4.190929e-02 2.120496e-02 9.658824e-03
[11,] 2.776968e-02 1.434315e-02 6.708076e-03
[12,] 2.742894e-02 1.553858e-02 8.042553e-03
[13,] 5.031894e-02 3.159010e-02 1.800595e-02
[14,] 1.092289e-01 7.166629e-02 4.246634e-02
[15,] 1.921261e-01 1.283296e-01 7.725128e-02
[16,] 2.528180e-01 1.707531e-01 1.037642e-01
[17,] 2.729182e-01 1.857075e-01 1.135173e-01
[18,] 2.757547e-01 1.876197e-01 1.145779e-01
[19,] 2.617307e-01 1.770160e-01 1.074557e-01
[20,] 2.224064e-01 1.496624e-01 9.040733e-02
[21,] 1.741496e-01 1.168012e-01 7.032792e-02
[22,] 1.364205e-01 9.149507e-02 5.510570e-02
[23,] 1.156271e-01 7.823095e-02 4.752553e-02
[24,] 9.866174e-02 6.702962e-02 4.085284e-02
[25,] 7.083434e-02 4.748429e-02 2.854963e-02
[26,] 3.774174e-02 2.462532e-02 1.441521e-02
[27,] 1.388878e-02 8.779740e-03 4.978735e-03
[28,] 3.353263e-03 2.057219e-03 1.131528e-03
[29,] 5.122419e-04 3.056060e-04 1.636018e-04
[30,] 4.996238e-05 2.835016e-05 1.470072e-05
[31,] 4.798505e-06 1.959902e-06 8.668177e-07
[32,] 1.563705e-06 3.398307e-07 7.644119e-08
[33,] 7.512379e-07 1.442681e-07 2.503333e-08
[34,] 3.238450e-07 5.921093e-08 9.704438e-09
[35,] 1.386331e-07 2.427595e-08 3.802240e-09
[36,] 6.226776e-08 1.077484e-08 1.665806e-09
[37,] 6.865516e-08 1.213040e-08 1.913719e-09
[38,] 1.293321e-07 2.277796e-08 3.580520e-09
[39,] 1.695846e-07 2.957956e-08 4.604980e-09
[40,] 1.541665e-07 2.676611e-08 4.148618e-09
[41,] 1.451403e-07 2.534264e-08 3.950791e-09
[42,] 1.675488e-07 2.925555e-08 4.559643e-09
[43,] 1.544642e-07 2.674397e-08 4.132826e-09
[44,] 9.731063e-08 1.675854e-08 2.576704e-09
[45,] 8.187896e-08 1.439843e-08 2.261576e-09
[46,] 1.682948e-07 2.981641e-08 4.715101e-09
[47,] 2.955130e-07 5.184753e-08 8.118670e-09
[48,] 3.133313e-07 5.434516e-08 8.412406e-09
[49,] 1.949190e-07 3.341693e-08 5.113061e-09
[50,] 7.100923e-08 1.203315e-08 1.819893e-09

> 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  
 1993.17955     -0.02166  

> abline(r)
> box()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/73wdo1352815304.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] 218.5063 223.9163 229.3262 234.7362 240.1461 245.5561 250.9660 256.3760
 [9] 261.7859 267.1959 272.6058 278.0157 283.4257 288.8356 294.2456 299.6555
[17] 305.0655 310.4754 315.8854 321.2953 326.7052 332.1152 337.5251 342.9351
[25] 348.3450 353.7550 359.1649 364.5749 369.9848 375.3948 380.8047 386.2146
[33] 391.6246 397.0345 402.4445 407.8544 413.2644 418.6743 424.0843 429.4942
[41] 434.9041 440.3141 445.7240 451.1340 456.5439 461.9539 467.3638 472.7738
[49] 478.1837 483.5937

$yords
 [1] 1973.780 1974.503 1975.226 1975.949 1976.673 1977.396 1978.119 1978.843
 [9] 1979.566 1980.289 1981.012 1981.736 1982.459 1983.182 1983.906 1984.629
[17] 1985.352 1986.075 1986.799 1987.522 1988.245 1988.969 1989.692 1990.415
[25] 1991.138 1991.862 1992.585 1993.308 1994.031 1994.755 1995.478 1996.201
[33] 1996.925 1997.648 1998.371 1999.094 1999.818 2000.541 2001.264 2001.988
[41] 2002.711 2003.434 2004.157 2004.881 2005.604 2006.327 2007.051 2007.774
[49] 2008.497 2009.220

$zden
              [,1]         [,2]         [,3]         [,4]         [,5]
 [1,] 2.614346e-04 5.517205e-04 1.120134e-03 2.119561e-03 3.659173e-03
 [2,] 7.007451e-04 1.388494e-03 2.727359e-03 5.146930e-03 9.061100e-03
 [3,] 1.680655e-03 3.115647e-03 5.786996e-03 1.060725e-02 1.865183e-02
 [4,] 3.517527e-03 6.234840e-03 1.093218e-02 1.908860e-02 3.274032e-02
 [5,] 6.235294e-03 1.089753e-02 1.839262e-02 3.056567e-02 5.028266e-02
 [6,] 9.244994e-03 1.631716e-02 2.719424e-02 4.368639e-02 6.879454e-02
 [7,] 1.170747e-02 2.105941e-02 3.522952e-02 5.568586e-02 8.471166e-02
 [8,] 1.352427e-02 2.458294e-02 4.124434e-02 6.453195e-02 9.552895e-02
 [9,] 1.555548e-02 2.806818e-02 4.657831e-02 7.156314e-02 1.028029e-01
[10,] 1.829481e-02 3.262587e-02 5.321983e-02 7.982644e-02 1.108806e-01
[11,] 2.073264e-02 3.698563e-02 5.996795e-02 8.872711e-02 1.204181e-01
[12,] 2.135238e-02 3.846736e-02 6.277424e-02 9.302194e-02 1.255845e-01
[13,] 2.003873e-02 3.636153e-02 5.979920e-02 8.924317e-02 1.210688e-01
[14,] 1.816589e-02 3.290888e-02 5.413393e-02 8.095418e-02 1.101819e-01
[15,] 1.694744e-02 3.069426e-02 5.044296e-02 7.537811e-02 1.025946e-01
[16,] 1.648531e-02 3.033128e-02 5.051054e-02 7.632243e-02 1.048618e-01
[17,] 1.633483e-02 3.089326e-02 5.284271e-02 8.191216e-02 1.152669e-01
[18,] 1.628661e-02 3.146672e-02 5.513356e-02 8.768451e-02 1.266876e-01
[19,] 1.650412e-02 3.187948e-02 5.619789e-02 9.037471e-02 1.325406e-01
[20,] 1.728156e-02 3.254257e-02 5.632695e-02 8.956285e-02 1.307078e-01
[21,] 1.870607e-02 3.387791e-02 5.652427e-02 8.700516e-02 1.236135e-01
[22,] 2.036667e-02 3.562151e-02 5.715386e-02 8.440872e-02 1.150780e-01
[23,] 2.151802e-02 3.674698e-02 5.722592e-02 8.154180e-02 1.066996e-01
[24,] 2.174708e-02 3.644568e-02 5.549048e-02 7.694604e-02 9.744809e-02
[25,] 2.143977e-02 3.514141e-02 5.222984e-02 7.054032e-02 8.676349e-02
[26,] 2.154935e-02 3.436215e-02 4.954690e-02 6.476167e-02 7.693005e-02
[27,] 2.280435e-02 3.551379e-02 4.974171e-02 6.281750e-02 7.173602e-02
[28,] 2.487545e-02 3.842687e-02 5.307648e-02 6.565765e-02 7.289581e-02
[29,] 2.640634e-02 4.109744e-02 5.699085e-02 7.046508e-02 7.775611e-02
[30,] 2.610686e-02 4.125564e-02 5.801695e-02 7.261926e-02 8.092783e-02
[31,] 2.360954e-02 3.798598e-02 5.436109e-02 6.920404e-02 7.837993e-02
[32,] 1.928709e-02 3.169452e-02 4.628823e-02 6.009186e-02 6.935888e-02
[33,] 1.389641e-02 2.345667e-02 3.514438e-02 4.675010e-02 5.522773e-02
[34,] 8.544429e-03 1.491235e-02 2.307273e-02 3.165466e-02 3.851790e-02
[35,] 4.346344e-03 7.886165e-03 1.267341e-02 1.804154e-02 2.275508e-02
[36,] 1.787474e-03 3.384548e-03 5.672617e-03 8.416466e-03 1.105569e-02
[37,] 5.855112e-04 1.159705e-03 2.032443e-03 3.151910e-03 4.325555e-03
[38,] 1.513573e-04 3.140498e-04 5.764381e-04 9.360125e-04 1.344630e-03
[39,] 3.070265e-05 6.679546e-05 1.285328e-04 2.187697e-04 3.293652e-04
[40,] 4.869530e-06 1.111445e-05 2.243589e-05 4.005528e-05 6.324774e-05
[41,] 6.024152e-07 1.443109e-06 3.057230e-06 5.727793e-06 9.490347e-06
[42,] 5.803268e-08 1.459493e-07 3.245905e-07 6.383775e-07 1.110277e-06
[43,] 4.347930e-09 1.148234e-08 2.681431e-08 5.537249e-08 1.011150e-07
[44,] 2.531127e-10 7.020244e-10 1.721734e-09 3.733860e-09 7.160281e-09
[45,] 1.144054e-11 3.332976e-11 8.585852e-11 1.955699e-10 3.939035e-10
[46,] 4.012537e-13 1.228000e-12 3.323038e-12 7.951165e-12 1.682234e-11
[47,] 1.091488e-14 3.509376e-14 9.976803e-14 2.507868e-13 5.574050e-13
[48,] 2.301841e-16 7.775868e-16 2.322563e-15 6.133834e-15 1.432332e-14
[49,] 3.762215e-18 1.335382e-17 4.190905e-17 1.162924e-16 2.853234e-16
[50,] 4.764351e-20 1.776950e-19 5.859806e-19 1.708554e-18 4.404682e-18
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[30,] 3.154493e-02 1.998933e-02 1.190416e-02 6.924995e-03 4.234334e-03
[31,] 2.026830e-02 1.239162e-02 7.087013e-03 3.827766e-03 2.027102e-03
[32,] 1.344307e-02 7.646422e-03 4.121409e-03 2.098281e-03 1.015696e-03
[33,] 1.013262e-02 5.174149e-03 2.513521e-03 1.166993e-03 5.180828e-04
[34,] 9.015117e-03 4.208703e-03 1.824559e-03 7.450601e-04 2.905088e-04
[35,] 8.662318e-03 3.911349e-03 1.599288e-03 5.968010e-04 2.057957e-04
[36,] 7.979994e-03 3.616417e-03 1.470410e-03 5.367808e-04 1.765428e-04
[37,] 6.588184e-03 3.025684e-03 1.247788e-03 4.608401e-04 1.522451e-04
[38,] 4.809924e-03 2.221897e-03 9.274593e-04 3.481992e-04 1.171687e-04
[39,] 3.219878e-03 1.464584e-03 6.079513e-04 2.290478e-04 7.793042e-05
[40,] 2.179708e-03 9.443632e-04 3.768266e-04 1.380718e-04 4.625349e-05
[41,] 1.706632e-03 6.893813e-04 2.556620e-04 8.731435e-05 2.750157e-05
[42,] 1.594793e-03 6.150881e-04 2.146048e-04 6.800280e-05 1.966759e-05
[43,] 1.592594e-03 6.089818e-04 2.087023e-04 6.415168e-05 1.772147e-05
[44,] 1.557288e-03 5.980931e-04 2.056578e-04 6.324057e-05 1.738239e-05
[45,] 1.516201e-03 5.799167e-04 1.990061e-04 6.119160e-05 1.684083e-05
[46,] 1.556117e-03 5.892729e-04 1.999649e-04 6.080566e-05 1.656721e-05
[47,] 1.639334e-03 6.241198e-04 2.118268e-04 6.413405e-05 1.733456e-05
[48,] 1.592175e-03 6.225885e-04 2.161031e-04 6.661185e-05 1.824358e-05
[49,] 1.303065e-03 5.300050e-04 1.909536e-04 6.095057e-05 1.723968e-05
[50,] 8.593945e-04 3.654946e-04 1.375726e-04 4.583147e-05 1.351481e-05
             [,46]        [,47]        [,48]        [,49]        [,50]
 [1,] 2.268085e-09 8.405270e-10 2.757791e-10 8.008903e-11 2.058311e-11
 [2,] 3.604494e-08 1.400692e-08 4.819887e-09 1.468308e-09 3.959121e-10
 [3,] 4.470145e-07 1.820497e-07 6.567127e-08 2.097757e-08 5.932392e-09
 [4,] 4.334628e-06 1.848841e-06 6.987535e-07 2.339269e-07 6.935037e-08
 [5,] 3.295901e-05 1.471008e-05 5.820227e-06 2.040667e-06 6.338194e-07
 [6,] 1.973192e-04 9.204022e-05 3.808389e-05 1.397138e-05 4.542457e-06
 [7,] 9.355697e-04 4.553396e-04 1.967470e-04 7.542466e-05 2.564025e-05
 [8,] 3.541951e-03 1.794705e-03 8.082248e-04 3.232186e-04 1.147077e-04
 [9,] 1.082476e-02 5.694179e-03 2.665979e-03 1.109738e-03 4.103392e-04
[10,] 2.707253e-02 1.473511e-02 7.151344e-03 3.090409e-03 1.187805e-03
[11,] 5.626386e-02 3.157705e-02 1.583788e-02 7.086335e-03 2.824310e-03
[12,] 9.864404e-02 5.692806e-02 2.943691e-02 1.360822e-02 5.613833e-03
[13,] 1.478753e-01 8.766189e-02 4.669619e-02 2.229243e-02 9.516350e-03
[14,] 1.921590e-01 1.172577e-01 6.449463e-02 3.187641e-02 1.411956e-02
[15,] 2.210802e-01 1.398771e-01 8.003631e-02 4.126515e-02 1.910918e-02
[16,] 2.338935e-01 1.555930e-01 9.389607e-02 5.116538e-02 2.507557e-02
[17,] 2.396907e-01 1.703410e-01 1.099454e-01 6.406892e-02 3.354989e-02
[18,] 2.467925e-01 1.882032e-01 1.301141e-01 8.101096e-02 4.520944e-02
[19,] 2.534426e-01 2.046522e-01 1.494779e-01 9.812084e-02 5.763848e-02
[20,] 2.512253e-01 2.102209e-01 1.591052e-01 1.082636e-01 6.597337e-02
[21,] 2.349745e-01 1.998428e-01 1.539999e-01 1.069423e-01 6.667950e-02
[22,] 2.065101e-01 1.761429e-01 1.363908e-01 9.542967e-02 6.014254e-02
[23,] 1.712433e-01 1.454031e-01 1.121873e-01 7.836487e-02 4.943791e-02
[24,] 1.340081e-01 1.130333e-01 8.660170e-02 6.008999e-02 3.770577e-02
[25,] 9.760632e-02 8.205807e-02 6.257762e-02 4.314833e-02 2.688147e-02
[26,] 6.421144e-02 5.418324e-02 4.145509e-02 2.859904e-02 1.777199e-02
[27,] 3.684480e-02 3.136137e-02 2.430024e-02 1.695455e-02 1.061788e-02
[28,] 1.803429e-02 1.540363e-02 1.214527e-02 8.651576e-03 5.523432e-03
[29,] 7.589863e-03 6.330353e-03 5.042670e-03 3.678732e-03 2.413552e-03
[30,] 2.911144e-03 2.219835e-03 1.729897e-03 1.279623e-03 8.634707e-04
[31,] 1.133474e-03 7.171242e-04 5.057779e-04 3.651338e-04 2.500838e-04
[32,] 4.832283e-04 2.427891e-04 1.386635e-04 8.920061e-05 5.924875e-05
[33,] 2.209928e-04 9.305558e-05 4.133788e-05 2.095253e-05 1.213856e-05
[34,] 1.092286e-04 3.996058e-05 1.455905e-05 5.605717e-06 2.475342e-06
[35,] 6.667667e-05 2.068268e-05 6.264496e-06 1.905238e-06 6.158029e-07
[36,] 5.268323e-05 1.443620e-05 3.698107e-06 9.080310e-07 2.216552e-07
[37,] 4.501216e-05 1.194123e-05 2.858875e-06 6.242303e-07 1.265959e-07
[38,] 3.525528e-05 9.473870e-06 2.273674e-06 4.881548e-07 9.416217e-08
[39,] 2.384307e-05 6.537676e-06 1.602560e-06 3.506338e-07 6.843974e-08
[40,] 1.409545e-05 3.887911e-06 9.661997e-07 2.155057e-07 4.301199e-08
[41,] 7.983101e-06 2.129396e-06 5.195404e-07 1.153220e-07 2.316277e-08
[42,] 5.219248e-06 1.276699e-06 2.886542e-07 6.032149e-08 1.161795e-08
[43,] 4.413817e-06 9.957363e-07 2.046489e-07 3.856724e-08 6.705268e-09
[44,] 4.271459e-06 9.393462e-07 1.852281e-07 3.285336e-08 5.265217e-09
[45,] 4.144742e-06 9.116310e-07 1.791429e-07 3.145539e-08 4.938818e-09
[46,] 4.043739e-06 8.838997e-07 1.729518e-07 3.027882e-08 4.740750e-09
[47,] 4.185867e-06 9.036889e-07 1.745362e-07 3.017084e-08 4.669289e-09
[48,] 4.442480e-06 9.625623e-07 1.857337e-07 3.194492e-08 4.901912e-09
[49,] 4.322293e-06 9.609414e-07 1.895308e-07 3.318165e-08 5.159749e-09
[50,] 3.527913e-06 8.153591e-07 1.668724e-07 3.024969e-08 4.858243e-09

> 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  
  1.976e+03    4.951e-02  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1myhi1352815304.ps tmp/1myhi1352815304.png",intern=TRUE))
character(0)
> try(system("convert tmp/28j6e1352815304.ps tmp/28j6e1352815304.png",intern=TRUE))
character(0)
> try(system("convert tmp/3iovg1352815304.ps tmp/3iovg1352815304.png",intern=TRUE))
character(0)
> try(system("convert tmp/4pbqm1352815304.ps tmp/4pbqm1352815304.png",intern=TRUE))
character(0)
> try(system("convert tmp/55acp1352815304.ps tmp/55acp1352815304.png",intern=TRUE))
character(0)
> try(system("convert tmp/6qt3w1352815304.ps tmp/6qt3w1352815304.png",intern=TRUE))
character(0)
> try(system("convert tmp/73wdo1352815304.ps tmp/73wdo1352815304.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.403   0.852   6.245