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Data X:
100.00 108.16 114.02 102.19 110.37 96.86 94.19 99.52 94.06 97.55 78.15 81.24 92.36 96.06 114.05 110.66 104.92 90.00 95.70 86.03 84.85 100.04 80.92 74.07 77.30 97.23 90.76 100.56 92.01 99.24 105.87 90.99 93.31 91.17 77.33 91.13 85.01 83.90 104.86 110.90 95.44 111.62 108.89 96.18 101.97 99.12 86.78 118.42 118.74 106.53 134.78 104.68 105.30 139.41 103.61 99.78 103.46 120.06 96.71 107.13 105.36 111.69 132.05 126.80 154.48 141.56 109.95 127.90 133.09 120.08 117.56 143.04
Data Y:
100.00 99.95 102.07 102.02 102.63 102.88 103.01 104.33 105.21 104.73 104.17 103.69 104.33 105.21 105.31 105.54 106.70 106.60 105.01 104.33 104.17 103.42 102.33 101.82 103.57 103.90 104.58 105.03 105.67 105.69 105.72 105.84 105.79 105.39 105.97 106.50 107.13 109.36 109.36 108.42 107.94 108.10 108.40 110.55 111.81 112.55 111.66 111.38 113.10 115.18 121.07 123.07 123.40 122.92 122.39 123.55 124.97 124.87 123.27 121.96 122.49 125.68 126.76 126.44 125.35 126.01 127.45 130.58 133.09 133.34 132.84 133.80
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color left
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red
grey
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blue
red
black
brown
yellow
color right
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blue
grey
white
blue
red
black
brown
yellow
print densities
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TRUE
TRUE
FALSE
Name of X series
Name of Y series
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R Code
if (par3 == 'TRUE') par3 <- TRUE if (par3 == 'FALSE') par3 <- FALSE library(Hmisc) z <- data.frame(cbind(x,y)) names(z) <- list(par4,par5) bitmap(file='plot.png') out <- histbackback(z, probability=par3, main = main, ylab = ylab) barplot(-out$left, col=par1, horiz=TRUE, space=0, add=TRUE, axes=FALSE) barplot(out$right, col=par2, horiz=TRUE, space=0, add=TRUE, axes=FALSE) dev.off()
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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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