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CSV
Data X:
16.42 16.47 16.44 16.44 16.49 16.32 16.47 16.39 16.42 16.39 16.4 16.24 16.42 16.46 16.47 16.37 16.42 16.34 16.41 16.43 16.4 16.35 16.31 16.18 16.29 16.27 16.31 16.28 16.32 16.32 16.37 16.39 16.51 16.5 16.49 16.32 16.37 16.39 16.41 16.39 16.41 16.37 16.4 16.53 16.63 16.64 16.63 16.47 16.46 16.49 16.59 16.58 16.6 16.55 16.57 16.51 16.5 16.49 16.44 16.26 16.33 16.72 16.75 16.74 16.84 16.79 16.66 16.69 16.84 16.86 16.76 16.72
Data Y:
3.42 3.42 3.43 3.47 3.51 3.52 3.52 3.52 3.52 3.52 3.52 3.52 3.52 3.52 3.58 3.6 3.61 3.61 3.61 3.63 3.68 3.69 3.69 3.69 3.69 3.69 3.69 3.69 3.69 3.78 3.79 3.79 3.8 3.8 3.8 3.8 3.81 3.95 3.99 4 4.06 4.16 4.19 4.2 4.2 4.2 4.2 4.2 4.23 4.38 4.43 4.44 4.44 4.44 4.44 4.44 4.45 4.45 4.45 4.45 4.45 4.45 4.45 4.45 4.46 4.46 4.46 4.48 4.58 4.67 4.68 4.68
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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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Big Analytics Cloud Computing Center
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