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Data X:
15859.4 15258.9 15498.6 15106.5 15023.6 12083 15761.3 16942.6 15070.3 13659.6 14768.9 14725.1 15998.1 15370.6 14956.9 15469.7 15101.8 11703.7 16283.6 16726.5 14968.9 14861 14583.3 15305.8 17903.9 16379.4 15420.3 17870.5 15912.8 13866.5 17823.2 17872 17422 16704.5 15991.2 16583.6 19123.5 17838.7 17209.4 18586.5 16258.1 15141.6 19202.1 17746.5 19090.1 18040.3 17515.5 17751.8 21072.4 17170 19439.5 19795.4 17574.9 16165.4 19464.6 19932.1 19961.2 17343.4 18924.2 18574.1 21350.6 18594.6 19823.1 20844.4 19640.2 17735.4 19813.6 22238.5 20682.2 17818.6 21872.1 22117 21865.9
Data Y:
12710.3 12120.8 12469.5 12054.6 12112.9 9617.2 12645.8 13581.3 12162.3 10969.7 11880 11887.6 12926.9 12300 12092.8 12380.8 12196.9 9455 13168 13427.9 11980.5 11884.8 11691.7 12233.8 14341.4 13130.7 12421.1 14285.8 12864.6 11160.2 14316.2 14388.7 14013.9 13419 12769.6 13315.5 15332.9 14243 13824.4 14962.9 13202.9 12199 15508.9 14199.8 15169.6 14058 13786.2 14147.9 16541.7 13587.5 15582.4 15802.8 14130.5 12923.2 15612.2 16033.7 16036.6 14037.8 15330.6 15038.3 17401.8 14992.5 16043.7 16929.6 15921.3 14417.2 15961 17851.9 16483.9 14215.5 17429.7 17839.5 17629.2
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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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