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Data X:
1045.9 1401.9 1027.6 1703.8 1481.3 1422.7 1304.7 1246.1 1417.8 1459.1 1156.4 1304.5 1336.9 1372.3 975.5 1180.8 1361.3 1428.1 1355.9 1781.2 1697 1852 1844.1 1967.2 1747.1 1863.9 1559.3 1675 2237.5 1965.2 1871.5 1752.2 1360.7 1444.3 1621.6 1368 1553.9 1695.3 1397.1 1848.4 1809.2 1551.1 1546.6 1467.9 1662.4 1972.3 1673.5 1762 2019.8 1754.3 1400.4 1453.6 1740.9 1694.6 1541.2 1482.3 1632.1 1837.3 1797 2066.2 1983.8 1601.7 1660.3 1954 1991.9 1881.4 2345.5 1773.1 1719.2 2240.9 1816.4 2171.3 1823.3 2022.5 1991 1920 2168.4 2013.5 1790.8 1855.7 2074 2535.8 1837.2 1805.1 1785.7 2250 1959.7 1890.8 2405.7 2090.3 1666.5 1803.5 1793.8 1488.8 1545 1369.9 1451.6
Data Y:
1593 1477.9 1733.7 1569.7 1843.7 1950.3 1657.5 1772.1 1568.3 1809.8 1646.7 1808.5 1763.9 1625.5 1538.8 1342.4 1645.1 1619.9 1338.1 1505.5 1529.1 1511.9 1656.7 1694.4 1662.3 1588.7 1483.3 1585.6 1658.9 1584.4 1470.6 1618.7 1407.6 1473.9 1515.3 1485.4 1496.1 1493.5 1298.4 1375.3 1507.9 1455.3 1363.3 1392.8 1348.8 1880.3 1669.2 1543.6 1701.2 1516.5 1466.8 1484.1 1577.2 1684.5 1414.7 1674.5 1598.7 1739.1 1674.6 1671.8 1802 1526.8 1580.9 1634.8 1610.3 1712 1678.8 1708.1 1680.6 2056 1624 2021.4 1861.1 1750.8 1767.5 1710.3 2151.5 2047.9 1915.4 1984.7 1896.5 2170.8 2139.9 2330.5 2121.8 2226.8 1857.9 2155.9 2341.7 2290.2 2006.5 2111.9 1731.3 1762.2 1863.2 1943.5 1975.2
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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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