Hi, Let say I Have following data:
> Info <- structure(list(Person = structure(1:6, .Label = c("A", "B", "C", + "D", "E", "F"), class = "factor"), Attr1 = c(0.52, 0.14, 0.63, + 0.43, 0.89, 18.46), Attr2 = c(0.06, 3.35, 0.62, 1.42, 1.96, 8.38 + )), .Names = c("Person", "Attr1", "Attr2"), row.names = c(NA, + -6L), class = "data.frame") > Info Person Attr1 Attr2 1 A 0.52 0.06 2 B 0.14 3.35 3 C 0.63 0.62 4 D 0.43 1.42 5 E 0.89 1.96 6 F 18.46 8.38 > Diff <- Info[, 'Attr1'] - Info[, 'Attr2'] > Diff [1] 0.46 -3.21 0.01 -0.99 -1.07 10.08 > Overall_Diff <- sum(Diff) > Overall_Diff [1] 5.28 Now we see that the overall difference between attribute-1 and attribute-2 for persons A-F is 5.28. Now I was asked this question: tell me out of that overall difference, how much is attributed to person A, person B,.... person F? In case the 'Diff' variable all have positive values, I probably consider making a pie-chart. However this is not possible (probably) in this present case, because some values are negative and some values are positive. So my question is how to build a robust graphical representation to answer this question? Your help will be highly appreciated. Thanks for your pointer. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.