Dear R forum, I have following data.frame -
my_dat = data.frame(sr = c(0,0,0,0, 1, 1, 1, 1, 2, 2, 2, 2), bond = c("A", "B", "B", "B", "A", "B", "B", "B", "A", "B", "B", "B"), cashflow = c(1000, 2000, 2000, 4000, 10, 200, 300, 100, 80, 40, 60, 120)) > my_dat sr bond cashflow 1 0 A 1000 2 0 B 2000 3 0 B 2000 4 0 B 4000 5 1 A 10 6 1 B 200 7 1 B 300 8 1 B 100 9 2 A 80 10 2 B 40 11 2 B 60 12 2 B 120 The above data.frame is just an example. My original data is bit large. My requirement is for given sr no, I need to add the cashflow values, for each bond. Thus, I need the output (as a data.frame) as - # OUTPUT sr bond cashflow_total 1 0 A 1000 2 0 B 8000 3 1 A 10 4 1 B 600 5 2 A 80 6 2 B 220 My - code my_dat$key = paste(my_dat$bond, my_dat$sr, sep = "_") cashflow_total = tapply(my_dat$cashflow, my_dat$key, sum) > cashflow_total A_0 A_1 A_2 B_0 B_1 B_2 1000 10 80 8000 600 220 How do maintain the original order of sr and bond as in my_dat data.frame and obtain the above OUTPUT? Kindly guide. Anna [[alternative HTML version deleted]]
______________________________________________ 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.