Hi, I am writing a function to dynamically create column names and fill those columns with some basic calculations. My function "demo_fn" takes argument "blup_datacut" and I like to use the contents of those arguments to dynamically create new columns in my dataset. Please note that I have another function called "calc_gg" within the function "demo_fn". Both functions are pasted below. I have a for loop within my function and it appears to only create new column for the last value in the argument "blup_datacut" which makes me think that I am not storing the values coming out of for_loop correctly. I have "expected_results", dataset, & functions pasted below to reproduce my problem and expected results. Any help will be greatly appreciate.
# dataset dem<- structure(list(id = c("L1", "L2", "L3", "M1", "M2", "M3"), TEST_SET_NAME = c("A", "A", "A", "B", "B", "B"), YLD_BE_REG1 = c(1467L, 1455L, 1382L, 1463L, 1466L, 1455L), YLD_BE_REG2 = c(1501L, 1441L, 1421L, 1482L, 1457L, 1490L), IS_GG = c("NO", "NO", "YES", "NO", "NO", "YES" )), .Names = c("id", "TEST_SET_NAME", "YLD_BE_REG1", "YLD_BE_REG2", "IS_GG"), class = "data.frame", row.names = c(NA, -6L)) # function demo_fn demo_fn<- function (dat, blup_datacut = c("REG1", "REG2")) { for (i in seq_along(blup_datacut)) { col_name_gg <- paste("GG", blup_datacut[i], sep = "_") col_mean_gg <- paste("YLD_BE", blup_datacut[i], sep = "_") dat2 <- calc_gg(dataset = dat, col = col_mean_gg, col_name = col_name_gg) } dat2 } # function calc_gg Calc_gg<- function (dataset, col, col_name) { mutate_call = lazyeval::interp(~round(((a - mean(a[IS_GG == "YES"], na.rm = TRUE))/mean(a[IS_GG == "YES"], na.rm = TRUE)) * 100, 1), a = as.name(col)) dataset %>% group_by(TEST_SET_NAME) %>% mutate_(.dots = setNames(list(mutate_call), col_name)) %>% ungroup() } # run function results_demo<- demo_fn(dat = dem) # expected results structure(list(id = c("L1", "L2", "L3", "M1", "M2", "M3"), TEST_SET_NAME = c("A", "A", "A", "B", "B", "B"), YLD_BE_REG1 = c(1467L, 1455L, 1382L, 1463L, 1466L, 1455L), YLD_BE_REG2 = c(1501L, 1441L, 1421L, 1482L, 1457L, 1490L), IS_GG = c("NO", "NO", "YES", "NO", "NO", "YES" ), GG_REG1 = c(6.2, 5.3, 0, 0.5, 0.8, 0), GG_REG2 = c(5.6, 1.4, 0, -0.5, -2.2, 0)), .Names = c("id", "TEST_SET_NAME", "YLD_BE_REG1", "YLD_BE_REG2", "IS_GG", "GG_REG1", "GG_REG2"), row.names = c(NA, -6L), class = "data.frame") Thanks. Nilesh This email and any attachments were sent from a Monsanto email account and may contain confidential and/or privileged information. If you are not the intended recipient, please contact the sender and delete this email and any attachments immediately. Any unauthorized use, including disclosing, printing, storing, copying or distributing this email, is prohibited. All emails and attachments sent to or from Monsanto email accounts may be subject to monitoring, reading, and archiving by Monsanto, including its affiliates and subsidiaries, as permitted by applicable law. Thank you. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.