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...y this function to data grouped by each country in the "fitness_data" dataframe, how would I do this? I tried looking through the mailing archives, but couldn't nail down the solution. I tried something like split(mapply( function(a,b,c,d) my_func(fitness_data$h, fitness_data$w, 2.5, my_directory)), fitness_data$country) but this considered fitness_data$h, and fitness_data$w in each single row for a country, rather than a vector of heights or weights across all rows corresponding to that country. Thanks! [[alternative HTML version deleted]]

* I am currently reading in a series of files, applying the same functions to them one at a time, and then merging the resulting data frames e.g.: >MyRows <- c("RowA", "RowB", "RowC")>>File1_DF <- read.delim("\\\\DirectoryToFiles\\File1_Folder\\File1.txt", stringsAsFactors=FALSE, check.names=FALSE)>File1_DF <-