Thanks very much for your contribution, Siraaj. I appreciate you taking the time to help me learn loops, etc. BNC
-----Original Message----- From: Siraaj Khandkar [mailto:sir...@khandkar.net] Sent: Wednesday, August 14, 2013 9:08 PM To: Crombie, Burnette N Cc: r-help@r-project.org Subject: Re: [R] condense repetitive code for read.csv and rename.vars On 08/14/2013 03:43 PM, bcrombie wrote: > Is there a more concise way to write the following code? > > library(gdata) > mydataOUTPUTrtfA <- read.csv("mergedStatstA.csv") > save(mydataOUTPUTrtfA, file="mydataOUTPUTrtfA.RData") mydataOUTPUTrtfA > <- rename.vars(mydataOUTPUTrtfA, from="X", to="Statistics.Calculated", > info=FALSE) > > mydataOUTPUTrtfB <- read.csv("mergedStatstB.csv") > save(mydataOUTPUTrtfB, file="mydataOUTPUTrtfB.RData") mydataOUTPUTrtfB > <- rename.vars(mydataOUTPUTrtfB, from="X", to="Statistics.Calculated", > info=FALSE) > > mydataOUTPUTrtfC <- read.csv("mergedStatstC.csv") > save(mydataOUTPUTrtfC, file="mydataOUTPUTrtfC.RData") mydataOUTPUTrtfC > <- rename.vars(mydataOUTPUTrtfC, from="X", to="Statistics.Calculated", > info=FALSE) > > I will have a series of mydataOUTPUTrtf files spanning a large portion > of the alphabet, so to speak: > e.g. mydataOUTPUTrtfA to mydataOUTPUTrtfG --- thanks for your help > alphabet <- c("FOO", "BAR", "BAZ") for (a in alphabet) { filename <- paste(c("basename", a, ".csv"), collapse="") data <- read.csv(filename) date <- rename.vars( data , from="X" , to="Statistics.Calculated" , info=FALSE ) # do some other stuff with data } You should be able to pick it up from here. In case you need an actual alphabet, it is already predefined: > LETTERS [1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J" "K" "L" "M" "N" "O" "P" "Q" [18] "R" "S" "T" "U" "V" "W" "X" "Y" "Z" > letters [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" [18] "r" "s" "t" "u" "v" "w" "x" "y" "z" > ______________________________________________ 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.
