Thanks for quick response! I have done. I have tried many configurations of the various examples given there, but the examples are pretty short and none explain how to loop through nonconsecutive variables in a data frame. I've also read dozens of pages that come up when I google "data.frame rnorm" and "data.frame loops", but to no avail.
On Mon, May 19, 2008 at 3:54 PM, Bert Gunter <[EMAIL PROTECTED]> wrote: > If you're serious, start by reading the docs, especially "An Introduction > to > R." There are also other learning resources listed on CRAN. > > -- Bert gunter > Genentech > > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > On > Behalf Of Donald Braman > Sent: Monday, May 19, 2008 12:42 PM > To: r-help@r-project.org > Subject: [R] recoding data with loops > > # I'm new to R and am trying to get the hang of how it handles > # dataframes & loops. If anyone can help me with some simple tasks, > # I'd be much obliged. > > # First, i'd like to generate some random data in a dataframe > # to efficiently illustrate what I'm up to. > # let's say I have six variables as listed below (I really > # have hundreds, but a few will illustrate the point). > # I want to generate my dataframe (mdf) > # with the 6 variables X 100 values with rnorm(7). > # How do I do this? I tried many variations on the following: > > var_list <- c("HEQUAL", "EWEALTH", "ERADEQ", "HREVDIS1", "EDISCRIM", > "HREVDIS2") > for(i in 1:length(var_list)) {var_list[1] <- rnorm(100)} > mdf <- data.frame(cbind(varlist[1:length(var_list)]) > mdf > > > # Then, I'd like to recode the variables that begin with the letter "H". > # I've tried many variations of the following, but to no avail: > > reverse_list <- c("HEQUAL", "HREVDIS1", "HREVDIS2") > reversed_list <- c("RHEQUAL", "RHREVDIS1", "RHREVDIS2") > for(i in 1:length(reverse_list)) > {mdf[ ,e_reversed_list][[i]] <- recode(mdf[ ,e_reverse_list][[i]], > '5:99=NA; 1=4; 2=3; 3=2; 4=1; ', as.factor.result=FALSE) > > # I'm sure I have many deep misunderstandings about the R language, but > # if I can get this much done, I think I'll be well on my way to > understanding R > # and how it works with loops and dataframes. > > # Thanks! > > [[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. > > -- Donald Braman http://www.law.gwu.edu/Faculty/profile.aspx?id=10123 http://research.yale.edu/culturalcognition http://ssrn.com/author=286206 [[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.
