I don't have a lot of interest in trying to replicate operations in SAS. If you don't exhibit the willingness to show code in R then ... best of luck. But do read the Posting Guide to at least understand the local expectations.
Good luck; David Sent from my iPhone > On Apr 23, 2017, at 5:26 PM, David L Carlson <dcarl...@tamu.edu> wrote: > > This might work for you: > > cols <- LETTERS # actually this will be cols <- colnames(df) in your example > # Create a data frame to select columns > choose <- data.frame(cols, select=0, stringsAsFactors=FALSE) > # Run the editor and replace 0 with 1 in the select column > # for each variable you wish to include > fix(choose) > # Your list of variables will be the vector mycols > mycols <- choose$cols[choose$select==1] > > > David L. Carlson > Department of Anthropology > Texas A&M University > > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of BR_email > Sent: Sunday, April 23, 2017 3:47 PM > To: Jeff Newmiller <jdnew...@dcn.davis.ca.us>; r-help@r-project.org > Subject: Re: [R] "Copy-pastable" output of 1000 plus variables > > Jeff: > Thanks, Please see my reply to David. > Bruce > > Bruce Ratner, Ph.D. > The Significant Statistician™ > (516) 791-3544 > Statistical Predictive Analtyics -- www.DMSTAT1.com > Machine-Learning Data Mining and Modeling -- www.GenIQ.net > > > Jeff Newmiller wrote: >> Coming from an Excel background, copying and pasting seems attractive, but >> it does not create a reproducible record of what you did so it becomes quite >> tiring and frustrating after some time has passed and you return to your >> analysis. >> >> Nitpick: you put the setdiff function in the row selection position, an >> error I am sure Hadley did not recommend. >> >> Since R is programmable, there are far more ways to select columns than just >> setdiff. Since your description of desired features is vague, you are >> unlikely to get the answer you would really like from your email. Some >> possibilities to think about: >> >> a) use regular expressions and grep or grepl to select by similar character >> patterns. E.g. all columns including the the substring "value" or "key": >> grep( "key|value", names( dta ). Possible to specify very complex selection >> patterns, but there are whole books on regular expressions, so you can't >> expect to learn all about them on this R-specific mailing list. >> >> b) use a separate csv file with a column listing each column name, and then >> one column for each subset you want to define, using TRUE/FALSE values to >> include or not include the column name identified. E.g. >> >> # typically easier to manage in an external data f ______________________________________________ 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.
