Re: [R] Converting code to R Question

If you do this sort of thing a lot you may find the psych package helpful: # make example data x <- 1:3 dat <- data.frame(expand.grid(Item1=x, Item2=x, Item3=x, Item4=x)) # make scoring ky key <- c(Item1=1, Item2=2, Item3=1, Item4=1) # load psych library library(psych) # score (scores <- score.

Re: [R] Converting code to R Question

re, TIBCO Software wdunlap tibco.com > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf > Of Jeremy Miles > Sent: Monday, February 25, 2013 5:41 PM > To: Craig J > Cc: r-help > Subject: Re: [R] Converting code to R

Re: [R] Converting code to R Question

Here's a direct translation: Variable <- 0 Variable <- ifelse(item1 == 1, Variable +1, Variable) Variable <- ifelse(item2 == 1, Variable +1, Variable) Variable <- ifelse(item3 == 1, Variable +1, Variable) Variable <- ifelse(item4 == 1, Variable +1, Variable) Here's another way to do it: Vari

[R] Converting code to R Question

I'm learning R and am converting some code from SPSS into R. My background is in SAS/SPSS so the vectorization is new to me and I'm trying to learn how to NOT use loops...or use them sparingly. I'm wondering what the most efficient to tackle a problem I'm working on is. Below is an example piece