for proc standardzize, check ?scale
On 8/12/06, zubin <[EMAIL PROTECTED]> wrote: > > Hello! i know these are basic but i cannot seem to find the answer thru > my searches.. > > 1) Can someone recommend an equivalent to SAS PROC Standardize in R? I > am in need to frequently standardize a data frame, with z-scores, or > squash to 0-1 scale - is there a slick function or package someone can > recommend? > > 2) Also, have data sets with a lot of predictor variables. in the > diabetes data frame i see that fields have been grouped to X and Y > variables, making it very easy to identify X and Y in the regression > techniques. How is this done, how do you group lets say a group of > columns into 1 matrix, within a data frame. example: the AsIs group is > a matrix of X variables: > > > str(diabetes) > `data.frame': 442 obs. of 3 variables: > $ x : AsIs [1:442, 1:10] 0.038075.... -0.00188.... 0.085298.... > -0.08906.... 0.005383.... ... > ..- attr(*, "dimnames")=List of 2 > .. ..$ : NULL > .. ..$ : chr "age" "sex" "bmi" "map" ... > ..- attr(*, "class")= chr "AsIs" > $ y : num 151 75 141 206 135 97 138 63 110 310 ... > $ x2: AsIs [1:442, 1:64] 0.038075.... -0.00188.... 0.085298.... > -0.08906.... 0.005383.... ... > ..- attr(*, ".Names")= chr "age" "age" "age" "age" ... > ..- attr(*, "dimnames")=List of 2 > .. ..$ : chr "1" "2" "3" "4" ... > .. ..$ : chr "age" "sex" "bmi" "map" ... > ..- attr(*, "class")= chr "AsIs" > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > -- WenSui Liu (http://spaces.msn.com/statcompute/blog) Senior Decision Support Analyst Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.