[R] proc standardize & data frame x and y

From: zubin <binabina_at_bellsouth.net>
Date: Sun 13 Aug 2006 - 10:45:14 EST

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"

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