Re: [R] proc standardize & data frame x and y

From: Wensui Liu <liuwensui_at_gmail.com>
Date: Sun 13 Aug 2006 - 15:31:21 EST

zubin,

for your second question:

supposed you have x1 and x2 and want to combine them in a matrix X in a data frame called data, try the following code:

X<-matrix(1:10, ncol = 2, dimnames = list(NULL, c("x1", "x2")));

class(X)
class(X)<-"AsIs";
class(X)

data<-data.frame(X);
summary(data);

On 8/12/06, zubin <binabina@bellsouth.net> 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"
>
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>

-- 
WenSui Liu
(http://spaces.msn.com/statcompute/blog)
Senior Decision Support Analyst
Health Policy and Clinical Effectiveness
Cincinnati Children Hospital Medical Center

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Received on Sun Aug 13 15:46:22 2006

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