[R] Scaling part of a data frame

[Robert Schick]

I have a 30 x 27 data frame, which I'm trying to scale and transform.
Only I want to scale certain all variables except one (the dependent,
which I want to log+1 transform). I can use split() and then scale() and
log1p(), but I'm wondering if I can do this in one call.

I tried apply(), but I could only get the whole data frame, not a part
of it:

> test <- apply(chin.sub, 2, log1p)    is fine, but when I try to get only one column transformed

> test <- apply(chin.sub, chin.sub$density, log1p)
Error in apply(chin.sub, chin.sub$density, log1p) : 
        subscript out of bounds

I've tried using tapply:

> test <- tapply(chin.sub, chin.sub$density, log1p)
Error in tapply(chin.sub, chin.sub$density, log1p) : 
        arguments must have same length

Any advice on how to accomplish this?

On a related note how could I go about running the data frame
iteratively through a series of lm() statements without cutting and
pasting similar commands with diff variables or hardcoding the column
names?

e.g. do lm(x~y1)
	lm(x~y2)
	...
     end

Thanks in advance, Rob

> version
platform i386-pc-mingw32
arch     i386           
os       mingw32        
system   i386, mingw32  
status                  
major    1              
minor    6.0            
year     2002           
month    10             
day      01             
language R   
-- 
Rob Schick
Research Associate
NOAA Fisheries
Santa Cruz Lab
110 Shaffer Road
Santa Cruz, CA 95060
Phone: 831.420.3960
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