[R] linear regression by column

David Winsemius dwinsemius at comcast.net
Thu Mar 1 00:45:27 CET 2012


On Feb 29, 2012, at 6:39 PM, David Winsemius wrote:

>
> On Feb 29, 2012, at 1:53 PM, Filoche wrote:
>
>> Hi everyone.
>>
>> I have a DF with the first column being my independant variable and  
>> all
>> other columns the dependent variables.
>>
>> Something like:
>>
>> x	y1	y2	y3
>> ...	...	...	...
>> ...	...	...	...
>>
>> What I'm trying to do is to perform a linear model for each of my  
>> "y". It is
>> pretty simple with loops, but I'm trying to vectorize it using  
>> *apply*.
>>
>> For instance, I tried something like:
>>
>> apply(DF, 1, function(DF){lm(DF[,1] ~ Band1[,2:5])})
>
> apply( DF[2:5], 2, function(x){lm(DF[,1] ~ x)})
>
> You need to use the variable name that you created in the function  
> call and loop over columns, not rows.

I read the request wrong. It would be:

apply( DF[2:5], 2, function(y){y ~ DF$x)})


>
>>
>> But apparently it does not work.
>
> For about four or five reasons.
>
>> .
>
> David Winsemius, MD
> West Hartford, CT
>
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David Winsemius, MD
West Hartford, CT



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