Hi everyone!
I have an array containing the following fields for over hundred compounds:
cpd, activity, fixterm, energy1, energy2, energy3, ...
I want to run a multiple linear regression on all entries of an array.
Therefore I tried to do this with a for loop. (Maybe there is a direct way of
calculating it using apply, but I don't know that either.)
Actually i tried the following code:
...
> attach(data)
> for(i in 1:length(cpd)) {
> fitted.model <- lm(activity ~ fixterm + i)
> coef(fitted.model)
> }
...
Unfortunatly this loop doesn't give the intended correlation coefficients of
each regression. If I insert a line "print(i)" into the loop the desired values
for i are printed correctly. Only the coefficient outputs are missing.
Probably the solution is very near, but I just can't see it.
Many thanks in advance,
Markus
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