[R] apply a function separately on each element of a list

[Daniel Malter]

The easiest way may be to use lmList in the nlme library:

#simulate data
d<-rep(1:10,each=10)
x<-rnorm(100)
e<-rnorm(100)
y<-2*x+e

require(nlme) #or install and load package

lmList(y~x|d)

#predicted values are obtained with:

predict(lmList(y~x|d)

HTH,
Daniel





jeff6868 wrote
> 
> Hi everybody,
> 
> I have a question about applying a specific function (with the
> calculations I want to do), on a list of elements.
> 
> Each elements are like a data.frame (with nrows and ncolumns), and have
> the same structure.
> At frist, I had a big data.frame that I splitted in all my elements of my
> list. They have been splitted by day.
> For example, the name of the first element of my list is "2011-01-01", and
> is a data.frame corresponding to all my data from this specific date. Then
> my second element is "2011-01-02", etc....
> 
> My question is: how can I apply a function on each element separately (a
> bit like a loop)?
> 
> For example, if my data from the first element "2011-01-01" is:
> element1 <- data.frame(x=rnorm(1:10),data=c(1:10))
> 
> I would like to do a regression between "x" and "data (so lm(data ~x) ),
> to get the predicted values of the regression, and then to keep the
> results in a new object.
> 
> And then, do the same with the second element (regression between "x" and
> "data" of the second element), keep the results of the predicted values
> and keep the results.
> 
> ... and so one with 200 elements.
> 
> Is there any way to do this?
> 
> Thanks a lot!
> 




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