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rsplinesmoothing

Feeding paramteres to a function as a list in R

I would like to compare different models and in order to save time I though about whether it is possible to feed in a list of values for a single argument in a function, and possibly plot the results.

My concrete example - I am interested in smoothing splines so the model is:

fit <- smooth.splines( x=train_x, y=train_y, df=seq(2, 20, by=0.5) )

which is all fine, but how do i select the different fits with via the "df"s?

Solution

  • Ugly but you could do a loop

    fits_out <- list()
for(i in 1:50){
fits[[i]] <- smooth.splines( x=train_x, y=train_y, df=i )
}

    Then you can access each model fit from within the list object