Store regression models in dataframe

Question

I conduct a large number of regression analyses using ols and cph (different models, sensitivity analyses etc) which takes on my computer around two hours. Therefore, I would like to save these models so that I don't have to re-run the same analyses every time I want to work with them. The models all have very structured names, so I can create a list of names as follows:

model.names <- list()[grep("^im", ls())

But how can I use this to save those models? Could they be placed into a data frame?

This could be helpful http://r4ds.had.co.nz/many-models.html & https://www.youtube.com/watch?v=f1e8a3-b5-w — Tung, Sep 17 '18 at 15:34

score 0 · Answer 1 · answered Sep 17 '18 at 14:20

0

I think you are looking for save()

save writes an external representation of R objects to the specified file. The objects can be read back from the file at a later date by using the function load or attach (or data in some cases).

answered Sep 17 '18 at 14:20

vanao veneri

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Save does work - the problem was to get the list in a way that it works. `L – user169605 Sep 17 '18 at 20:59

Store regression models in dataframe

1 Answers1