Your question is too vague to answer. Many R functions have "predict" methods that can be used to make predictions using a new object (e.g. a data frame) from a fitted object fit on another data frame/object. See e.g. ?predict.lm for an exemplar. But that's the closest I can come to guessing what you want.
I think you need to spend time with a tutorial or two on whatever functions/methods you are using for "machine learning." You should not expect us to do such homework for you. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sun, Oct 13, 2019 at 10:04 AM vod vos via R-help <r-help@r-project.org> wrote: > Hello, > > If we got a data frame like below, how to use "data" to predict type, > if "data" is another data frame (called nested data frame): > > > by_subject > #> # A tibble: 1000 x 3 > #> subject type data > #> <fct> <fct> <list> > #> 1 subject1 aa <tibble [100 × 10]> > #> 2 subject2 bb <tibble [100 × 10]> > #> 3 subject3 cc <tibble [100 × 10]> > #> # … with 997 more rows > > > by_subject$data[[1]] > #> # A tibble: 100 x 10 > #> parts weight length height > #> <int> <dbl> <int> <dbl> > #> 1 1 28.8 100 170 > #> 2 2 30.3 105 169 > #> 2 3 10.5 109 189 > #> # … with 97 more rows > > Sincerely yours, > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
