predict doesn't know about nesting. You can either unnest or use lapply or purrr:map to create new nested data frames with predicted results, but it is up to you to decide where you want to put the results.
On October 13, 2019 10:03:36 AM PDT, 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. -- Sent from my phone. Please excuse my brevity. ______________________________________________ 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.
