问题
I want to update a lm
-model using the update
-function inside a map
-call, but this throws the following error:
mtcars %>% group_by(cyl) %>%
nest() %>%
mutate(lm1 = map(data, ~lm(mpg ~ wt, data = .x)),
lm2 = map(lm1, ~update(object = .x, formula = .~ . + hp)))
Error in mutate_impl(.data, dots) :
Evaluation error: cannot coerce class ""lm"" to a data.frame.
Can anyone help me with this problem? I am confused about this error, because e.g. this works totally fine:
mtcars %>% group_by(cyl) %>%
nest() %>%
mutate(lm1 = map(data, ~lm(mpg ~ wt, data = .x)),
lm2 = map_dbl(lm1, ~coefficients(.x)[1]))
回答1:
This is probably related to the environment where update
is being evaluated. A simple workaround is to use map2
and explicitly reference the corresponding data:
library(tidyverse)
mtcars %>% group_by(cyl) %>%
nest() %>%
mutate(lm1 = map(data, ~lm(mpg ~ wt, data = .x)),
lm2 = map2(lm1, data, ~update(object = .x, formula. = .~ . + hp,
data = .y)))
#> # A tibble: 3 x 4
#> cyl data lm1 lm2
#> <dbl> <list> <list> <list>
#> 1 6 <tibble [7 x 10]> <S3: lm> <S3: lm>
#> 2 4 <tibble [11 x 10]> <S3: lm> <S3: lm>
#> 3 8 <tibble [14 x 10]> <S3: lm> <S3: lm>
来源:https://stackoverflow.com/questions/47590037/updating-a-linear-regression-model-with-update-and-purrr