purrroom: purrroom

In TaylorAndrew/atPostAnalyze: Methods for Post-Modeling Analyses

Description

purrroom easily integrates purrr::map modeling into broom. Providing the user with a single tidy dataframe for all models.

Usage

purrroom(mapData, broomCall = function(.) {     tidy(.) })

Arguments

mapData	a purrr call that ends with a mapped model call
broomCall	a broom call (e.g. glance(), tidy()) call wrapped in a function with a dot argument

Value

Tidy data.frame containing all split model summaries.

Examples

mapDat <-
mtcars %>%
  split(.$cyl) %>%
  map(~ lm(mpg ~ wt, data = .))
## As a function call:
broomCall <- function(.) {tidy(., conf.int=T)}
purrroom(mapDat, broomCall)
## Using piping:
mtcars %>%
  split(.$cyl) %>%
  map(~ lm(mpg ~ wt, data = .)) %>%
  purrroom()

TaylorAndrew/atPostAnalyze documentation built on May 9, 2019, 4:23 p.m.