build_members: Reconcile and Merge Members
In knapply/ironmarch: Data and Analytical Routines related to IronMarch

Description Usage Arguments Details Value Author(s) Examples

View source: R/build.R

build_members() reconciles and merges the members found in im_orig_dfs$orig_members and im_core_dfs$core_members.

build_members(
  summarize = TRUE,
  split = FALSE,
  as_tibble = ironmarch_as_tibble()
)

`summarize`	`logical(1L)`, Default: `TRUE`. Whether to aggregate all observations into single rows, prioritizing values found in `im_core_dfs`.
`split`	`logical(1L)`, Default: `FALSE`. Whether to split the result into a named list of separate data frames, retaining all observations. Ignored if `summarize` is `TRUE`.
`as_tibble`	`logical(1L)`, Default: `ironmarch_as_tibble()`. Whether a `tibble::tibble()` should be returned. Ignored if the `{tibble}` package is not installed.

Values found in im_core_dfs$core_members are preferred. Otherwise values found in im_orig_dfs$orig_members are kept.

Data Frame
- default: a tibble::tibble() if as_tibble is TRUE and {tibble} is installed.
- alternative: a data.table::data.table()
If split is TRUE and summarize is FALSE, the result will be a list() of data frames.

Brendan Knapp brendan.g.knapp@gmail.com

# members summarized to single rows ===================================================
build_members()

# all member observations =============================================================
build_members(summarize = FALSE)

# all member observations split into a list of data frames ============================
split_members <- build_members(summarize = FALSE, split = TRUE)

# first three members that appear in both... ==========================================
# ... `im_orig_dfs$orig_members` and `im_core_dfs$core_members`
split_members[
  vapply(split_members, function(.x) nrow(.x) == 2, logical(1L))
][1:3]