build_messages: Reconcile and Merge Messages
In knapply/ironmarch: Data and Analytical Routines related to IronMarch

Description Usage Arguments Value Author(s) Examples

View source: R/build.R

build_messages() reconciles and merges the messages from im_orig_dfs$orig_message_posts and im_core_dfs$core_message_posts.

build_messages(
  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.

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

# messages summarized to single rows ==================================================
build_messages()

# all message observations ============================================================
build_messages(summarize = FALSE)

# all message observations split into a list of data frames ===========================
split_messages <- build_messages(summarize = FALSE, split = TRUE)

# first five messages that appear in both... ==========================================
# ... `im_orig_dfs$orig_message_posts` and `im_core_dfs$core_message_posts`
split_messages[
  vapply(split_messages, function(.x) nrow(.x) == 2, logical(1L))
][1:5]