eat: Eat columns from another data frame
In moodymudskipper/safejoin: Join safely and Deal with Conflicting Columns

Description Usage Arguments Details Value

View source: R/03_eat.R

Modified join where only a specified subset of y is kept, with optional checks and transformations.

eat(
  .x,
  .y,
  ...,
  .by = NULL,
  .na_matches = c("na", "never"),
  .match_fun = NULL,
  .agg = NULL,
  .check = "~blC",
  .conflict = NULL,
  .prefix = NULL,
  .fill = NULL,
  .mode = c("left", "right", "inner", "full")
)

`.x, .y`	tbls to join
`...`	One or more unquoted expressions, passed to `dplyr::select`, defining the columns to keep from `.y`
`.by`	a character vector of variables to join by, or a formula defining a joining condition using a notation such as `~ X("var1") > Y("var2") & X("var3") < Y("var4")`
`.na_matches`	Use `"never"` to always treat two `NA` or `NaN` values as different, like joins for database sources, similarly to `merge(incomparables = FALSE).`
`.match_fun`	Vectorized function given two columns, returning `TRUE` or `FALSE` as to whether they are a match. Can be a list of functions one for each pair of columns specified in by (if a named list, it uses the names in `.x`). If only one function is given it is used on all column pairs.
`.agg`	function or formula or `NULL`, if not `NULL`, `.y` will be grouped by its `.by` columns and `.agg` will be applied to all kept columns from `.y`.
`.check`	a string, see details about `check` parameter in ?safe_joins
`.conflict`	if `NULL`, in case of column conflict both columns are suffixed as in dplyr, if a function of two parameters or a formula, a function is applied on both columns. If the string `"patch"`, matched values from `.y` will overwrite existing values in `.x` while the other values will be kept'
`.prefix`	prefix of new columns or function/formula to apply on names of new columns
`.fill`	if not `NULL`, value to fill missing values in eaten columns
`.mode`	type of join on build on, a left join by default