fill_na: Fills in (replaces) NAs with non-NA values
In jakesherman/missr: Explore, fill in, or create missing values (NAs).

Description Usage Arguments Value

View source: R/fill_na.R

Fills in (replaces) NAs with non-NA values

fill_na(.data, .fill, ..., .args = NULL, .warning = TRUE,
  .inplace = FALSE)

fill_na_mean(.data, ..., .args = NULL, .warning = TRUE, .inplace = FALSE)

fill_na_mean_(.data, ..., .dots, .args = NULL, .warning = TRUE,
  .inplace = FALSE)

fill_na_median(.data, ..., .args = NULL, .warning = TRUE,
  .inplace = FALSE)

fill_na_mode(.data, ..., .dots, .args = NULL, .warning = TRUE,
  .inplace = FALSE)

`.data`	a data.frame, data.table, matrix, list, or vector
`.fill`	x
`...`	a selection of columns to fill when `.data` is a data.frame, data.table, matrix, or list, or arguments to `.fill` when `.data` is a vector. If `.data` is a data.frame, data.table, matrix, or list, a specification of columns to fill, leaving blank will select all columns. Use bare variable names. Select all variables between x and z with x:z, exclude y with -y. For more options, see the `dplyr::select` documentation. For lists, elements are treated as columns. If `.data` is a vector, `...` are arguments to pass to `.fill`. You can still use `.args` to supply arguments to `.fill`, but you cannot use both `...` and `.args` at the same time.
`.args`	for non-vector inputs, a list of arguments to `.fill` if `.fill` is a function (note that the first argument to `.fill` is `.data`)
`.warning`	`TRUE` by default, display a warning when the type of `.fill` is different from the type of `.data`
`.inplace`	`FALSE` by default, if `.data` is a `data.table`, fill in the NAs in place (modify `.data` by reference) if this argument is `TRUE`
`.dots`	Use `fill_na_()` to do standard evaluation. See dplyr's NSE vignette for more information with `vignette("nse", "dplyr")`.