| nest_replace_na {nplyr} | R Documentation |
Replace NAs with specified values in a column of nested data frames
Description
nest_replace_na() is used to replace missing values in selected columns of
nested data frames using values specified by column.
Usage
nest_replace_na(.data, .nest_data, replace, ...)
Arguments
.data |
A data frame, data frame extension (e.g., a tibble), or a lazy data frame (e.g., from dbplyr or dtplyr). |
.nest_data |
A list-column containing data frames |
replace |
A list of values, with one value for each column in that has |
... |
Additional arguments for |
Details
nest_replace_na() is a wrapper for tidyr::replace_na() and maintains the functionality
of replace_na() within each nested data frame. For more information on replace_na()
please refer to the documentation in 'tidyr'.
Value
An object of the same type as .data. Each object in the column .nest_data
will have NAs replaced in the specified columns.
See Also
Other tidyr verbs:
nest_drop_na(),
nest_extract(),
nest_fill(),
nest_separate(),
nest_unite()
Examples
set.seed(123)
gm <- gapminder::gapminder %>% mutate(pop = if_else(runif(n()) >= 0.9,NA_integer_,pop))
gm_nest <- gm %>% tidyr::nest(country_data = -continent)
gm_nest %>%
nest_replace_na(.nest_data = country_data,
replace = list(pop = -500))