Deprecated
Summarize multiple columns simultaneously
summarize_across.(
.df,
.cols = everything(),
.fns = NULL,
...,
.by = NULL,
.names = NULL
)
summarise_across.(
.df,
.cols = everything(),
.fns = NULL,
...,
.by = NULL,
.names = NULL
)
A data.frame or data.table
vector c()
of unquoted column names. tidyselect
compatible.
Functions to pass. Can pass a list of functions.
Other arguments for the passed function
Columns to group by
A glue specification that helps with renaming output columns.
{.col}
stands for the selected column, and {.fn}
stands for the name of the function being applied.
The default (NULL
) is equivalent to "{.col}"
for a single function case and "{.col}_{.fn}"
when a list is used for .fns
.
if (FALSE) {
df <- data.table(
a = 1:3,
b = 4:6,
z = c("a", "a", "b")
)
# Pass a single function
df %>%
summarize_across.(c(a, b), mean, na.rm = TRUE)
# Single function using purrr style interface
df %>%
summarize_across.(c(a, b), ~ mean(.x, na.rm = TRUE))
# Passing a list of functions (with .by)
df %>%
summarize_across.(c(a, b), list(mean, max), .by = z)
# Passing a named list of functions (with .by)
df %>%
summarize_across.(c(a, b),
list(avg = mean,
max = ~ max(.x)),
.by = z)
# Use the `.names` argument for more naming control
df %>%
summarize_across.(c(a, b),
list(avg = mean,
max = ~ max(.x)),
.by = z,
.names = "{.col}_test_{.fn}")
}