Description Usage Arguments Value Examples
row_count()
mimics base R's rowSums()
, with sums
for a specific value indicated by count
. Hence, it is equivalent
to rowSums(x == count, na.rm = TRUE)
. However, this function
is designed to work nicely within a pipeworkflow and allows selecthelpers
for selecting variables and the return value is always a tibble
(with one variable).
col_count()
does the same for columns. The return value is
a data frame with one row (the column counts) and the same number
of columns as x
.
1 2 3 
x 
A vector or data frame. 
... 
Optional, unquoted names of variables that should be selected for
further processing. Required, if 
count 
The value for which the row or column sum should be computed. May
be a numeric value, a character string (for factors or character vectors),

var 
Name of new the variable with the row or column counts. 
append 
Logical, if 
For row_count()
, a tibble with one variable: the sum of count
appearing in each row of x
; for col_count()
, a tibble with
one row and the same number of variables as in x
: each variable
holds the sum of count
appearing in each variable of x
.
If append = TRUE
, x
including this variable will be returned.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  library(dplyr)
library(tibble)
dat < tribble(
~c1, ~c2, ~c3, ~c4,
1, 3, 1, 1,
2, 2, 1, 1,
3, 1, 2, 3,
1, 2, 1, 2,
3, NA, 3, 1,
NA, 3, NA, 2
)
row_count(dat, count = 1, append = FALSE)
row_count(dat, count = NA, append = FALSE)
row_count(dat, c1:c3, count = 2, append = TRUE)
col_count(dat, count = 1, append = FALSE)
col_count(dat, count = NA, append = FALSE)
col_count(dat, c1:c3, count = 2, append = TRUE)

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