Analogous to tally
and count, calculates the survey weighted
count of observations. survey_tally
will call survey_total
empty (resulting
in the count of each group) or on wt
if it is specified (resulting in the
survey weighted total of wt
). survey_count
is similar, but calls group_by
before calculating the count and then returns the data to the original groupings.
survey_tally(
x,
wt,
sort = FALSE,
name = "n",
vartype = c("se", "ci", "var", "cv")
)
survey_count(
x,
...,
wt = NULL,
sort = FALSE,
name = "n",
.drop = dplyr::group_by_drop_default(x),
vartype = c("se", "ci", "var", "cv")
)
A tbl_svy object, as created by as_survey
and related functions.
(Optional) A variable to weight on (in addition to the survey weights,
which are always used). If left unspecified, tally()
will use a variable
named "n" if one exists, but count()
will not. Override this behavior by
specifying wt = NULL
.
Whether to sort the results (defaults to FALSE
)
Name of count variable created (defaults to n). If the variable already exists, will add "n" to the end until it does not.
What types variation estimates to calculate, passed to
survey_total
.
Variables to group by, passed to group_by()
.
When .drop = TRUE, empty groups are dropped, see group_by
documentation for more details.
If n
already exists, tally
will use it as the weight, but count
will not.
library(survey)
data(api)
dstrata <- apistrat %>%
as_survey_design(strata = stype, weights = pw)
dstrata %>%
group_by(awards) %>%
survey_tally()
#> # A tibble: 2 × 3
#> awards n n_se
#> <fct> <dbl> <dbl>
#> 1 No 2236. 216.
#> 2 Yes 3958. 216.
dstrata %>%
survey_count(awards)
#> # A tibble: 2 × 3
#> awards n n_se
#> <fct> <dbl> <dbl>
#> 1 No 2236. 216.
#> 2 Yes 3958. 216.