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.
Usage
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")
)
Arguments
- x
A tbl_svy object, as created by
as_survey
and related functions.- wt
(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, butcount()
will not. Override this behavior by specifyingwt = NULL
.- sort
Whether to sort the results (defaults to
FALSE
)- name
Name of count variable created (defaults to n). If the variable already exists, will add "n" to the end until it does not.
- vartype
What types variation estimates to calculate, passed to
survey_total
.- ...
Variables to group by, passed to
group_by()
.- .drop
When .drop = TRUE, empty groups are dropped, see
group_by
documentation for more details.
Examples
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.