as_survey | R Documentation |
as_survey
can be used to create a tbl_svy
using design information
(as_survey_design
), replicate weights (as_survey_rep
),
or a two phase design (as_survey_twophase
), or an object created by the
survey package.
as_survey(.data, ...)
## S3 method for class 'tbl_svy'
as_survey(.data, ...)
## S3 method for class 'data.frame'
as_survey(.data, ...)
## S3 method for class 'tbl_lazy'
as_survey(.data, ...)
## S3 method for class 'survey.design2'
as_survey(.data, ...)
## S3 method for class 'svyrep.design'
as_survey(.data, ...)
## S3 method for class 'twophase2'
as_survey(.data, ...)
.data |
a data.frame or an object from the survey package |
... |
other arguments, see other functions for details |
See vignette("databases", package = "dplyr")
for more information on setting up databases in dplyr.
a tbl_svy
# Examples from ?survey::svydesign
library(survey)
library(dplyr)
data(api)
# stratified sample
dstrata <- apistrat %>%
as_survey(strata = stype, weights = pw)
# Examples from ?survey::svrepdesign
data(scd)
# use BRR replicate weights from Levy and Lemeshow
scd$rep1 <- 2 * c(1, 0, 1, 0, 1, 0)
scd$rep2 <- 2 * c(1, 0, 0, 1, 0, 1)
scd$rep3 <- 2 * c(0, 1, 1, 0, 0, 1)
scd$rep4 <- 2 * c(0, 1, 0, 1, 1, 0)
scdrep <- scd %>%
as_survey(type = "BRR", repweights = starts_with("rep"),
combined_weights = FALSE)
# Examples from ?survey::twophase
# two-phase simple random sampling.
data(pbc, package="survival")
pbc <- pbc %>%
mutate(randomized = !is.na(trt) & trt > 0,
id = row_number())
d2pbc <- pbc %>%
as_survey(id = list(id, id), subset = randomized)
# dplyr 0.7 introduced new style of NSE called quosures
# See `vignette("programming", package = "dplyr")` for details
st <- quo(stype)
wt <- quo(pw)
dstrata <- apistrat %>%
as_survey(strata = !!st, weights = !!wt)
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