Function reference • srvyr

Set up survey data Functions for specifying a survey’s structure
`as_survey()`	Create a tbl_svy from a data.frame
`as_survey_design()`	Create a tbl_svy survey object using sampling design
`as_survey_rep()`	Create a tbl_svy survey object using replicate weights
`as_survey_twophase()`	Create a tbl_svy survey object using two phase design
Calculate summary statistics of survey data Functions for calculating summary measures taking into account complex survey design
`cascade()`	Summarise multiple values into cascading groups
`group_by`	Group a (survey) dataset by one or more variables.
`interact()`	Create interaction terms to group by when summarizing
`summarise`	Summarise multiple values to a single value.
`summarise_all`	Manipulate multiple columns.
`survey_mean()` `survey_prop()`	Calculate mean/proportion and its variation using survey methods
`survey_total()`	Calculate the total and its variation using survey methods
`survey_quantile()` `survey_median()`	Calculate the quantile and its variation using survey methods
`survey_ratio()`	Calculate the ratio and its variation using survey methods
`survey_tally()` `survey_count()`	Count/tally survey weighted observations by group
`survey_var()` `survey_sd()`	Calculate the population variance and its variation using survey methods
`unweighted()`	Calculate the an unweighted summary statistic from a survey
`svychisq`	Chisquared tests of association for survey data.
`cur_svy_wts()`	Get the full-sample weights for the current context
`survey_old_quantile()` `survey_old_median()`	Calculate the quantile and its variation using survey methods
Other supported dplyr functions Other functions from dplyr that work on srvyr’s survey objects
`as_tibble`	Coerce survey variables to a data frame (tibble)
`group_trim`	Single table verbs from dplyr and tidyr
`groups`	Get/set the grouping variables for tbl.
`tbl_vars`	List variables produced by a tbl.
`group_map_dfr()` `group_map(<tbl_svy>)` `group_map_dfr()`	Apply a function to each group
`dplyr_filter_joins`	Filtering joins from dplyr
`collect`	Force computation of a database query
(Primarily for package authors) Extend srvyr Functions useful for package authors to extend srvyr
`cur_svy()` `cur_svy_full()` `current_svy()`	Get the survey data for the current context
`get_var_est()`	Get the variance estimates for a survey estimate
`set_survey_vars()`	Set the variables for the current survey variable
`uninteract()` `is.interaction()`	Break interaction vectors back into component columns
`srvyr_interaction`	srvyr interaction column

Reference

Set up survey data

Calculate summary statistics of survey data

Other supported dplyr functions

(Primarily for package authors) Extend srvyr