Package index • 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_by_: Group a (survey) dataset by one or more variables.

interact(): Create interaction terms to group by when summarizing

summarise summarize: Summarise multiple values to a single value.

summarise_all summarize_all summarise_if summarize_if summarise_at summarize_at mutate_all mutate_if mutate_at filter_all filter_at filter_if select_all select_at select_if rename_all rename_at rename_if group_by_all group_by_at group_by_if mutate_each summarise_each summarize_each funs vars all_vars any_vars: 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

survey_corr(): Calculate correlation 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 dplyr_single mutate transmute select pull rename rename_with filter drop_na: Single table verbs from dplyr and tidyr

groups ungroup group_vars group_data group_keys group_rows group_indices group_size n_groups: Get/set the grouping variables for tbl.

tbl_vars: List variables produced by a tbl.

group_map_dfr() group_map(<tbl_svy>): Apply a function to each group

dplyr_filter_joins semi_join anti_join: Filtering joins from dplyr

collect compute: 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

Other

Other things that don’t fit well in existing categories

as_survey_() as_survey_design_() as_survey_rep_() as_survey_twophase_() cascade_(): Deprecated SE versions of main srvyr verbs

srvyr-package srvyr: srvyr: A package for 'dplyr'-Like Syntax for Summary Statistics of Survey Data.

tbl_svy: tbl_svy object.