Package index • surveytable

Begin

set_survey(): Specify the survey to analyze

var_list(): List variables in a survey.

set_opts() show_opts(): Set certain options

Counts, percentages, and means

tab(): Tabulate variables

total(): Total count

tab_cross() tab_subset(): Tabulate subsets or interactions

Rates

total_rate(): Overall rate

tab_rate(): Calculate rates

tab_subset_rate(): Calculate rates for subsets

Create or modify variables

var_case(): Convert factor to logical

var_collapse(): Collapse factor levels

var_cut(): Convert numeric to factor

var_any(): Is any variable true? (Logical OR)

var_all(): Are all the variables true? (Logical AND)

var_not(): Logical NOT

var_cross(): Cross or interact two variables

var_copy(): Copy a variable

Data for use in examples

namcs2019sv namcs2019sv_df: Selected variables from the National Ambulatory Medical Care Survey (NAMCS) 2019 Public Use File (PUF)

uspop2019: US Population in 2019

rccsu2018: National Study of Long-Term Care Providers (NSLTCP) Residential Care Community (RCC) Services User (SU) 2018 Public Use File (PUF)

Other

codebook(): Create a codebook for the survey

show_options(): Show package options

surveytable-options: Package options

survey_subset(): Subset a survey, while preserving variable labels

svyciprop_adjusted(): Korn and Graubard confidence intervals for proportions, adjusted for degrees of freedom

print(<surveytable_table>) print(<surveytable_list>): Print surveytable tables

as.data.frame(<surveytable_table>): Coerce a surveytable table to a data frame