# Streamlining Complex Survey Estimation and Reliability Assessment in R

## Documentation for package ‘surveytable’ version 0.10.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

as.data.frame.astra_table | Coerce an astra table to a data frame
codebook | Create a codebook for the survey
namcs2019sv | Selected variables from the National Ambulatory Medical Care Survey (NAMCS) 2019 Public Use File (PUF)
namcs2019sv_df | Selected variables from the National Ambulatory Medical Care Survey (NAMCS) 2019 Public Use File (PUF)
nhis2024a | National Health Interview Survey (NHIS) 2024 Public Use File (PUF)
print.astra_list | Print astra tables
print.astra_table | Print astra tables
rccsu2018 | National Study of Long-Term Care Providers (NSLTCP) Residential Care Community (RCC) Services User (SU) 2018 Public Use File (PUF)
restructure | Restructure tables to make them easier to process programmatically
set_opts | Set certain options
set_survey | Specify the survey to analyze
show_options | Show package options
show_opts | Set certain 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
tab | Tabulate variables
tab_cross | Tabulate subsets or interactions
tab_rate | Calculate rates
tab_subset | Tabulate subsets or interactions
tab_subset_rate | Calculate rates for subsets
total | Total count
total_rate | Overall rate
uspop_example | US Population for use in examples
var_all | Are all the variables true? (Logical AND)
var_any | Is any variable true? (Logical OR)
var_case | Convert factor to logical
var_collapse | Collapse factor levels
var_copy | Copy a variable
var_cross | Cross or interact two variables
var_cut | Convert numeric to factor
var_list | List variables in a survey.
var_not | Logical NOT