R: Streamlining Complex Survey Estimation and Reliability Assessment in R

# Streamlining Complex Survey Estimation and Reliability Assessment in R

## Documentation for package ‘surveytable’ version 0.9.10

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

## Help Pages

as.data.frame.surveytable_table | Coerce a surveytable 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)
print.surveytable_list | Print surveytable tables
print.surveytable_table | Print surveytable tables
rccsu2018 | National Study of Long-Term Care Providers (NSLTCP) Residential Care Community (RCC) Services User (SU) 2018 Public Use File (PUF)
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
uspop2019 | US Population in 2019
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