| 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... |
| print.surveytable_table | Print surveytable tables |
| rccsu2018 | National Study of Long-Term Care Providers (NSLTCP)... |
| set_opts | Set certain options |
| set_survey | Specify the survey to analyze |
| show_options | Show package options |
| survey_subset | Subset a survey, while preserving variable labels |
| surveytable-options | Package options |
| surveytable-package | surveytable: Streamlining Complex Survey Estimation and... |
| svyciprop_adjusted | Korn and Graubard confidence intervals for proportions,... |
| tab | Tabulate variables |
| 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 |
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