Streamlining Complex Survey Estimation and Reliability Assessment in R
Coerce a surveytable table to a data frame
Create a codebook for the survey
Print surveytable tables
Set certain options
Specify the survey to analyze
Show package options
Subset a survey, while preserving variable labels
Package options
surveytable: Streamlining Complex Survey Estimation and Reliability As...
Korn and Graubard confidence intervals for proportions, adjusted for d...
Calculate rates
Calculate rates for subsets
Tabulate subsets or interactions
Tabulate variables
Overall rate
Total count
Are all the variables true? (Logical AND)
Is any variable true? (Logical OR)
Convert factor to logical
Collapse factor levels
Copy a variable
Cross or interact two variables
Convert numeric to factor
List variables in a survey.
Logical NOT
Short and understandable commands that generate tabulated, formatted, and rounded survey estimates. Mostly a wrapper for the 'survey' package (Lumley (2004) <doi:10.18637/jss.v009.i08> <https://CRAN.R-project.org/package=survey>) that identifies low-precision estimates using the National Center for Health Statistics (NCHS) presentation standards (Parker et al. (2017) <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al. (2023) <doi:10.15620/cdc:124368>).