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Survey table: formatted survey estimates

surveytable is an R package for conveniently tabulating estimates from complex surveys.

• If you deal with survey objects in R (created with survey::svydesign()), then this package is for you.

• Works with complex surveys (data systems that involve survey design variables, like weights and strata).

• Works with unweighted data as well.

• The surveytable package provides short and understandable commands that generate tabulated, formatted, and rounded survey estimates.

• With surveytable, you can

  • tabulate estimated counts and percentages, with their standard errors and confidence intervals,
  • estimate the total population,
  • tabulate survey subsets and variable interactions,
  • tabulate numeric variables,
  • perform hypothesis tests,
  • tabulate rates,
  • modify survey variables, and
  • save the output.

• Optionally, all of the tabulation functions can identify low-precision estimates using the National Center for Health Statistics (NCHS) algorithms (or other algorithms).

• If the surveytable code is called from an R Markdown notebook or a Quarto document, it automatically generates HTML or LaTeX tables, as appropriate.

• The package reduces the number of commands that users need to execute, which is especially helpful for users new to R or to programming.

Installation

Install from CRAN:

install.packages("surveytable")

or get the development version from GitHub:

install.packages(c("remotes", "git2r"))
remotes::install_github("CDCgov/surveytable", upgrade = "never")

Documentation

Find the documentation for surveytable here: https://cdcgov.github.io/surveytable/

Example

Here is a basic example, to get you started.

1. Load the package:

library(surveytable)

2. Specify the survey that you wish you analyze. surveytable comes with a survey called namcs2019sv, for use in examples.

set_survey(namcs2019sv)

3. Specify the variable to analyze. In NAMCS, AGER is the age category variable:

tab("AGER")

The table shows:

• Descriptive variable name
• Survey name
• For each level of the variable:
  • Number of observations
  • Estimated count with its SE and 95% CI
  • Estimated percentage with its SE and 95% CI
• Sample size
• Optionally, the table can show whether any low-precision estimates were found

Public Domain Standard Notice

This repository constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC § 105. This repository is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication. All contributions to this repository will be released under the CC0 dedication. By submitting a pull request you are agreeing to comply with this waiver of copyright interest.

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The repository utilizes code licensed under the terms of the Apache Software License and therefore is licensed under ASL v2 or later.

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.