Survey table: formatted survey estimates

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

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)
  1. Specify the survey that you wish you analyze. surveytable comes with a survey called namcs2019sv, for use in examples.
set_survey(namcs2019sv)
Survey info {NAMCS 2019 PUF}
Variables Observations Design
33 8,250 Stratified 1 - level Cluster Sampling design (with replacement)
With (398) clusters.
namcs2019sv = survey::svydesign(ids = ~CPSUM, strata = ~CSTRATM, weights = ~PATWT
, data = namcs2019sv_df)
  1. Specify the variable to analyze. In NAMCS, AGER is the age category variable:
tab("AGER")
Patient age recode {NAMCS 2019 PUF}
Level n Number SE LL UL Percent SE LL UL
Under 15 years 887 117,916,772 14,097,315 93,228,928 149,142,177 11.4 1.3 8.9 14.2
15-24 years 542 64,855,698 7,018,359 52,386,950 80,292,164 6.3 0.6 5.1 7.5
25-44 years 1,435 170,270,604 13,965,978 144,924,545 200,049,472 16.4 1.1 14.3 18.8
45-64 years 2,283 309,505,956 23,289,827 266,994,092 358,786,727 29.9 1.4 27.2 32.6
65-74 years 1,661 206,865,982 14,365,993 180,480,708 237,108,637 20   1.2 17.6 22.5
75 years and over 1,442 167,069,344 15,179,082 139,746,193 199,734,713 16.1 1.3 13.7 18.8
N = 8250.

The table shows:

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