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
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 PDF 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.
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")
Find the documentation for surveytable here: https://cdcgov.github.io/surveytable/
Here is a basic example, to get you started.
surveytable comes with a survey called namcs2019sv, for use in examples.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)
AGER is the age category variable: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
20.0
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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