Skip to content

Commit d070785

Browse files
committed
action
1 parent d70726c commit d070785

File tree

2 files changed

+7
-10
lines changed

2 files changed

+7
-10
lines changed

.github/workflows/R-CMD-check.yaml

Lines changed: 5 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -40,13 +40,11 @@ jobs:
4040
http-user-agent: ${{ matrix.config.http-user-agent }}
4141
use-public-rspm: true
4242

43-
- uses: r-lib/actions/setup-r-dependencies@v2
44-
with:
45-
extra-packages: |
46-
any::rcmdcheck
47-
any::knitr
48-
any::rmarkdown
49-
needs: check
43+
- name: Install all dependencies
44+
run: |
45+
install.packages("pak", repos = "https://r-lib.github.io/p/pak/dev/")
46+
pak::local_install_dev_deps()
47+
shell: Rscript {0}
5048

5149
- uses: r-lib/actions/check-r-package@v2
5250
with:

README.md

Lines changed: 2 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -1,9 +1,8 @@
11
# svyTable1: Create Publication-Ready Survey-Weighted Summary Tables
22

3-
**svyTable1** is a lightweight R package containing a single, focused function: `svytable1()`.
4-
Its purpose is to generate publication-ready *"Table 1"* descriptive statistics from complex survey data, integrating seamlessly with the widely-used **survey** package.
3+
**svyTable1** is a focused R package for analyzing and presenting complex survey data. It streamlines the creation of publication-ready "Table 1" descriptive statistics and provides a suite of essential tools for regression model diagnostics, including coefficient stability checks, goodness-of-fit tests, and design-correct AUC calculations.
54

6-
The package was developed to simplify a common task in epidemiology and public health research — presenting stratified summary statistics that correctly account for survey design features such as **weights, strata, and clusters**, while following best practices for transparency and readability.
5+
Developed for common tasks in epidemiology and public health, the package integrates seamlessly with the widely-used survey package to correctly account for design features such as weights, strata, and clusters, while following best practices for transparency and readability.
76

87
---
98

0 commit comments

Comments
 (0)