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Easytable

An R package for creating docx friendly regression tables

Install / Use

/learn @alfredo-hs/Easytable
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

easytable <img src="man/figures/logo.png" align="right" width="190"/>

Create regression tables that are easy to use and easy to read.

easytable is a workhorse table package for lm and glm models with predictable defaults across Word/HTML and LaTeX/PDF outputs.

License: MIT pkgdown DOI easytable status badge R-CMD-check

Why easytable

  • One main function: easytable()
  • Code that is easy to use and tables that are easy to read
  • Coherent output style across formats
  • Optional export to .docx and .csv
  • Control-variable indicators (like Stata)

Install

To install easytable please run the command below:

install.packages("easytable", repos = c("https://alfredo-hs.r-universe.dev/easytable","https://cloud.r-project.org"))

Quick Start (Penguins)

library(easytable)
library(palmerpenguins)

m1 <- lm(body_mass_g ~ flipper_length_mm, data = penguins)
m2 <- lm(body_mass_g ~ flipper_length_mm + species, data = penguins)
m3 <- lm(body_mass_g ~ flipper_length_mm + species + island, data = penguins)

# Default output is Word/flextable (also prints in HTML contexts)
easytable(m1, m2, m3)

Core Usage Patterns

1) Basic table

easytable(m1, m2, m3)

2) Custom model names

easytable(
  m1, m2, m3,
  model.names = c("Baseline", "With Species", "Full Model")
)

3) Control indicators

easytable(
  m1, m2, m3,
  control.var = c("species", "island")
)

4) Highlight significant coefficients

easytable(
  m1, m2, m3,
  highlight = TRUE
)

5) LaTeX output

easytable(
  m1, m2, m3,
  output = "latex"
)

6) Export files

easytable(
  m1, m2, m3,
  export.word = "mytable.docx",
  export.csv = "mytable.csv"
)

Advanced Options

Robust standard errors

easytable(m1, m2, robust.se = TRUE)

Marginal effects

easytable(m1, m2, margins = TRUE)

Robust SE + marginal effects

easytable(m1, m2, robust.se = TRUE, margins = TRUE)

Supported Model Classes

Current stable scope:

  • lm
  • glm

Planned later:

  • plm and other model classes

Design Invariants

easytable enforces these defaults:

  1. Coefficient and SE share one cell with a real line break.
  2. Zebra striping applies only to coefficient rows.
  3. No per-coefficient horizontal rules.
  4. Exactly one divider between coefficient rows and model-stat rows.
  5. Control indicators belong to the model-stat block.

See DESIGN_PHILOSOPHY.md for the full contributor policy.

Documentation

  • Package site: https://alfredo-hs.github.io/easytable/
  • Function help: ?easytable
  • Tutorial article: vignette("penguins-tutorial", package = "easytable")
  • Developer roadmap: vignette("developer-roadmap", package = "easytable")
  • Agent handoff notes: AI_NOTES.md
  • Testing protocol: tests/README.md

Website Deployment

  • pkgdown source is defined in _pkgdown.yml, pkgdown/index.md, and vignettes/.
  • Automated build/deploy runs through .github/workflows/pkgdown.yaml.
  • Recommended GitHub Pages source is the gh-pages branch root.

Citation

Hernandez Sanchez, A. (2026). easytable: Create Multi-Format Regression Tables.
R package version 2.1.0. https://doi.org/10.5281/zenodo.18673550

Acknowledgements

The development of this package was assisted by AI coding tools such as Claude 4.5 Sonnet and ChatGPT 5.3 Codex for code debugging, documentation updates, and package restructuring.

Related Skills

View on GitHub
GitHub Stars5
CategoryDevelopment
Updated14d ago
Forks0

Languages

R

Security Score

70/100

Audited on Mar 14, 2026

No findings