easytable

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.

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

# install.packages("devtools")
devtools::install_github("alfredo-hs/easytable")

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://github.com/alfredo-hs/easytable

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.