Automated summary
Reference skill for building publication-quality tables in R with gt, kableExtra, and modelsummary, from number formatting through export.
Strengths
- Clear split across three complementary libraries: gt for grammar-of-tables, kableExtra for knitr/Quarto, modelsummary for regression output
- Organized into focused reference files (quickstart, formatting, modelsummary-tables, export) with guidance on when to read each one
- Flags the modelsummary 2.x gotcha where tinytable is the default backend and output = "gt" must be requested explicitly
- Pinned library versions (gt 1.3.0, kableExtra 1.4.0, modelsummary 2.6.0, knitr 1.51) and a pointer to the Python great-tables counterpart
Limitations
- R only: no Python examples, and the great-tables skill is only referenced, not included
- modelsummary coverage stays shallow and defers robust or clustered standard errors to the r-stats skill
- Does not cover charting (ggplot2) or document structure (Quarto), which are explicitly delegated to other skills
Use it when an R script or document needs a formatted table: descriptive statistics, summary tables, or a publication-ready regression table.
Skip it if the execution language is Python, or if the task is about a chart rather than a table.
Security analysis
SafeThe skill is purely informational/documentation for R table formatting libraries. It declares no tools and contains no executable commands, network access, destructive operations, or data exfiltration instructions.
No concerns found
How this analysis is madeExamples
Using R and gt, build a table of descriptive statistics (n, mean, sd) by treatment group, format the numbers with fmt_number to 2 decimals, add a column spanner over the statistics columns, and a source note.I have three lm models in R. Use modelsummary with output = "gt" to put them side by side with custom coefficient labels, clustered standard errors via the vcov argument, and goodness-of-fit rows at the bottom.Render this gt table in my Quarto .qmd and save it with gtsave() to both PNG and LaTeX so I can include it in my paper.name: gt description: >- R table formatting with gt, kableExtra, modelsummary. Publication-quality tables: gt() grammar-of-tables, fmt_() formatting, tab_() structure, gtsave() export. Use when execution language is R. Python equivalent: great-tables (use when execution language is Python). autoload: never metadata: audience: research-coders domain: r-library library-version: "gt 1.3.0" skill-last-updated: "2026-05-13" tags: ["r", "tables", "gt", "kableExtra", "modelsummary", "formatting"]
gt Skill
R table formatting ecosystem for publication-quality tables. Covers gt 1.3.0 for
grammar-of-tables construction (gt(), fmt_() number formatting, tab_() structure,
cols_*() column operations, gtsave() export), kableExtra 1.4.0 for knitr/kable
HTML and LaTeX table styling in Quarto documents, and modelsummary 2.6.0 for
formatting regression output from lm/glm/fixest/plm models into publication tables.
Use when execution language is R and the task involves creating formatted data
tables, summary tables, or regression tables for reports or papers. Python
counterpart: the great-tables skill (same author, same grammar of tables) —
use it when execution language is Python. For visualization (charts/plots), use
ggplot2 instead. For document structure and rendering, use quarto instead.
What is gt?
gt implements a grammar of tables for R, analogous to ggplot2's grammar of graphics but for tabular output:
- Declarative: Build tables by layering formatting, structure, and style
- Pipeline-friendly: Chain operations with
|>(data frame in, gt table out) - Rich formatting: Number formatting (fmt_number, fmt_percent, fmt_currency), conditional styling, color scales, icons, images in cells
- Structured: Table header, column spanners, row groups, summary rows, footnotes, source notes
- Export: HTML, PNG, LaTeX, Word, RTF via gtsave()
kableExtra extends knitr's kable() for HTML and LaTeX table styling:
- Lightweight alternative when gt is overkill (simple summary tables in Quarto)
- Row/column styling, striped rows, scroll boxes, grouped rows
- Tight integration with Quarto's knitr engine
modelsummary formats regression output into publication-ready tables:
- Supports 100+ model classes (lm, glm, fixest, plm, survey, etc.)
- Side-by-side model comparison with custom coefficient labels
- Output to gt, kableExtra, HTML, LaTeX, Word, markdown, PNG
- Robust/clustered SEs via
vcovargument (no re-fitting needed) - Already covered in depth by the r-stats skill (
reporting.md) and referenced by fixest -- this skill provides the table-formatting perspective
Version Notes
- gt 1.3.0: Stable release. Full grammar-of-tables API.
fmt_*()family for number formatting,tab_*()for structural elements,cols_*()for column operations,opt_*()for table options. - kableExtra 1.4.0: Stable release.
kbl()replacesknitr::kable()as the recommended entry point. Full HTML and LaTeX styling support. - modelsummary 2.6.0: Supports gt and kableExtra as output backends. The
default output backend in modelsummary 2.x is tinytable — request a gt
object explicitly with
output = "gt". See r-stats skillreporting.mdfor comprehensive modelsummary coverage. - knitr 1.51: Provides the underlying
kable()function that kableExtra extends.
How to Use This Skill
Reference File Structure
| File | Purpose | When to Read |
|------|---------|--------------|
| quickstart.md | Basic gt() table, headers/footers/source notes, simple formatting | Starting out or need a quick table |
| formatting.md | fmt_*() family, conditional styling, spanners, row groups, summary rows | Detailed formatting and structure |
| modelsummary-tables.md | Regression tables via modelsummary(), customization, multi-model comparison | Formatting regression output |
| export.md | gtsave(), kableExtra in Quarto, inline tables in .qmd, output formats | Saving or embedding tables |
Reading Order
- Quick data table? Start with
quickstart.md - Complex formatting? Read
formatting.md - Regression table? Read
modelsummary-tables.md - Saving or embedding? Read
export.md - Simple Quarto table? Read
export.md(kableExtra section)
Related Skills
| Skill | Relationship |
|-------|-------------|
| ggplot2 | Visualization (charts/plots) -- use ggplot2 for figures, gt for tables |
| quarto | Document rendering -- gt/kableExtra tables render in .qmd documents |
| fixest | Regression output -- fixest models feed into modelsummary/gt tables. fixest's own etable() is an alternative to modelsummary for fixest-only output |
| r-stats | Regression output -- lm/glm models feed into modelsummary/gt tables. r-stats reporting.md has comprehensive modelsummary coverage |
| plm | Panel model output -- plm models feed into modelsummary/gt tables |
| data-scientist | Methodology guidance for what to present in tables |
Python counterpart: Use the great-tables skill for Python table
formatting. The great-tables package (version 0.21.0, by the same author as
gt, implementing the same grammar of tables) is DAAF's Python table-formatting
tool — load that skill when execution language is Python. Note surface
differences from gt: method chaining instead of |>, 0-based cols_merge
pattern indices, Polars expressions in grand_summary_rows, and HTML/LaTeX
export in-process (but no working PNG export in the container). For regression
tables in Python, great-tables has no modelsummary equivalent — use pyfixest's
etable() or statsmodels' summary().
Quick Decision Trees
"I need to make a table"
What kind of table?
+-- Data summary table (descriptive stats, crosstabs)
| +-- Simple (few rows/columns, minimal formatting)
| | +-- In a Quarto doc? --> kableExtra kbl() in ./references/export.md
| | +-- Standalone? --> gt() in ./references/quickstart.md
| +-- Complex (conditional formatting, row groups, summary rows)
| +-- gt() in ./references/formatting.md
+-- Regression table (model coefficients)
| +-- Single model --> ./references/modelsummary-tables.md
| +-- Multiple models side-by-side --> ./references/modelsummary-tables.md
| +-- fixest models only --> Consider fixest etable() (see fixest skill)
| OR modelsummary() for more customization
+-- Frequency / cross-tabulation table
| +-- gt() with row groups --> ./references/formatting.md
+-- Table with color scales or conditional formatting
+-- gt tab_style() or data_color() --> ./references/formatting.md
"Which package should I use?"
Choosing a table package?
+-- Publication-quality data table with rich formatting
| +-- gt() (most flexible, best output quality)
+-- Regression table (multiple models, SEs, goodness-of-fit)
| +-- modelsummary() (purpose-built for this)
+-- Simple table in a Quarto document
| +-- kableExtra kbl() (lightweight, integrates with knitr)
+-- Quick console output (not for publication)
| +-- print() or knitr::kable() (no extra packages needed)
+-- LaTeX table for a journal submission
+-- gt() with gtsave("file.tex") OR modelsummary(output = "latex")
File-First Execution in Research Workflows
In DAAF research pipelines, tables are generated through script files in
scripts/stage8_analysis/, not interactively. This ensures auditability and
reproducibility.
The pattern:
- Write table code to
scripts/stage8_analysis/{step}_{table-name}.R - Execute via
bash {BASE_DIR}/scripts/run_with_capture.sh {script_path} - Output gets appended to the script as comments
- Use
gtsave()to save tables to the project output directory
See agent_reference/SCRIPT_EXECUTION_REFERENCE.md for the mandatory file-first
execution protocol.
Quick Reference
Essential Setup
library(gt)
library(kableExtra)
library(modelsummary)
Basic gt Table
tbl <- df |>
gt() |>
tab_header(
title = "Table Title",
subtitle = "Subtitle or description"
) |>
tab_source_note("Source: Dataset name, year.") |>
fmt_number(columns = where(is.numeric), decimals = 2)
Core gt Operations
| Operation | Code |
|-----------|------|
| Create table | gt(df) or df |> gt() |
| Title/subtitle | tab_header(title, subtitle) |
| Source note | tab_source_note("Source: ...") |
| Footnote | tab_footnote(footnote, locations) |
| Format numbers | fmt_number(columns, decimals) |
| Format percent | fmt_percent(columns, decimals) |
| Format currency | fmt_currency(columns, currency) |
| Format date | fmt_date(columns, date_style) |
| Column spanner | tab_spanner(label, columns) |
| Row group | gt(groupname_col = "group_var") |
| Summary row | summary_rows(groups, fns, columns) |
| Conditional style | tab_style(style, locations) |
| Column labels | cols_label(col1 = "Label 1") |
| Hide columns | cols_hide(columns) |
| Column width | cols_width(col1 ~ px(150)) |
| Save | gtsave(tbl, "file.html") |
kableExtra Quick Pattern
df |>
kbl(format = "html", digits = 2, caption = "Table Title") |>
kable_styling(bootstrap_options = c("striped", "hover", "condensed")) |>
add_header_above(c(" " = 1, "Group A" = 2, "Group B" = 2))
modelsummary Quick Pattern
modelsummary(
list("Model 1" = fit1, "Model 2" = fit2),
stars = c("*" = 0.05, "**" = 0.01, "***" = 0.001),
coef_rename = c("x1" = "Education", "x2" = "Experience"),
gof_map = c("nobs", "r.squared", "adj.r.squared"),
output = "gt"
)
Topic Index
| Topic | Reference File |
|-------|---------------|
| Basic gt table creation | ./references/quickstart.md |
| tab_header, tab_source_note | ./references/quickstart.md |
| tab_footnote | ./references/quickstart.md |
| Simple number formatting | ./references/quickstart.md |
| cols_label column renaming | ./references/quickstart.md |
| fmt_number, fmt_percent, fmt_currency | ./references/formatting.md |
| fmt_date, fmt_integer | ./references/formatting.md |
| Conditional formatting (tab_style) | ./references/formatting.md |
| Color scales (data_color) | ./references/formatting.md |
| Column spanners (tab_spanner) | ./references/formatting.md |
| Row groups | ./references/formatting.md |
| Summary rows | ./references/formatting.md |
| Grand summary | ./references/formatting.md |
| Column width and alignment | ./references/formatting.md |
| Merge cells | ./references/formatting.md |
| modelsummary basic usage | ./references/modelsummary-tables.md |
| Multi-model comparison | ./references/modelsummary-tables.md |
| Coefficient renaming and omission | ./references/modelsummary-tables.md |
| Custom statistics rows | ./references/modelsummary-tables.md |
| Robust/clustered SEs in tables | ./references/modelsummary-tables.md |
| fixest models in modelsummary | ./references/modelsummary-tables.md |
| Stars and significance formatting | ./references/modelsummary-tables.md |
| gtsave to HTML/PNG/LaTeX | ./references/export.md |
| kableExtra in Quarto | ./references/export.md |
| Inline tables in .qmd | ./references/export.md |
| Output format comparison | ./references/export.md |
Citation
When gt is used as a primary table-formatting tool, include in the report's Software & Tools references:
Iannone, R., Cheng, J., Schloerke, B., Hughes, E., Lauer, A., & Seo, J. (2024). gt: Easily Create Presentation-Ready Display Tables. R package version 1.3.0. https://gt.rstudio.com/
Cite when: gt produces tables included in the report or deliverables. Do not cite when: Only used for quick exploratory tables not included in deliverables.
For modelsummary citation (when used for regression tables):
Arel-Bundock, V. (2022). "modelsummary: Data and Model Summaries in R." Journal of Statistical Software, 103(1), 1-23.
For kableExtra citation (when used for Quarto table styling):
Zhu, H. (2024). kableExtra: Construct Complex Table with kable and Pipe Syntax. R package version 1.4.0.
From the file to a first result
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Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Original excerpt: Quick Reference
Essential Setup
library(gt)
library(kableExtra)
library(modelsummary)
Basic gt Table
tbl <- df |>
gt() |>
tab_header(
title = "Table Title",
subtitle = "Subtitle or description"
) |>
tab_source_note("Source: Dataset name, year.") |>
fmt_number(columns = where(is.numeric), decimals = 2)
Core gt Operations
| Operation | Code |
|---|---|
| Create table | gt(df) or `df |
| Title/subtitle | tab_header(title, subtitle) |
| Source note | tab_source_note("Source: ...") |
| Footnote | tab_footnote(footnote, locations) |
| Format numbers | fmt_number(columns, decimals) |
| Format percent | fmt_percent(columns, decimals) |
| Format currency | fmt_currency(columns, currency) |
| Format date | fmt_date(columns, date_style) |
| Column spanner | tab_spanner(label, columns) |
| Row group | gt(groupname_col = "group_var") |
| Summary row | summary_rows(groups, fns, columns) |
| Conditional style | tab_style(style, locations) |
| Column labels | cols_label(col1 = "Label 1") |
| Hide columns | cols_hide(columns) |
| Column width | cols_width(col1 ~ px(150)) |
| Save | gtsave(tbl, "file.html") |
kableExtra Quick Pattern
df |>
kbl(format = "html", digits = 2, caption = "Table Title") |>
kable_styling(bootstrap_options = c("striped", "hover", "condensed")) |>
add_header_above(c(" " = 1, "Group A" = 2, "Group B" = 2))
modelsummary Quick Pattern
modelsummary(
list("Model 1" = fit1, "Model 2" = fit2),
stars = c("*" = 0.05, "**" = 0.01, "***" = 0.001),
coef_rename = c("x1" = "Education", "x2" = "Experience"),
gof_map = c("nobs", "r.squared", "adj.r.squared"),
output = "gt"
)
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Claude Code
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