stargazer: Produce Publication-Quality Regression Tables

In stargazer2: Beautiful Regression Tables for Modern Econometrics Packages

Produce Publication-Quality Regression Tables

Description

Produces publication-quality regression tables, following the interface of the stargazer package, with native support for modern econometrics packages including fixest and alpaca. Outputs LaTeX, plain-text (ASCII), and HTML tables.

Usage

stargazer(
  ...,
  type = "latex",
  title = "",
  label = "",
  dep.var.labels = NULL,
  dep.var.caption = NULL,
  column.labels = NULL,
  column.separate = NULL,
  covariate.labels = NULL,
  coef.rename = NULL,
  omit = NULL,
  keep = NULL,
  omit.stat = NULL,
  digits = 3L,
  star.cutoffs = c(0.1, 0.05, 0.01),
  star.char = c("*", "**", "***"),
  notes = NULL,
  notes.append = TRUE,
  notes.align = NULL,
  notes.label = NULL,
  font.size = NULL,
  no.space = FALSE,
  style = "stargazer2",
  obs.label = NULL,
  summary.stat = NULL,
  median = FALSE,
  vcov = NULL,
  se = NULL,
  se_label = NULL,
  out = NULL
)

Arguments

...	One or more fitted model objects. Supported classes: lm, glm, plm, fixest (feols, fepois, fenegbin, feglm), alpaca::feglm, and summary.feglm.
type	Character; output format. One of "latex" (default), "text", or "html".
title	Character; table caption.
label	Character; LaTeX cross-reference label (used with type = "latex" only).
dep.var.labels	Character vector; custom labels for the dependent variable(s). Applied in column order.
dep.var.caption	Character; caption text above the dep-var row. Default: "\textit\{Dependent variable:\}" for LaTeX.
column.labels	Character vector; custom column header labels. Overrides the auto-detected model-type labels.
column.separate	Integer vector; controls how many consecutive columns share each column.labels entry. Unused in the current version.
covariate.labels	Character vector; display names for covariates, applied positionally after omit/keep filtering.
coef.rename	Named character vector mapping raw coefficient names to new display names before the column union is computed. Names are the existing coefficient names; values are the replacement names. Useful for aligning TWFE event-study year indicators with relative-time labels from other estimators, e.g. c("year::2004" = "t = -2", "year::2005" = "t = -1").
omit	Character vector; regex patterns — covariates whose names match any pattern are excluded from the table.
keep	Character vector; regex patterns — only covariates whose names match are included (applied after omit).
omit.stat	Character vector; stat identifiers to suppress. Recognised values: "n", "r2", "adj.r2", "sigma", "f", "pr2", "ll".
digits	Integer; number of decimal places for coefficients, SEs, and most fit statistics. Default: 3.
star.cutoffs	Numeric vector of length 3; p-value thresholds for one, two, and three stars. Default: c(0.1, 0.05, 0.01).
star.char	Character vector of length 3; star symbols. Default: c("*", "**", "***").
notes	Character vector; additional table notes appended after the SE-type note.
notes.append	Logical; if FALSE, the default SE-type and significance notes are replaced by notes. Default: TRUE.
notes.align	Character; cell alignment for the note row in LaTeX ("l", "c", or "r"). NULL (default) defers to the style preset: "l" for "stargazer2" and "aer", "r" for "stargazer" and "qje".
notes.label	Character; text preceding the note. Default: "\textit\{Note:\} ".
font.size	Character; LaTeX font-size command (e.g. "small", "footnotesize"). NULL (default) means no size command is inserted.
no.space	Logical; suppress blank spacer rows in the table body. Only affects style = "stargazer". Default: FALSE.
style	Character; table formatting style. Controls overall layout, rule style, notes format, and significance-note wording. "stargazer2" (Default) Clean layout: single \hline throughout, no \cline, full-width left-aligned notes cell ending in a period, p-value significance legend. "stargazer" Replicates the original stargazer output byte-for-byte: double top rule with \\{[}-1.8ex{]}, \cline, blank spacer rows (controlled by no.space), right-aligned notes. "aer" American Economic Review style: clean layout, no “Dependent variable:” caption, single bottom rule, left-aligned notes with text significance descriptions. "qje" Quarterly Journal of Economics style: like "aer" but double bottom rule, right-aligned notes, and \textit{N} for the observations label.
obs.label	Character; overrides the label for the Observations row. Defaults to the style preset ("Observations" for most styles, "\textit\{N\}" for "qje").
summary.stat	Character vector; which summary statistics to include when stargazer is called with a data.frame. Recognised values: "n", "mean", "sd", "min", "max", "median", "p25", "p75". Default: c("n","mean","sd","min","max").
median	Logical; if TRUE, add a Median column to summary tables. Equivalent to including "median" in summary.stat. Default: FALSE.
vcov	List of variance-covariance matrices (one per model, or NULL for a given model to fall back to auto-extraction). Takes priority over se. The square root of the diagonal is extracted internally.
se	List of numeric vectors of standard errors (one per model, or NULL to fall back to auto-extraction). Used only when vcov is not supplied for a given model.
se_label	Character vector (one per model, or a single string applied to all) overriding the auto-detected SE-type description used in the table note. Useful when supplying a vcov matrix whose type cannot be detected automatically. Examples: "Heteroskedasticity-robust standard errors (HC1)", "Standard errors clustered by firm".
out	Character; file path. If provided, output is written to the file (appending the appropriate extension if absent). The table string is also returned invisibly.

Value

The rendered table as a single character string, returned invisibly. Also printed to the console unless out is specified.

Examples

m1 <- lm(mpg ~ cyl + hp, mtcars)
m2 <- lm(mpg ~ cyl + hp + wt, mtcars)
stargazer(m1, m2, type = "text")
stargazer(m1, m2, type = "latex")

stargazer2 documentation built on July 17, 2026, 5:08 p.m.