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Print a Table from Linear Model Summary

Source: R/print.table.summary.lm.R
print.table.summary.lm.Rd

Prints a formatted table from a summary of a linear model, including coefficients, ANOVA, correlation matrices, or summary statistics. Significance stars and legends are added as appropriate.

Usage

# S3 method for class 'table.summary.lm'
print(
  x,
  digits = max(4, getOption("digits") - 2),
  quote = FALSE,
  na.print = "",
  zero.print = "0",
  right = TRUE,
  justify = "right",
  signif.stars = getOption("show.signif.stars"),
  eps = .Machine$double.eps,
  nsmall = 4,
  prnt.lgnd = c("coefficients"),
  dig.test = max(1, min(5, digits - 2)),
  ...
)

Arguments

x

A table object from a linear model summary (e.g., coefficients, ANOVA, statistics, correlation matrices).

digits

Number of significant digits to print. Defaults to max(4, getOption("digits") - 2).

quote

Logical; whether to print with quotes (default: FALSE).

na.print

String to use for NA values (default: ").

zero.print

String to use for 0 values (default: 0).

right

Logical, indicating whether or not strings should be right aligned (default: TRUE).

justify

Justification for columns ("right" or "left"; default: "right").

signif.stars

Logical; whether to show significance stars for p-values (default: getOption("show.signif.stars")).

eps

Smallest positive floating-point value for formatting near-zero p-values (default: .Machine$double.eps).

nsmall

Minimum number of digits to the right of the decimal point (default: 4).

prnt.lgnd

Character vector naming tables to print significance legends for (default: "coefficients").

dig.test

Digits for hypothesis test statistics (default: max(1, min(5, digits - 2))).

...

Additional arguments (not currently used).

Value

Invisibly returns the input table.

Details

This method handles tabular output from linear model summaries, including coefficients, ANOVA, statistics, and correlation/covariance matrices. It formats p-values, adds significance stars, and prints appropriate legends for hypothesis tests.

See also

print.summary.lm

Examples

mdl <- lm(Sepal.Length ~ Sepal.Width, data = iris)
sumry <- summary(mdl)
print(sumry$coefficients)
#>              Coefficient  Std.Error   t-stat  p-value      VIF
#> (Intercept)      6.52622    0.47890  13.6276   <2e-16 ***     
#> Sepal.Width     -0.22336    0.15508  -1.4403    0.152         
#>                                                                      
#> Signif.Levels:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1