tidy_model_expressions: Expressions with statistics for tidy regression data frames

In statsExpressions: Tidy Dataframes and Expressions with Statistical Details

Expressions with statistics for tidy regression data frames

Description

Expressions with statistics for tidy regression data frames

Usage

tidy_model_expressions(
  data,
  statistic = NULL,
  digits = 2L,
  effsize.type = "omega",
  ...
)

Arguments

data	A tidy data frame from regression model object (see statsExpressions::tidy_model_parameters()).
statistic	Which statistic is to be displayed (either "t" or "f"or "z" or "chi") in the expression.
digits	Number of digits for rounding or significant figures. May also be "signif" to return significant figures or "scientific" to return scientific notation. Control the number of digits by adding the value as suffix, e.g. digits = "scientific4" to have scientific notation with 4 decimal places, or digits = "signif5" for 5 significant figures (see also signif()).
effsize.type	Type of effect size needed for parametric tests. The argument can be "eta" (partial eta-squared) or "omega" (partial omega-squared).
...	Currently ignored.

Details

When any of the necessary numeric column values (estimate, statistic, p.value) are missing, for these rows, a NULL is returned instead of an expression with empty strings.

Note

This is an experimental function and may change in the future. Please do not use it yet in your workflow.

Examples

# setup
set.seed(123)
library(statsExpressions)

# extract a tidy data frame
df <- tidy_model_parameters(lm(wt ~ am * cyl, mtcars))

# create a column containing expression; the expression will depend on `statistic`
tidy_model_expressions(df, statistic = "t")
tidy_model_expressions(df, statistic = "z")
tidy_model_expressions(df, statistic = "chi")

statsExpressions documentation built on May 29, 2024, 4:28 a.m.