ols_plot_resid_hist

Histogram of residuals for detecting violation of normality assumption.

Tools designed to make it easier for users, particularly beginner/intermediate R users
to build ordinary least squares regression models. Includes comprehensive regression output,
heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence,
model fit assessment and variable selection procedures.

Aravind Hebbali

olsrr

Tools for Building OLS Regression Models

ols_plot_resid_hist function

<dl><dt>model</dt>
<dd>An object of class <code>lm</code>.</dd>
<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd></dl>

Arguments

Residual histogram — ols_plot_resid_hist

<dl>

<dt>model</dt>
<dd>An object of class <code>lm</code>.</dd>


<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd>

</dl>

State of Data and AI Literacy Report 2025

ols_plot_resid_hist: Residual histogram

Description

Usage

Arguments

See Also

Examples