ols_plot_resid_qq

Graph 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_qq 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 QQ plot — ols_plot_resid_qq

<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>

ols_plot_resid_qq: Residual QQ plot

Description

Usage

Arguments

See Also

Examples