ols_plot_resid_lev

Graph for detecting outliers and/or observations with high leverage.

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_lev function

<dl><dt>model</dt>
<dd>An object of class <code>lm</code>.</dd>
<dt>threshold</dt>
<dd>Threshold for detecting outliers. Default is 2.</dd>
<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd></dl>

Arguments

Studentized residuals vs leverage plot — ols_plot_resid_lev

<dl>

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


<dt>threshold</dt>
<dd>Threshold for detecting outliers. Default is 2.</dd>


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

</dl>

ols_plot_resid_lev: Studentized residuals vs leverage plot

Description

Usage

Arguments

See Also

Examples