all_plot_aic

<code>all_plot_aic()</code> generates a scatter plot with all effect estimates against AIC.

Estimates and plots effect estimates from models with all possible
combinations of a list of variables. It can be used for assessing treatment
effects in clinical trials or risk factors in bio-medical and epidemiological
research. Like Stata command 'confall' (Wang Z (2007) <doi:10.1177/1536867X0700700203> ),
'allestimates' calculates and stores all effect estimates, and plots them against p values or
Akaike information criterion (AIC) values. It currently has functions for linear
regression: all_lm(), logistic and Poisson regression: all_glm(),
and Cox proportional hazards regression: all_cox().

Zhiqiang Wang

allestimates

Effect Estimates from All Models

all_plot_aic function

<dl><dt>data</dt>
<dd>Object from <code>all_cox</code>, <code>all_glm</code>, <code>all_speedglm</code>, or <code>all_glm</code>, including all effect estimate values.</dd>
<dt>xlab</dt>
<dd>Character string for x-axis name. Default is <code>"AIC"</code></dd>
<dt>ylab</dt>
<dd>Character string for y-axis name. Default depends on original model types.</dd>
<dt>title</dt>
<dd>Character for plot title. Default is <code>"NULL"</code>.</dd></dl>

Arguments

Draws scatter plot with all effect estimates against AIC — all_plot_aic

<dl>

<dt>data</dt>
<dd>Object from <code>all_cox</code>, <code>all_glm</code>, <code>all_speedglm</code>, or <code>all_glm</code>, including all effect estimate values.</dd>


<dt>xlab</dt>
<dd>Character string for x-axis name. Default is <code>"AIC"</code></dd>


<dt>ylab</dt>
<dd>Character string for y-axis name. Default depends on original model types.</dd>


<dt>title</dt>
<dd>Character for plot title. Default is <code>"NULL"</code>.</dd>

</dl>

all_plot_aic: Draws scatter plot with all effect estimates against AIC

Description

Usage

Value

Arguments

Examples