model_skeleton

A "skeleton" is a data frame containing "nicely spaced" values for the explanatory variables
in a model.

"Lessons in Statistical Thinking" D.T. Kaplan (2014)
<https://dtkaplan.github.io/Lessons-in-statistical-thinking/>
is a textbook for a first or second course in statistics that embraces
data wrangling, causal reasoning, modeling, statistical adjustment,
and simulation. 'LSTbook' supports the student-centered, tidy,
pipeline-oriented computing style featured in the book.

Daniel Kaplan

LSTbook

Data and Software for "Lessons in Statistical Thinking"

Randall Pruim

model_skeleton function

<dl><dt>mod</dt>
<dd>A fitted model or a tilde expression describing a model structure, e.g. <code>outcome ~ vara+varb</code>.</dd>
<dt>data</dt>
<dd>a data frame. Relevant only when <code>mod</code> is a tilde expression</dd>
<dt>ncont</dt>
<dd>minimum number of levels at which to represent continuous variables. (More levels
may be added to "prettify" the choices. See <code><a href="/link/pretty()?package=LSTbook&version=0.6" data-mini-rdoc="LSTbook::pretty()">pretty()</a></code>.)</dd>
<dt>nfirstcont</dt>
<dd>Like <code>ncont</code>, but for the first explanatory variable if it is categorical. This variable is mapped
to the horizontal axis and so should have many levels to produce a smooth graph. (Default: 50)</dd></dl>

Arguments

Convert a model to a skeleton — model_skeleton

<dl>

<dt>mod</dt>
<dd>A fitted model or a tilde expression describing a model structure, e.g. <code>outcome ~ vara+varb</code>.</dd>


<dt>data</dt>
<dd>a data frame. Relevant only when <code>mod</code> is a tilde expression</dd>


<dt>ncont</dt>
<dd>minimum number of levels at which to represent continuous variables. (More levels
may be added to "prettify" the choices. See <code><a href='https://rdrr.io/r/base/pretty.html'>pretty()</a></code>.)</dd>


<dt>nfirstcont</dt>
<dd>Like <code>ncont</code>, but for the first explanatory variable if it is categorical. This variable is mapped
to the horizontal axis and so should have many levels to produce a smooth graph. (Default: 50)</dd>

</dl>

model_skeleton: Convert a model to a skeleton

Description

Usage

Value

Arguments

Examples