plot_all

This function plots a grid of histograms (for continuous variables) and
bar plots (for categorical variables) and labels it with the proportion of
missing values in each variable.

Joint analysis and imputation of incomplete data in the Bayesian
framework, using (generalized) linear (mixed) models and extensions there of,
survival models, or joint models for longitudinal and survival data, as
described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>.
Incomplete covariates, if present, are automatically imputed.
The package performs some preprocessing of the data and creates a 'JAGS'
model, which will then automatically be passed to 'JAGS'
<https://mcmc-jags.sourceforge.io/> with the help of
the package 'rjags'.

Nicole Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

Nicole S. Erler

plot_all function

<dl><dt>data</dt>
<dd>a <code>data.frame</code> (or a <code>matrix</code>)</dd>
<dt>nrow</dt>
<dd>optional; number of rows in the plot layout;
automatically chosen if unspecified</dd>
<dt>ncol</dt>
<dd>optional; number of columns in the plot layout;
automatically chosen if unspecified</dd>
<dt>fill</dt>
<dd>colour the histograms and bars are filled with</dd>
<dt>border</dt>
<dd>colour of the borders of the histograms and bars</dd>
<dt>allNA</dt>
<dd>logical; if <code>FALSE</code> (default) the proportion of missing
values is only given for variables that have missing values,
if <code>TRUE</code> it is given for all variables</dd>
<dt>idvars</dt>
<dd>name of the column that specifies the multi-level grouping
structure</dd>
<dt>xlab, ylab</dt>
<dd>labels for the x- and y-axis</dd>
<dt>...</dt>
<dd>additional parameters passed to <code><a href="/link/barplot?package=JointAI&version=1.0.6" data-mini-rdoc="JointAI::barplot">barplot</a></code>
and <code><a href="/link/hist?package=JointAI&version=1.0.6" data-mini-rdoc="JointAI::hist">hist</a></code></dd></dl>

Arguments

Visualize the distribution of all variables in the dataset — plot_all

<dl>

<dt>data</dt>
<dd>a <code>data.frame</code> (or a <code>matrix</code>)</dd>


<dt>nrow</dt>
<dd>optional; number of rows in the plot layout;
automatically chosen if unspecified</dd>


<dt>ncol</dt>
<dd>optional; number of columns in the plot layout;
automatically chosen if unspecified</dd>


<dt>fill</dt>
<dd>colour the histograms and bars are filled with</dd>


<dt>border</dt>
<dd>colour of the borders of the histograms and bars</dd>


<dt>allNA</dt>
<dd>logical; if <code>FALSE</code> (default) the proportion of missing
values is only given for variables that have missing values,
if <code>TRUE</code> it is given for all variables</dd>


<dt>idvars</dt>
<dd>name of the column that specifies the multi-level grouping
structure</dd>


<dt>xlab, ylab</dt>
<dd>labels for the x- and y-axis</dd>


<dt>...</dt>
<dd>additional parameters passed to <code><a href='https://rdrr.io/r/graphics/barplot.html'>barplot</a></code>
and <code><a href='https://rdrr.io/r/graphics/hist.html'>hist</a></code></dd>

</dl>

plot_all: Visualize the distribution of all variables in the dataset

Description

Usage

Arguments

See Also

Examples