.pchc_plot_by_dim

This internal function plots Paretian Classification of Health Change (PCHC) by dimension. 
The input is a data frame containing the information to plot, and the plot will contain bars representing 
the proportion of the total data that falls into each dimension, stacked by covariate.
The wrapper is used in Figures 2.2-2.4.

The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL),
developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care,
usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale.
Scores from these dimensions are commonly converted into a single utility index using country-specific value sets,
which are critical in clinical and economic evaluations of healthcare and in population health surveys.
The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments,
including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008>
(mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk
by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses
to EQ-5D-5L index values). Users are allowed to add and/or remove user-defined value sets.
Additionally, the package provides tools to analyze EQ-5D data according to the recommended
guidelines outlined in "Methods for Analyzing and Reporting EQ-5D data" by Devlin et al. (2020) <doi:10.1007/978-3-030-47622-9>.

Kim Rand

eq5dsuite

Handling and Analysing EQ-5d Data

Iryna Schlackow

Anabel Estévez-Carrillo

.pchc_plot_by_dim function

<dl><dt>plot_data</dt>
<dd>A data frame containing information to plot, with columns for name (the dimensions to plot), p (the proportion of the total data falling into each dimension), and fu (the follow-up).</dd>
<dt>ylab</dt>
<dd>The label for the y-axis.</dd>
<dt>title</dt>
<dd>The plot title.</dd>
<dt>cols</dt>
<dd>A vector of colors to use for the bars.</dd>
<dt>text_rotate</dt>
<dd>A logical indicating whether to rotate the text labels for the bars.</dd></dl>

Arguments

Wrapper to generate Paretian Classification of Health Change plot by dimension — .pchc_plot_by_dim

<dl>

<dt>plot_data</dt>
<dd>A data frame containing information to plot, with columns for name (the dimensions to plot), p (the proportion of the total data falling into each dimension), and fu (the follow-up).</dd>


<dt>ylab</dt>
<dd>The label for the y-axis.</dd>


<dt>title</dt>
<dd>The plot title.</dd>


<dt>cols</dt>
<dd>A vector of colors to use for the bars.</dd>


<dt>text_rotate</dt>
<dd>A logical indicating whether to rotate the text labels for the bars.</dd>

</dl>

.pchc_plot_by_dim: Wrapper to generate Paretian Classification of Health Change plot by dimension

Description

Usage

Value

Arguments

Examples