giavarina.2015

This is sample comparison data, taken from Giavarina's 2015 paper on Bland-Altman analysis. The data is from table 1 of the paper. I do not claim any copyright on the data - this is meant to allow testing of the function. I encourage future package authors to use the .rda file if they so wish.

datasets

Carries out Bland Altman analyses (also known as a Tukey
mean-difference plot) as described by JM Bland and DG Altman in
1986 <doi:10.1016/S0140-6736(86)90837-8>. This package was created in
2015 as existing Bland-Altman analysis functions did not calculate
confidence intervals. This package was created to rectify this,
and create reproducible plots. This package is also available as a module
for the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org>
for more information).

Deepankar Datta

blandr

Bland-Altman Method Comparison

Jonathon Love

giavarina.2015 function

A data frame with 30 observations on the following 5 variables.<dl>
 <dt><code>Method.A</code></dt>
<dd>a numeric vector</dd> <dt><code>Method.B</code></dt>
<dd>a numeric vector</dd> <dt><code>Mean</code></dt>
<dd>a numeric vector</dd> <dt><code>Difference</code></dt>
<dd>a numeric vector</dd> <dt><code>Diff.Mean.Proportion</code></dt>
<dd>a factor with levels</dd> 
</dl>

Format

Sample comparison data from Giavarina (2015) — giavarina.2015

A data frame with 30 observations on the following 5 variables.<dl>
 <dt><code>Method.A</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Method.B</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Mean</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Difference</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Diff.Mean.Proportion</code></dt>
<dd>a factor with levels</dd>

 
</dl>

giavarina.2015: Sample comparison data from Giavarina (2015)

Description

Usage

Arguments

Format

References

Examples