paired.plotBA: Bland-Altman plot

In PairedData: Paired Data Analysis

Description

Produce a Bland-Altman plot for paired data, including a confidence region for the mean of the differences.

Usage

paired.plotBA(df, condition1, condition2, groups = NULL, 
facet = TRUE, ...)

Arguments

df	a data.frame.
condition1	name of the variable corresponding to the first sample.
condition2	name of the variable corresponding to the first sample.
groups	name of the variable corresponding to the groups (optional).
facet	faceting or grouping strategy for plotting?
...	arguments to be passed to methods

Value

a graphical object of class ggplot.

Author(s)

Stephane CHAMPELY

References

• Bland, J.M. and Altman D.G. (1999) Measuring agreement in method comparison studies. Statistical Methods in Medical Research, 8, 135-160.

• Meek, D.M. (2007) Two macros for producing graphs to assess agreement between two variables. In Proceedings of Midwest SAS Users Group Annual Meeting, October 2007.

See Also

tmd

Examples

data(PrisonStress)
paired.plotBA(PrisonStress,"PSSbefore","PSSafter")

# Extending the resulting ggplot object by faceting
paired.plotBA(PrisonStress,"PSSbefore","PSSafter")+facet_grid(~Group)

Example output

Loading required package: MASS
Loading required package: gld
Loading required package: mvtnorm
Loading required package: lattice
Loading required package: ggplot2

Attaching package: 'PairedData'

The following object is masked from 'package:base':

    summary

PairedData documentation built on May 1, 2019, 6:49 p.m.