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