R: Plot For Model-Based and 2x2 Table-Based Meta-Analysis Result
plot.gmeta
R Documentation
Plot For Model-Based and 2x2 Table-Based Meta-Analysis Result
Description
Produce a forest-like plot for object of gmeta class, the result of model-based or 2x2-table-based meta-analysis using gmeta function.
Usage
## S3 method for class 'gmeta'
plot(gmo, studies=NULL,
plot.option=c('confidence-density',
'confidence-curve', 'cv',
'confidence-distribution', 'cdf'),
type='l', xlab='x', ylab='density', xlim=NULL, ylim=NULL, ...)
Arguments
gmo
an object of gmeta holding results of model-based or 2x2-table-based meta-analysis from gmeta function.
studies
a vector specifying the index of individual studies shown on the plot beside the combined one.
plot.option
an option for plot. The default is 'confidence-density' for CD density. Other choices are 'confidence-curve' or 'cv' for confidence curve, and 'confidence-distribution' or 'cdf' for CD.
type
as the type argument in plot with the default of 'l'.
xlab
as the xlab argument in plot with the default of 'x'.
ylab
as the ylab argument in plot with the default of 'confidence density' when plot.option='confidence-density'. Other choices are 'confidence curve' when plot.option is 'confidence-curve' or 'cv', and 'confidence distribution' when plot.option is 'confidence-distribution' or 'cdf'.
xlim
as the xlim argument in plot.
ylim
as the ylim argument in plot, scaled if studies is specified.
...
other arguments that can be specified in plot.
Details
This function produces a forest-like plot for model-based or 2x2-table-based meta-analysis from the result of gmeta function call. The argument plot.option provides a choice of displaying confidence densities, curves, or distributions.
Value
A figure of combined and inidividual confidence densities, curves, or distributions.
Note
Revised on 2014/12/10.
Author(s)
Guang Yang <gyang.rutgers@gmail.com>, Jerry Q. Cheng <jcheng1@rwjms.rutgers.edu> and Minge Xie <mxie@stat.rutgers.edu>
References
Xie, M. and Singh, K. (2013)
Confidence distribution, the frequentist distribution estimator of a parameter (with discussions).
International Statistical Review, 81 3-39.
Xie, M., Singh, K., and Strawderman, W. E. (2011).
Confidencedence distributions and a unifying framework for meta-analysis.
Journal of the American Statistical Association, 106 320-333.
Yang, G., Liu, D., Wang, J. and Xie, M. (2016).
Meta-analysis framework for exact inferences with application to the analysis of rare events.
Biometrics.