This package conducts fixed-effects (with inverse variance weighting) and random-effects (DerSimonian and Laird (1986)) meta-analyses of case-control or family-based (TDT) genetic data. In addition, catmap performs meta-analyses which combine these two types of study designs. Specifically, this package implements a fixed-effects model (Kazeem and Farrall (2005)) and a random-effects model (Nicodemus (2008)) for combined studies. This package was removed from the CRAN repository sometime after 2009. This is a rendition of the original package updated to work with the newest version of R. The algorithms have not changed since catmap version 1.6.0; however, this version has added some aesthetic improvements.
The main function, catmap
, accepts data.frame
, matrix
, or file input. See ?catmapdata
for help.
library(catmap) data(catmapdata) catmapdata
It is important to save the output of the catmap
function for the next step in the analysis.
c1 <- catmap(catmapdata, 0.95, FALSE)
Four secondary functions use the output of the catmap
function to build the meta-analysis figures, including the forest plot and the funnel plot. The functions below output these figures to the working directory as pdf files.
# Make forest plots ?catmap.forest ?catmap.sense ?catmap.cumulative # Make funnel plot ?catmap.funnel
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