hierarchical.plot {NMADiagT}

Plotting Results from nmadt.hierarchical and nmadt.hierarchical.MNAR

Description

hierarchical.plot plots the results from nmadt.hierarchical and nmadt.hierarchical.MNAR.Graphics representation includes density plots, forest plots, SROC curves, and contour plots of the results.

Usage

hierarchical.plot(nstu, K, data, testname, output, directory,
  typeofplot = c("density", "forest", "sroc", "contour"), n.chains = 3)

Arguments

nstu

an integer indicating the number of studies included in the dataset.

K

an integer indicating the number of candiate test in the dataset.

data

a list conating the input dataset to be used for meta-analysis.

testname

a string vector of the names of the candidate tests in the dataset in the same order as presetned in the dataset.

output

a list object obtained by function nmadt.hierarchical and nmadt.hierarchical.MNAR.

directory

a string specifying the designated directory to save the plots.

typeofplot

a string vector containing the types of plot to be generated including "density", "forest","sroc", and "contour".

n.chains

a number indicating number of MCMC chains generated using nmadt.hierarchical and nmadt.hierarchical.MNAR. The default is 3.

Examples

kangdata<-read.csv(file=system.file("extdata","kangdata.csv",package="NMADiagT"),
header=TRUE, sep=",")
set.seed(9)
kang.out <- nmadt.hierarchical(nstu=12, K=2, data=kangdata, testname=c("D-dimer","Ultrasonography"))
hierarchical.plot(nstu=12, K=2, data=kangdata, directory = tempdir(),
testname=c("D-dimer","Ultrasonography"),output=kang.out)