hsroc.plot: Plotting Results from 'nmadt.hsroc' and 'nmadt.hsroc.MNAR'
In NMADiagT: Network Meta-Analysis of Multiple Diagnostic Tests

Description Usage Arguments Examples

View source: R/hsroc.plot.R

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

1 2	hsroc.plot(nstu, K, data, testname, output, directory, typeofplot = c("density", "forest", "sroc", "contour"), n.chains = 3)

`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.hsroc` or `nmadt.hsroc.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.hsroc` or `nmadt.hsroc.MNAR`. The default is 3.

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