viewdata_MRMC: View MRMC data
In BayesianFROC: FROC Analysis by Bayesian Approaches

Build a table for data dataList.

1	viewdata_MRMC(dataList, summary = TRUE, head.only = FALSE)

dataList

it should include m,q,c,h,f,NL,C,M,Q which means from the right

m means the modality ID vector

q means the reader ID vector

c means the confidence level

h means the number of hits

f means the number of false alarm

NL means the Total number of lesions for all images

C means the highest number of confidence level

M means the number of modalities

Q means the number of readers.

The detail of these dataset, please see the endowed datasets. Note that the maximal number of confidence level, denoted by C, are included, however, its each confidence level should not included your data. So, to confirm your false positives and hits are correctly correspondence to confidence levels, you should confirm the orders by the function viewdata_MRMC.

summary

TRUE or FALSE, if true then results are printed, if FALSE this function do nothing.

head.only

Logical: TRUE of FALSE. Whether head part or entire. If TRUE, only head part are shown. Default is FALSE

BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.