dddddd: Multiple reader and single modality data

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

This is a subset of dd

This dataset is made, as a toy data, which is a subset of data dd

dddddd$M

2 modalities

dddddd$C

3 Confidence levels

dddddd$Q

2 readers

Details

The model did not converge both null model and alternative model in 2019 Jun 21.

Contents of dddddd

NL = 142 (Number of Lesions)

NI = 199 (Number of Images)#'

Contents:

Multiple readers and multiple modalities case, i.e., MRMC case

—————————————————————————————————

ModalityID	ReaderID	Confidence levels	No. of false alarms	No. of hits.
q	m	c	f	h
--------------	-------------	------------------------	-------------------	----------------
1	1	3	20	11
1	1	2	29	5
1	1	1	21	1
1	2	3	6	29
1	2	2	15	1
1	2	1	22	0
2	1	3	21	13
2	1	2	24	4
2	1	1	23	1
2	2	3	5	29
2	2	2	30	1
2	2	1	40	0

—————————————————————————————————

Author(s)

Issei Tsunoda [e-mail]

References

Example data of Jafroc software

See Also

dataList.Chakra.Web dataList.Chakra.Web.orderd dd

Examples

#========================================================================================
#                        Show data by table
#========================================================================================



                        viewdata(dddddd)




####1#### ####2#### ####3#### ####4#### ####5#### ####6#### ####7#### ####8#### ####9####
#========================================================================================
#                       make an object dddd from an object dd
#========================================================================================



ddd  <-  data.frame(m=dd$m,q=dd$q,c=dd$c,h=dd$h,f=dd$f)
dddd <- ddd[ddd$q < 3,]

# The following code extract the first and the second modality from dd
dddd <- dddd[dddd$m < 3,]  #  Reduce the dataset ddd, i.e., dd
dddd <- dddd[dddd$c <4,]
ddd <- list(
  m=dddd$m,
  q=dddd$q,
  c=dddd$c,
  h=dddd$h,
  f=dddd$f,
  NL=142,
  NI=199, # 2020 April 6
  C=max(dddd$c),
  M=max(dddd$m),
  Q=max(dddd$q)
)

dddddd <-ddd


# This dataset is made in 2019 July 6, for the aim of easy exihibition
# This dataset is very minimum, and it is easy to view

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