m_q_c_vector_from_M_Q_C: Creats vectors: 'm,q,c' from integers: 'M,Q,C'

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

Makes m,q,c vectors from a collection of three integers M,Q,C, where three vectors m,q,c denotes modality ID, reader ID, confidence level, respectively.

Usage

m_q_c_vector_from_M_Q_C(M, Q, C)

Arguments

M	A positive integer, representing modality ID
Q	A positive integer, representing reader ID
C	A positive integer, representing confidence level

Details

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Value

A data-frame, including three vectors, which are named m,q,c representing modality ID and reader ID and confidence level, respectively.

For example, the resulting object of a <- m_q_c_vector_from_M_Q_C(2,3,4) is given by

> a

m	q	c
--------	------	---------
1	1	4
1	1	3
1	1	2
1	1	1
1	2	4
1	2	3
1	2	2
1	2	1
1	3	4
1	3	3
1	3	2
1	3	1
2	1	4
2	1	3
2	1	2
2	1	1
2	2	4
2	2	3
2	2	2
2	2	1
2	3	4
2	3	3
2	3	2
2	3	1

Examples

#========================================================================================
#                     Create a ID vectors
#========================================================================================

  a <- m_q_c_vector_from_M_Q_C(2,3,4)

  a$m
  a$q
  a$c



#========================================================================================
#                      validation of this function
#========================================================================================
#'


            a   <- m_q_c_vector_from_M_Q_C(5,4,5)


            a$m == dd$m
            a$c == dd$c
            a$q == dd$q

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