# caseID_m_q_c_vector_from_NI_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

 `1` ```caseID_m_q_c_vector_from_NI_M_Q_C(NI, M, Q, C) ```

## Arguments

 `NI` A positive integer, indicating the number of cases, i.e., images `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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25``` ```#======================================================================================== # Create a ID vectors #======================================================================================== a <- caseID_m_q_c_vector_from_NI_M_Q_C(2,2,3,4) a\$caseID a\$m a\$q a\$c #======================================================================================== # validation of this function #======================================================================================== #' a <- caseID_m_q_c_vector_from_NI_M_Q_C(2,2,3,4) a\$caseID a\$m == dd\$m a\$c == dd\$c a\$q == dd\$q ```

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