Description Usage Arguments Details Value Examples

View source: R/give_name_srsc_data.R

Give a Name for a vector representing cumulative true positives (CTPs) or cumulative false positives (CFPs).

1 2 3 4 5 | ```
give_name_srsc_CFP_CTP_vector(
vector,
CFP.or.CTP = "CFP",
ModifiedPoisson = FALSE
)
``` |

`vector` |
A vector representing cumulative true positives (CTPs) or cumulative false positives (CFPs). |

`CFP.or.CTP` |
"CFP" or "CTP". Default value is “CFP”. |

`ModifiedPoisson` |
Logical, that is If .
per lesionSimilarly, If .
per imageFor more details, see the author's paper in which I explained If
where On the other hand, if
where The model is fitted so that
the estimated FROC curve can be ragraded
as the expected pairs of FPF per image and TPF per lesion ( or as the expected pairs of FPF per image and TPF per lesion ( If On the other hand, if So,data of FPF and TPF are changed thus, a fitted model is also changed whether Revised 2019 Dec 8 Revised 2019 Nov 25 Revised 2019 August 28 |

Some function in this package give the return values of vectors representing the CFP or CTPs. Using this function, we specify what the components of vector means. This is important since its order is not deterministic, that is, its order give two case, one is decreasing and one is increasing order. So, to avoid such confusion, the name should be specified. Of course this function is no needed for user to know or to use it.

A vector representing cumulative true positives (CTPs) or cumulative false positives (CFPs) with its name.

1 2 3 4 5 6 7 | ```
h <- BayesianFROC::dataList.Chakra.1$h
NL <- BayesianFROC::dataList.Chakra.1$NL
CTP.vector <- cumsum(h)/NL
CTP.vector.with.name <- give_name_srsc_CFP_CTP_vector(CTP.vector)
``` |

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