View source: R/DfExtractCorCbmDataset.R
DfExtractCorCbmDataset | R Documentation |
Extract a paired dataset from a larger dataset. The pairing could be two readers in the same treatment, or different readers in different treatments, or the same reader in different treatments. If necessary The data is binned to 5 bins in each condition.
DfExtractCorCbmDataset(dataset, trts = 1, rdrs = 1)
dataset |
The original dataset from which the pairing is to be extracted |
trts |
A vector, maximum length 2, contains the indices of the treatment or treatments to be extracted |
rdrs |
A vector, maximum length 2, contains the indices of the reader or readers to be extracted |
The desired pairing is contained in the vectors trts
and rdrs
.
If either has length one, the other must
have length two and the pairing is implicit. If both are length two, then the pairing
is that implied by the first treatement
and the second reader, which is one arm, and the other arm is that implied by the second
treatment paired with the first
reader. Using this method any allowed pairing can be extracted and analyzed by FitCorCbm
.
The utility of this software is
in designing a ratings simulator that is statistically matched to a real dataset.
A new dataset in which the number of treatments is one and the number of readers is two
## Extract the paired data corresponding to the second and third readers in the first treatment ## from the included ROC dataset dataset11_23 <- DfExtractCorCbmDataset(dataset05, trts = 1, rdrs = c(2,3)) ## Extract the paired data corresponding to the third reader in the first and second treatments dataset12_33 <- DfExtractCorCbmDataset(dataset05, trts = c(1,2), rdrs = 3) ## Extract the data corresponding to the first reader in the first ## treatment paired with the data ## from the third reader in the second treatment ## (the bin indices are at different positions in the two arrays) dataset12_13 <- DfExtractCorCbmDataset(dataset05, trts = c(1,2), rdrs = c(1,3))
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