get.masterpool.cv.fold.data | R Documentation |
Splits masterpool testing data into crossvalidation data sets
get.masterpool.cv.fold.data(X, Y, Z, K)
X |
Design matrix with first column a column of 1s. |
Y |
Group testing output from one of the functions |
Z |
Group testing output from one of the functions |
K |
The number of crossvalidation folds. |
List of length K
of the crossvalidation training and testing data sets.
# generate individual covariate values and disease statuses N <- 160 data <- model1(N) X <- data$X Y.true <- data$Yi Se <- c(.95) # set master pool assay sensitivity Sp <- c(.97) # set master pool assay specificity cj <- 4 # set size of master pools # subject individuals to master pool testing assay.data <- masterpool.assay.gen(Y.true,Se,Sp,cj) Z <- assay.data$Z Y <- assay.data$Y masterpool.cv.fold.data <- get.masterpool.cv.fold.data(X,Y,Z,K=5)
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