Stratification Design

Assign arrays to samples with stratification, a study design assigning arrays in each batch to each sample group proportionally.

Usage

stratification.design(seed, num.array, batch.id)

Arguments

seed

an integer used to initialize a pseudorandom number generator.

num.array

number of arrays.

batch.id

a list of array indices grouped by batches when data were profiled. The length of the list must be equal to the number of batches in the data; the number of array indices must be the same as the number of samples.

Value

a vector of array IDs in the order of assigning to samples that are assumed to be sorted by sample group of interest As a result, the first half of the array IDs are assigned to group 1 and the second half of the array IDs are assigned to group 2.

Examples

batch.id <- list(1:40, 41:64, (129:160) - 64, (161:192) - 64)
str.ind <- stratification.design(seed = 1, num.array = 128,
                                 batch.id = batch.id)