dnet (version 1.0.0)

dPvalAggregate: Function to aggregate p values

Description

dPvalAggregate is supposed to aggregate a input matrix p-values into a vector of aggregated p-values. The aggregate operation is applied to each row of input matrix, each resulting in an aggregated p-value. The method implemented can be based on the order statistics of p-values or according to Fisher's method.

Usage

dPvalAggregate(pmatrix, method = c("orderStatistic", "fishers"),
order = ncol(pmatrix))

Arguments

pmatrix

a data frame or matrix of p-values

method

the method used. It can be either "orderStatistic" for the method based on the order statistics of p-values, or "fishers" for Fisher's method

order

an integeter specifying the order used for the aggregation according to on the order statistics of p-values

Value

• • ap: a vector with the length nrow(pmatrix), containing aggregated p-values

See Also

dPvalAggregate

Examples

# 1) generate an iid uniformly-distributed random matrix of 1000x3
pmatrix <- cbind(runif(1000), runif(1000), runif(1000))

# 2) aggregate according to the ordre statistics
ap <- dPvalAggregate(pmatrix, method="orderStatistic")

# 3) aggregate according to the Fisher's method
ap <- dPvalAggregate(pmatrix, method="fishers")