groups_by_filter: Stratify hypotheses based on increasing value of the...
In IHW: Independent Hypothesis Weighting

Hypotheses are stratified into nbins different strata of (approximately) equal size based on increasing value of the covariate

1	groups_by_filter(covariate, nbins, ties.method = "random", seed = NULL)

`covariate`	Numeric vector of ordinal covariates based on which the stratification will be done.
`nbins`	Integer, number of groups/strata into which p-values will be split based on covariate.
`ties.method`	Character specifying how ties are treated, see `rank` function.
`seed`	Integer, specifies random seed to be used when ties.method=="random".

A factor with nbins different levels, each entry corresponds to the stratum the i-th hypothesis was assigned to.

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 covariates <- runif(100)
 groups <- groups_by_filter(covariates,10)
 table(groups)

IHW documentation built on Nov. 8, 2020, 7:44 p.m.

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