sims-varyingntests: Simulation study results (varying number of tests)

In stephaniehicks/benchmarkfdrData2019: Data and Benchmarking Results from Korthauer and Kimes et al. (2019)

Description

Results for simulations used in Korthauer and Kimes et al. (2019) across varying number of hypotheses tested, using standard Gaussian distributed test statistics, and ‘sine’ informative and paired uninformative covariates stored as a list of SummarizedBenchmark objects from 100 replications. Simulations were performed with 100, 500, 1000, 5000, 10000, and 50000 tests.

Arguments

metadata

logical whether to load metadata (TRUE) or full resource (FALSE). (default = FALSE)

Details

The object is a list of length 100 corresponding to the 100 replications. Each entry in the list is a named list of two SummarizedBenchmark objects. The results based on using an informative and uninformative covariate are stored as "informative" and "uninformative", respectively.

Examples

`varyingntests-benchmark-n100`(metadata = TRUE)

## Not run: 
`varyingntests-benchmark-n100`()
`varyingntests-benchmark-n500`()
`varyingntests-benchmark-n1000`()
`varyingntests-benchmark-n5000`()
`varyingntests-benchmark-n10000`()
`varyingntests-benchmark-n50000`()

res <- `varyingntests-benchmark-n100`()
res[[1]]$informative
res[[1]]$uninformative

## End(Not run)

stephaniehicks/benchmarkfdrData2019 documentation built on June 20, 2021, 10 a.m.