estimate_significance_core: Significance of Observed Mean

In kkrismer/transite: RNA-binding protein motif analysis

Significance of Observed Mean

Description

estimate_significance_core returns an estimate of the significance of the observed mean, given a vector of means based on random permutations of the data.

Usage

estimate_significance_core(
  random_means,
  actual_mean,
  alternative = c("two_sided", "less", "greater"),
  conf_level = 0.95
)

Arguments

random_means	numeric vector of means based on random permutations of the data (empirical null distribution)
actual_mean	observed mean
alternative	side of the test, one of the following: "two_sided", "less", "greater"
conf_level	confidence level for the returned confidence interval

Value

A list with the following components:

p_value_estimate	the estimated p-value of the observed mean
conf_int	the confidence interval around that estimate

See Also

Other k-mer functions: calculate_kmer_enrichment(), check_kmers(), compute_kmer_enrichment(), count_homopolymer_corrected_kmers(), create_kmer_origin_list(), draw_volcano_plot(), estimate_significance(), generate_kmers(), generate_permuted_enrichments(), run_kmer_spma(), run_kmer_tsma()

Examples

test_sd <- 1.0
test_null_distribution <- rnorm(n = 10000, mean = 1.0, sd = test_sd)

estimate_significance_core(test_null_distribution, test_sd * 2, "greater")

kkrismer/transite documentation built on July 13, 2024, 8:01 a.m.