empiricalEnrichmentMeanCDF {transite} | R Documentation |
empiricalEnrichmentMeanCDF
returns an estimate of the significance
of the observed
mean, given a vector of means based on random permutations of the data.
empiricalEnrichmentMeanCDF(random.means, actual.mean, alternative = c("two.sided", "less", "greater"), conf.level = 0.95)
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:
|
conf.level |
confidence level for the returned confidence interval. |
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 |
Other k-mer functions: calculateKmerEnrichment
,
checkKmers
,
computeKmerEnrichment
,
drawVolcanoPlot
,
generateKmers
,
generatePermutedEnrichments
,
homopolymerCorrection
,
permTestGeometricMean
,
runKmerSPMA
, runKmerTSMA
test.sd <- 1.0 test.null.distribution <- rnorm(n = 10000, mean = 1.0, sd = test.sd) empiricalEnrichmentMeanCDF(test.null.distribution, test.sd * 2, "greater")