computeVariability: computeVariability

Description Usage Arguments Value Examples

View source: R/compute_variability.R

Description

function to compute overall variability of motif sets across samples

Usage

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computeVariability(object, bootstrap_error = TRUE, bootstrap_samples = 1000,
  bootstrap_quantiles = c(0.025, 0.975), na.rm = TRUE)

Arguments

object

output from computeDeviations

bootstrap_error

compute bootstrap confidence interval

bootstrap_samples

number of bootstrap samples to take

bootstrap_quantiles

quantiles for bootstrap

na.rm

remove NAs? default is true

Value

data.frame with columns for name, variability, bootstrap lower bound, bootstrap upper bound, raw p value, adjust p value.

Examples

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# Load very small example results from computeDeviations
data(mini_dev, package = "chromVAR")
variability <- computeVariability(mini_dev)                        

GreenleafLab/chromVAR documentation built on Aug. 20, 2019, 11:39 a.m.