run.bootstraps: Bootstrapping procedure

In iTOP: Inferring the Topology of Omics Data

Description

Performs a bootstrapping procedure. The result from this function can be used with rv.conf.interval() to determine confidence intervals. By decoupling this into two functions, you don't have to redo the bootstrapping for every confidence interval, hence increasing the runtime speed.

Usage

run.bootstraps(config_matrices, nboots = 1000)

Arguments

config_matrices	The result from compute.config.matrices().
nboots	The number of bootstraps to perform (default=1000).

Value

An n x n x nboots array of RV coefficients for the bootstrapped data, where n is the number of datasets.

Examples

set.seed(2)
n = 100
p = 100
x1 = matrix(rnorm(n*p), n, p)
x2 = x1 + matrix(rnorm(n*p), n, p)
x3 = x2 + matrix(rnorm(n*p), n, p)
data = list(x1=x1, x2=x2, x3=x3)
config_matrices = compute.config.matrices(data)
cors_boot = run.bootstraps(config_matrices, nboots=1000)
rv.conf.interval(cors_boot, "x1", "x3", "x2")

iTOP documentation built on May 2, 2019, 3:44 a.m.