run.bootstraps {iTOP}

Bootstrapping procedure

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")