methcon5 (version 0.1.0)

meth_bootstrap: Bootstrapped randomly samples values

Description

"perm_v1" (the default method) will sample the variables the rows independently. "perm_v2" will sample regions of same size while allowing overlap between different regions. "perm_v3" will sample regions under the constraint that all sampled regions are contained in the region they are sampled in.

Usage

meth_bootstrap(data, reps, method = c("perm_v1", "perm_v2", "perm_v3"))

Arguments

data

a methcon data.frame output from `meth_bootstrap`.

reps

Number of reps, defaults to 1000.

method

Character, determining which method to use. See details for information about methods. Defaults to "perm_v1".

Value

A methcon object. Contains the aggregated data along with original data.frame and variable selections and bootstrapped values.

Details

Note that you can apply `meth_bootstrap` multiple times to get values for different methods.

Examples

# NOT RUN {
# Note that you likely want to do more than 10 repitions.
# rep = 10 was chosen to have the examples run fast.

fake_methylation %>%
  meth_aggregate(id = gene, value = meth, fun = mean) %>%
  meth_bootstrap(10)

fake_methylation %>%
  meth_aggregate(id = gene, value = meth, fun = mean) %>%
  meth_bootstrap(10, method = "perm_v2")

# Get multiple bootstraps
fake_methylation %>%
  meth_aggregate(id = gene, value = meth, fun = mean) %>%
  meth_bootstrap(10, method = "perm_v1") %>%
  meth_bootstrap(10, method = "perm_v2") %>%
  meth_bootstrap(10, method = "perm_v3")
# }