jobs_create: jobs create

In tdhock/PeakSegPipeline: Genome-Wide Peak Prediction Using Supervised Learning and Optimal Segmentation

Description

Setup a data directory for analysis with PeakSegPipeline.

Usage

jobs_create(data.dir.arg, 
    target.minutes = NULL, 
    verbose = getOption("PeakSegPipeline.verbose", 
        1))

Arguments

data.dir.arg	path to project directory.
target.minutes	Maximum number of minutes to spend computing the target interval during Step1 of the pipeline (learning what penalties result in low label error). If this is a number then a target.minutes file will be written to each problem directory – this number in this file is used as the maximum number of minutes by the problem.target function.
verbose	TRUE for output, FALSE otherwise.

Value

data.table with one row for each job and three columns: fun, arg, step. fun is the function to call with argument arg, in order specified by step (smaller steps first).

Author(s)

Toby Dylan Hocking

tdhock/PeakSegPipeline documentation built on March 3, 2020, 1:35 a.m.