Bootstrap: Process module: Boostrap

In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package

Description

Process module to generate random bootstraps of the data.

Usage

Bootstrap(.data, n = NULL, seed = NULL)

Arguments

.data	Internal parameter, do not use in the workflow function. .data is a list of a data frame and a raster object returned from occurrence modules and covariate modules respectively. .data is passed automatically in workflow from the occurrence and covariate modules to the process module(s) and should not be passed by the user.
n	the number of points to sample. Defaults to the same number as the dataset
seed	Numeric used with set.seed

Version

1.0

Date submitted

2016-03-23

Data type

presence-only, presence/absence, abundance, proportion

Author(s)

ZOON Developers, [e-mail]

See Also

Other process: AddRandomUniformPredictors, BackgroundAndCrossvalid, Background, CarolinaWrenValidation, Clean, Crossvalidate, JitterOccurrence, LonLatToCovariates, MESSMask, NoProcess, OneHundredBackground, OneThousandBackground, PartitionDisc, RemoveNAs, StandardiseCov, SubsampleOccurrence, TargetGroupBackground, Transform, addInteraction, spThin

zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.