sequential.seqsubmat: Sequential sequential.submatrix

In AMBarbosa/DeadCanMove: Assess How Spatial Roadkill Patterns Change with Temporal Sampling Scheme

Description

Applies sequential.submatrix sequentially to a set of gap sizes, with window.size =1

Usage

sequential.seqsubmat(dataset, sampl.columns, group.column, gap.sizes,
n.replicates.limit)

Arguments

dataset	name of the matrix or dataframe to analyze
sampl.columns	numbers of the consecutive columns with the (daily) sampling data, e.g. 4:180
group.column	name or index number of the column containing the taxa or groups to analyse separately, e.g. 3 or "Family"; if NULL, all records will be used together
gap.sizes	integer vector of the size(s) of the gaps between sampling days. Must be either 0 (for no gap) or a vector of positive integers.
n.replicates.limit	Maximum number of replicates allowed

Value

This function returns a list of submatrices

Author(s)

A. Marcia Barbosa

See Also

sequential.submatrix

Examples

data(roadkills)

seqsubmats <- sequential.seqsubmat(dataset = roadkills, 
sampl.columns = 4:ncol(roadkills), group.column = "taxon", gap.sizes = 1:4, 
n.replicates.limit = 7)

names(seqsubmats)

# seqsubmats for gap 0 (baseline scenario) must be obtained separately:
seqsubmats.baseline <- sequential.seqsubmat(dataset = roadkills, 
sampl.columns = 4:ncol(roadkills), group.column = 3, gap.sizes = 0, 
n.replicates.limit = 7)

names(seqsubmats.baseline)

AMBarbosa/DeadCanMove documentation built on Nov. 3, 2021, 10:03 a.m.