repl.hs.comp: Replicate hotspot comparison

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

Description

This function calculates hotspot correlation, loss, gain or balance for the different replicates per sampling scheme and taxonomic group.

Usage

repl.hs.comp(seqsubmats.hs, hs.baseline, method = "Phi", 
stats = TRUE, plot = TRUE, plot.mean = TRUE, ylim = NULL, 
horiz.line = NA)

Arguments

seqsubmats.hs	hotspots for the seqsubmats
hs.baseline	hotspots for the baseline
method	binary comparison method to use. See binary.comparison for available options.
stats	logical, whether to calculate also the stats (mean, min, max, sd) of the replicate comparison for each group.
plot	logical, whether to plot the hotspot comparison values per replicate per group.
plot.mean	logical, whether to plot (with a white circle) the mean value of the replicates per group.
ylim	limits for the y axis. The default is NULL for automatic limits, but you may want to use ylim = c(0,1) for e.g. phi correlations to be directly comparable among plots.
horiz.line	optionally, a numeric value indicating the y axis value for a horizontal threshold line to be drawn.

Value

This function returns a list.

Author(s)

A. Marcia Barbosa

See Also

binary.comparison

Examples

## Not run: 
replicate.corrs <- repl.hs.comp(seqsubmats.hs = seqsubmats.hs, 
hs.baseline = hs.baseline, method = "Phi")

replicate.gains <- repl.hs.comp(seqsubmats.hs = seqsubmats.hs, 
hs.baseline = hs.baseline, method = "gain")

## End(Not run)

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