make_rlq: Create matrices for RLQ analysis
In SrivastavaLab/bwgtools: Access data from the bromeliad working group

Description Usage Arguments Details Value

Combines data on inverts, traits and bromeliads to create RLQ matrices.

1	make_rlq(sitename, .invert, .traits, .bromvars)

`sitename`	name of site
`.invert`	invertebrate data.frame
`.traits`	trait data.frame
`.bromvars`	bromeliad variable data.frame

RLQ analysis is a means of relating three datasets: species traits, habitat traits, and species abundances. There are three matrices required for this analysis, as follows:

species x traits matrix (fuzzy coding) = matrix Q
a species x bromeliad matrix (abundance data) = matrix L
a bromeliad x environmental variables (plant specific data, including physical, hydrological, ..) = matrix R

named list of matrices: R, L and Q

SrivastavaLab/bwgtools documentation built on May 9, 2019, 1:54 p.m.