Redundancy Analysis

method

Redundancy analysis (RDA) is a constrained ordination analysis used for linear relationships.

Published

February 2, 2024

Modified

January 29, 2024

Description

Redundancy Analysis (RDA) is a constrained multivariate ordination method used for exploring the relationship between sets of response variables and explanatory variables in ecological and environmental studies. RDA extends the principles of multiple linear regression to the analysis of multivariate response data and therefore best suited for linear responses. The method aims to maximize the explained variance in the response variables by linearly combining the explanatory variables.

Example

wetlands <- readRDS("wetlands.rds")

library(vegan)

rda_ord <- rda(wetlands$cross, wetlands$env[ , c(
            "groundwater",
            "tmean",
            "tseason",
                        "prsum",
            "prseason")])
plot(rda_ord)