http://r.qcbs.ca/workshop10/book-en/redundancy-analysis.html WebDistance base redundancy analysis (db-RDA) is very similar to standard redundancy analysis (RDA) however, db-RDA is capable of performing redundancy analysis with any type of distance matrix. This is especially advantages with species datasets which typically utilize the Bray-Curtis distance matrix to compensate for rare species counts.

cca function - RDocumentation

WebRedundancy Analysis (RDA) can be thought of as a multivariate approach of linear models, which means a linear model with many dependent variables. RDA works by building a … WebPearson correlation, redundancy analysis, and multivariable linear regression analysis showed that suspended substances and Planctomycetes were positively correlated with the concentrations of ARGs (p < 0.05). The current study indicates that the water source may be a critical source of ARGs, and that suspended substances is a key factor ... birdman of shady rest petticoat junction

Principal component analysis and redundancy analysis

WebWhat is Redundancy Analysis? Redundancy Analysis (RDA) can be thought of as a multivariate approach of linear models, which means a linear model with many dependent variables. WebRedundancy Analysis (RDA) is a direct extension of multiple regression, as it models the effect of an explanatory matrix X X (n x p) on a response matrix Y Y (n x m). The difference here is that we can model effect of an explanatory matrix on a response matrix, rather … WebWe compare redundancy analysis to pcadapt, which is a nonconstrained ordination method, and to a latent factor mixed model (LFMM), which is a univariate genotype-environment association method. Individual-based simulations identify evolutionary scenarios where RDA genome scans have a greater statistical power than genome scans based on PCA. damgoode pies little rock ar