Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology

---

Documentation for package ‘douconca’ version 1.2.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

anova.cca0	Permutation Test for canonical correspondence analysis
anova.dcca	Community- and Species-Level Permutation Test in Double Constrained Correspondence Analysis (dc-CA)
anova.wrda	Permutation Test for weighted redundancy analysis
anova_sites	Utility function: community-level permutation test in Double Constrained Correspondence Analysis (dc-CA)
anova_species	Utility function: Species-level Permutation Test in Double Constrained Correspondence Analysis (dc-CA)
cca0	Performs a canonical correspondence analysis
coef.dcca	Coefficients of double-constrained correspondence analysis (dc-CA)
dc_CA	Performs (weighted) double constrained correspondence analysis (dc-CA)
dune_trait_env	Dune meadow data with plant species traits and environmental variables
fCWM_SNC	Calculate community weighted means and species niche centroids for double constrained correspondence analysis
fitted.dcca	Fitted values of double-constrained correspondence analysis (dc-CA)
fN2	Hill number of order 2: N2
FS	Default forward selection function.
FS.dcca	Forward selection of traits or environmental variables using dc-CA.
FS.wrda	Forward selection of predictor variables using wrda or cca0
getPlotdata	Utility function: extracting data from a 'dc_CA' object for plotting a single axis by your own code or 'plot.dcca'.
ipf2N2	Iterative proportional fitting of an abundance table to Hill-N2 marginals
plot.dcca	Plot a single dc-CA axis with CWMs, SNCs, trait and environment scores.
plot_dcCA_CWM_SNC	Plot the CWMs and SNCs of a single dc-CA axis.
plot_species_scores_bk	Vertical ggplot2 line plot of ordination scores
predict.dcca	Prediction for double-constrained correspondence analysis (dc-CA)
predict.wrda	Prediction from cca0 and wrda models
print.dcca	Print a summary of a dc-CA object.
print.wrda	Print a summary of a wrda or cca0 object
scores.dcca	Extract results of a double constrained correspondence analysis (dc-CA)
scores.wrda	Extract results of a weighted redundancy analysis (wrda) or a cca0 object.
wrda	Performs a weighted redundancy analysis