Package index • dimensio

Analysis

ca(): Correspondence Analysis

mca(): Multiple Correspondence Analysis

pca(): Principal Components Analysis

pcoa(): Principal Coordinates Analysis

predict(<CA>) predict(<MCA>) predict(<PCA>): Predict New Coordinates

Results

export(): Export Results

get_contributions() get_correlations() get_cos2(): Get Contributions

get_coordinates() get_replications(): Get Coordinates

get_data(): Get Original Data

get_eigenvalues() get_variance() get_distances() get_inertia(): Get Eigenvalues

Resampling

bootstrap(<CA>) bootstrap(<PCA>): Partial Bootstrap Analysis

Visualization

biplot(<CA>) biplot(<PCA>): Biplot

plot(<PCOA>,<missing>): Plot Coordinates

screeplot(<MultivariateAnalysis>) screeplot(<PCOA>): Scree Plot

viz_contributions() viz_cos2(): Visualize Contributions and cos2

viz_individuals() viz_rows(): Visualize Individuals Factor Map

viz_variables() viz_columns(): Visualize Variables Factor Map

viz_confidence() wrap_confidence(): Confidence Ellipses

viz_ellipses(): Ellipses

viz_hull() wrap_hull(): Convex Hulls

viz_tolerance() wrap_tolerance(): Tolerance Ellipses

Summary

describe(<CA>) describe(<PCA>): Object Description

as.data.frame(<MultivariateSummary>) summary(<CA>) summary(<PCA>): Object Summaries

tidy() augment(): Tidy Coordinates

Getters and Setters

dim(<MultivariateAnalysis>) rownames(<MultivariateAnalysis>) colnames(<MultivariateAnalysis>) dimnames(<MultivariateAnalysis>): Dimnames of an Object

`[[`(<CA>,<ANY>,<missing>) `[[`(<PCA>,<ANY>,<missing>): Extract Parts of an Object

Tools

burt(): Burt Table

cdt(): Complete Disjunctive Table

Datasets

benthos: Benthos

colours: Colours

countries: Countries