plot#

This page gives an overview of all public discrimintools plotting functions.

CANDISC#

`fviz_candisc`(obj[, element])	Visualize Canonical Discriminant Analysis (CANDISC)
`fviz_candisc_biplot`(obj[, axis, geom_ind, ...])	Visualize Canonical Discriminant Analysis (CANDISC) - Biplot of individuals and variables
`fviz_candisc_ind`(obj[, axis, geom_ind, ...])	Visualize Canonical Discriminant Analysis (CANDISC) - Graph of individuals
`fviz_candisc_var`(obj[, axis, geom, repel, ...])	Visualize Canonical Discriminant Analysis (CANDISC) - Graph of variables

`fviz_dica`(obj[, element])	Visualize Discriminant Correspondence Analysis (DiCA)
`fviz_dica_biplot`(obj[, axis, geom_ind, ...])	Visualize Discriminant Correspondence Analysis (DiCA) - Biplot of individuals and variables
`fviz_dica_ind`(obj[, axis, geom_ind, repel, ...])	Visualize Discriminant Correspondence Analysis (DiCA) - Graph of individuals
`fviz_dica_quali_var`(obj[, axis, geom_var, ...])	Visualize Discriminant Correspondence Analysis (DiCA) - Graph of qualitative variables
`fviz_dica_var`(obj[, axis, geom_var, repel, ...])	Visualize Discriminant Correspondence Analysis (DiCA) - Graph of variables/categories

fviz_dist(obj[, axis, geom, repel, ...])

Visualize distance between barycenter

`fviz_plsr`(obj[, element])	Visualize Partial Least Squares Regression (CPLS, PLSDA, PLSLDA, PLSLOGIT)
`fviz_plsr_ind`(obj[, axis, geom_ind, repel, ...])	Visualize Partial Least Squares Regression - Graph of individuals
`fviz_plsr_var`(obj[, axis, geom, repel, ...])	Visualize Partial Least Squares Regression - Graph of variables

`add_scatter`(p, data[, axis, geom, repel, ...])	Add elements points and/or texts to plotnine graph
`fviz_circle`(p[, r, x0, y0, color])	Add a circle with plotnine
`overlap_coord`(coord, x_name, y_name, repel)	Overlap text position for segment
`set_axis`(p[, x_lim, y_lim, x_label, ...])	Set axis to plotnine graph