fviz_gda_quali_ellipses: Title
In inventionate/TimeSpaceAnalysis: Statistical tools for time-space analysis

View source: R/fviz-gda-quali-ellipses.R

Title

fviz_gda_quali_ellipses(res_gda, df_var_quali, var_quali,
  title = "MCA quali var ellipses", facet = TRUE, alpha_point = 0.75,
  conc_linetype = "solid", conf_linetype = "solid",
  scale_mean_points = TRUE, axes = 1:2, palette = "Set1", myriad = TRUE,
  impute = TRUE, concentration_ellipses = TRUE,
  confidence_ellipses = FALSE, conf_colour = FALSE,
  plot_modif_rates = TRUE, ncol = 3, individuals = TRUE, impute_ncp = 2,
  relevel = NULL, alpha_ellipses = 0.15, plot_eta2 = TRUE,
  axis_lab_name = "Achse", show_prop = FALSE)

`res_gda`	GDA (MCA, MFA) result (rownames have to be individual questionnaire IDs).
`df_var_quali`	data frame of one quali variable.
`var_quali`	name if quali variable.
`title`	plot title.
`facet`	whether facet ellipses or not (boolean).
`alpha_point`	opacity of individual points.
`conc_linetype`	linetype of concentration ellipses.
`conf_linetype`	linetype of confidence ellipses.
`scale_mean_points`	scale mean point size in respect of the group size (boolean).
`axes`	the GDA dimensions to plot.
`palette`	Colour brewer scale.
`myriad`	use Myriad Pro font family (boolean).
`impute`	impute missing data (boolean).
`concentration_ellipses`	plot concentration ellipse (boolean).
`confidence_ellipses`	plot confidence ellipses (boolean).
`conf_colour`	colour confidence ellipses (boolean).
`plot_modif_rates`	plot modified rates instead of eigenvalue percentage (boolean).
`ncol`	Number of facet columns.
`individuals`	show individual points (boolean).
`impute_ncp`	number of dimensions to predict missing values.
`relevel`	character vector containing new level order.
`alpha_ellipses`	concentration ellipses fill alpha.
`plot_eta2`	plot eta2 value per axis (boolean).
`axis_lab_name`	name of axis label.
`show_prop`	show prop label as mean point (boolean).