fviz_gda_trajectory: Visualization of trajectories (connected active and passive...

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

Visualization of trajectories (connected active and passive individual points).

Description

Visualization of trajectories (connected active and passive individual points).

Usage

fviz_gda_trajectory(
  res_gda,
  select = list(name = NULL, within_inertia = NULL, case = NULL),
  title = NULL,
  axes = 1:2,
  ind_labels = FALSE,
  time_point_names = NULL,
  plot_modif_rates = TRUE,
  axis_lab_name = "Achse",
  labels = NULL,
  legend_x = 0.12,
  legend_y = 0.9,
  axes_annotate_alpha = 0.3,
  xlim = NULL,
  ylim = NULL
)

Arguments

res_gda	MCA result (rownames have to be questionnaire IDs including time number, e.g. 87654_1).
select	vector of names, within_inertia of individuals selection (within_inertia: vector containing the number of high variation and low variationindividuals) or case (vector containing NULL, complete, or incomplete).
title	the plot title
axes	axes to plot.
ind_labels	plot labels (boolean).
time_point_names	vector containing the name of the time points.
plot_modif_rates	plot modified rates instead of eigenvalue percentage (boolean).
axis_lab_name	name of axis label.
labels	label axes (vector of length 4; left, right, top, bottom).
legend_x	x position of legend.
legend_y	y position of legend.
axes_annotate_alpha	alpha value of axes annotations.
xlim	x Axis limits (vector of length 2).
ylim	y Axis limits (vector of length 2).

Value

trajectory ggplot2 visualization.

inventionate/TimeSpaceAnalysis documentation built on June 13, 2025, 2:48 p.m.