Creates a publication-ready plot of estimated growth trajectories for each latent class with optional confidence intervals.
Usage
plot_trajectories(
object,
include_ci = TRUE,
weighted = TRUE,
alpha = 0.2,
colors = NULL,
title = NULL,
xlab = "Time",
ylab = "Outcome",
legend_position = "right",
...
)Arguments
- object
A
SurveyMixrobject fromgmm_survey()- include_ci
Logical, include confidence intervals? (default: TRUE)
- weighted
Logical, use weighted class proportions for subtitle? (default: TRUE)
- alpha
Transparency level for confidence bands (default: 0.2)
- colors
Optional vector of colors for classes (default: Color Brewer)
- title
Optional plot title
- xlab
X-axis label (default: "Time")
- ylab
Y-axis label (default: "Outcome")
- legend_position
Position of legend (default: "right")
- ...
Additional arguments (not currently used)
Examples
if (FALSE) { # \dontrun{
fit <- gmm_survey(data = mcs_simulated, id = "id", time = "age",
outcome = "selfcontrol", n_classes = 3)
plot_trajectories(fit)
} # }