generate_heatmap {MixLFA} | R Documentation |
This function generates a heatmap for visualizing the factor loadings from the MLFA model results.
generate_heatmap(res_MLFA, C)
res_MLFA |
a list containing the MLFA model parameters returned by the MLFA function. |
C |
an integer Class to display |
No return value. This function generates a heatmap plot of the factor loadings matrix.
# Load the necessary datasets
data(simulated_MLFA) # Load a simulated dataset based on the MLFA model
# Extract matrices from the list
# Extract matrix Y of outcomes of interest for the factor analysis model
Y <- simulated_MLFA$Y
# Extract matrix X of fixed effect covariates for describing the latent factors
X <- simulated_MLFA$X
# Extract matrix Z of random effect covariates for describing the latent factors
Z <- simulated_MLFA$Z
# Extract matrix id containing subject identifiers.
id <-simulated_MLFA$id
#' # Run the MLFA (Mixture of Longitudinal Factor Analyzers) function with:
# C: number of classes or clusters in our simulated data was set to 2.
# d: number of latent factors in our simulated data was set to 1.
# max_it: maximum number of iterations is set to 50 for a quick test.
# Estimation of the parameters of the MLFA model using the simulated data.
result_MLFA <- MLFA(C = 2, d = 2, X, Y, Z, id, max_it = 50, fixed_factor = c(1,6))
# Generate a heatmap of the factor loadings of the first cluster
generate_heatmap(result_MLFA,C=1)