plot.iClusterVB: Generic plot method for 'iClusterVB' objects

In iClusterVB: Fast Integrative Clustering and Feature Selection for High Dimensional Data

Generic plot method for 'iClusterVB' objects

Description

Generic plot method for 'iClusterVB' objects

Usage

## S3 method for class 'iClusterVB'
plot(x, ...)

Arguments

x	A fitted iClusterVB object.
...	Potential further arguments (unused)

Value

Returns an evidence lower bound (ELBO) plot and a barplot of cluster percentages.

Examples

# Setting up the data
dat1 <- list(
  gauss_1 = sim_data$continuous1_data[c(1:20, 61:80, 121:140, 181:200), 1:75],
  gauss_2 = sim_data$continuous2_data[c(1:20, 61:80, 121:140, 181:200), 1:75],
  poisson_1 = sim_data$count_data[c(1:20, 61:80, 121:140, 181:200), 1:75])


dist <- c(
  "gaussian", "gaussian",
  "poisson")

fit_iClusterVB <- iClusterVB(
  mydata = dat1,
  dist = dist,
  K = 4,
  initial_method = "VarSelLCM",
  VS_method = 1,
  max_iter = 25
)

plot(fit_iClusterVB)

iClusterVB documentation built on April 3, 2025, 6:22 p.m.