Rlda (version 0.2.6)

plot: plot method for rlda object

Description

Plot a rlda object. The plot function returns three plots based on Theta matrix, Phi matrix and log-likelihood.

Usage

# S3 method for rlda
plot(x, burnin=0.1, maxCluster=NA, ...)

Arguments

x

a rlda object created by rlda.binomial, rlda.bernoulli or rlda.multinomial function.

burnin

a percentual of burn-in observations must be a number between 0 and 1. The default value is burnin=0.1.

maxCluster

The maximum number of cluster to be shown. The default value is maxCluster=NA which represents all clusters must be shown.

...

other arguments may be useful.

See Also

rlda.binomial, rlda.bernoulli,rlda.multinomial

Examples

# NOT RUN {
#Load data
data(presence)
#Set seed
set.seed(9842)
#Hyperparameters for each prior distribution
gamma <-0.01
alpha0<-0.01
alpha1<-0.01
#Execute the LDA for the Binomial entry
res<-rlda.bernoulli(presence, 10, alpha0, alpha1, gamma,
                    5000, TRUE, FALSE)
#Plot the results
plot(res)
# }