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ex2_diri.R
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ex2_diri.R
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# Illustration of Dirichlet random variables
# Copyright (C) 2015, Tamara Broderick
# www.tamarabroderick.com
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# useful for sampling from the Dirichlet distribution
library(MCMCpack)
# maximum number of Dirichlet random vars to sample
maxiters = 1000
ex2_draw_diris <- function(K,a_scalar) {
# function ex2_draw_diris_diffa but with both parameters equal
ex2_draw_diris_diffa(rep(a_scalar,K))
}
ex2_draw_diris_diffa <- function(a_vector) {
# Samples and illustrates Dirichlet random variables.
#
# Args:
# a_vector: the Dirichlet parameters
#
# Returns:
# Nothing.
#
# For each press of "enter" samples a Dirichlet random var
# and illustrates it as a distribution over {1,2,...,K},
# where K is the length of the parameter vector.
# Press 'x' when finished making samples.
K = length(a_vector)
for(iter in 1:maxiters) {
# Dirichlet random variable sample
rho = rdirichlet(1,a_vector)
# put Dirichlet parameters in the plot title
a_vector_str = toString(a_vector)
plot(as.vector(rho),
type="h",
xlim=c(0,K+1),
ylim=c(0,1),
ylab="frequencies",
xlab="index",
xaxt='n',
col="red",
lwd=5,
main=bquote(rho~"~Dirichlet("~.(a_vector_str)
~")")
)
axis(1,
at=seq(0,K+1,by=1),
labels=c("",paste(1:K),"")
)
# Generate a new draw for each press of "enter"
# Press 'x' when finished
line <- readline()
if(line == "x") return('done');
}
}