fitMarkovChains: Generates a list of markov chains from a given set of...

In clickstream: Analyzes Clickstreams Based on Markov Chains

Generates a list of markov chains from a given set of clusters

Description

The purpose of this function is to generate pre-computed markov chain objects from clusters of clickstreams.

Usage

fitMarkovChains(clusters, order = 1)

Arguments

clusters	The clusters from which to generate markov chain objects.
order	The order for the markov chain.

Author(s)

Theo van Kraay [e-mail]

Examples

training <- c("User1,h,c,c,p,c,h,c,p,p,c,p,p,o",
              "User2,i,c,i,c,c,c,d",
              "User3,h,i,c,i,c,p,c,c,p,c,c,i,d",
              "User4,c,c,p,c,d")

test <- c("User1,h,c,c,p,p,h,c,p,p,c,p,p,o",
          "User2,i,c,i,c,c,c,d",
          "User4,c,c,c,c,d")

trainingCLS <- as.clickstreams(training, header = TRUE)
testCLS <- as.clickstreams(test, header = TRUE)

clusters <- clusterClickstreams(trainingCLS, centers = 2)
markovchains <- fitMarkovChains(clusters, order = 1)

clickstream documentation built on Sept. 27, 2023, 5:06 p.m.