clickstream (version 1.3.0)

fitMarkovChains: 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.

Examples

# NOT RUN {
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")

csf <- tempfile()
writeLines(training, csf)
trainingCLS <- readClickstreams(csf, header = TRUE)
unlink(csf)

csf <- tempfile()
writeLines(test, csf)
testCLS <- readClickstreams(csf, header = TRUE)
unlink(csf)

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