markov_text: Generate a first-order Markov chain Shakespearean sonnet
In shill1729/markovChains: Simulation, estimation and modeling with Markov chains
markov_text R Documentation
Generate a first-order Markov chain Shakespearean sonnet
Description
The transition probability matrix is estimated from all 154 sonnets
Usage
markov_text(text_data, P = NULL, wordsPerLine = 10, numLines = 14)
Arguments
text_data
the object returned from observe_text(), a list containing wordChain, encodedChain, and stateSpace
P
the probability transition matrix, if not passed will be estimated from the sonnet_data dataset
wordsPerLine
the number of words per line
numLines
the number of lines
Value
string/character
shill1729/markovChains documentation built on April 24, 2022, 11:50 a.m.
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| markov_text | R Documentation |
Generate a first-order Markov chain Shakespearean sonnet
Description
The transition probability matrix is estimated from all 154 sonnets
Usage
markov_text(text_data, P = NULL, wordsPerLine = 10, numLines = 14)
Arguments
text_data |
the object returned from |
P |
the probability transition matrix, if not passed will be estimated from the |
wordsPerLine |
the number of words per line |
numLines |
the number of lines |
Value
string/character
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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