Create a Markov model dataset for use in estimating Markov models

Create a Markov model dataset for use in estimating Markov models

Usage

createMarkovModelDataset(x, ...)

# Default S3 method
createMarkovModelDataset(
  x,
  colCur,
  colPrev = x,
  prefixPrev = "prev",
  prefixCur = "cur",
  ...
)

# S3 method for class 'data.frame'
createMarkovModelDataset(x, colPrev, colCur, ...)

Arguments

x

The object to create a Markov dataset within

...

Passed to methods

colPrev, colCur

Column names in the dataset for the previous and current states (may be any R object that can be coerced to a character string, ordered objects are usually preferred)

prefixPrev, prefixCur

Column name prefixes for the previous and current states

Value

The data.frame modified by adding one-hot columns for the previous and current states

The data.frame modified by adding one-hot columns for the previous and current states

Methods (by class)

• createMarkovModelDataset(default): Create a Markov dataset from a pair of vectors

• createMarkovModelDataset(data.frame): Create a Markov dataset from a data.frame

See also

Other Markov models: createMarkovModel(), createMarkovModelFromSingleState(), createMarkovTransitionMatrix(), simMarkov(), simMarkovId()

Examples

createMarkovModelDataset(c(1, 2, 1), colCur = c(1, 2, 3))
#>   prevX1 curX1 prevX2 curX2 prevX3 curX3
#> 1   TRUE  TRUE  FALSE FALSE  FALSE FALSE
#> 2  FALSE FALSE   TRUE  TRUE  FALSE FALSE
#> 3   TRUE FALSE  FALSE FALSE  FALSE  TRUE