timeseries_plot: Plot timeseries of observations
In simonecollier/lizardHMM: Fitting Lizard Movement Data with HMMs

View source: R/timeseries_histogram_plotting.R

Plot timeseries of observations

timeseries_plot(
  x,
  states,
  num_subjects,
  num_variables,
  variable_names = c("Var 1", "Var 2", "Var 3"),
  subject_names = c("Subject 1", "Subject 2", "Subject 3", "Subject 4"),
  xaxis = list(list(c(1, 900))),
  yaxis = NULL
)

`x`	The data to be fit with an HMM in the form of a 3D array. The first index (row) corresponds to time, the second (column) to the variable number, and the third (matrix number) to the subject number.
`states`	A matrix with the columns containing the sequence of states that generated the data in `x` for the given subject.
`num_subjects`	The number of subjects/trials that generated the data.
`num_variables`	The number of variables in the data.
`variable_names`	A vector containing the names of the variables in the data `x`.
`subject_names`	A vector containing the names of the subjects generating the data `x`.
`xaxis`	A list containing a list for each subject containing vectors for each variable of the desired minimum and maximum x-axis value.
`yaxis`	A list containing a list for each subject containing vectors for each variable of the desired minimum and maximum y-axis value.