plot_timeseries: Plot a timeseries of Hyfe counts.
In hyfe-ai/hyfer: R Utilities for Interacting with Hyfe Data

Plot a timeseries of Hyfe counts.

plot_timeseries(
  ho,
  type = c("coughs", "sounds", "sessions"),
  unit = c("days", "hours", "weeks"),
  date_min = NULL,
  date_max = NULL,
  by_user = FALSE,
  running_mean = NULL,
  print_plot = TRUE,
  return_plot = FALSE,
  return_data = FALSE
)

`ho`	A `hyfe` object, which is generated by `process_hyfe_data()`. See full details and examples in the package vignette.
`type`	The variable to plot.
`date_min`	Optionally filter the data to a minimum date. Provide as a character vector of length one, with the format `"YYYY-MM-DD HH:MM:SS"`.
`date_max`	Optionally filter to a date maximum. Same format as `date_min` above.
`by_user`	If `FALSE` (the default), a single line will be plotted that pools all users together. If `TRUE`, a line will be plotted for each user separately. Note that this is only possible if the call to `process_hyfe_data()` that created the `hyfe` object used the argument `by_user=TRUE`.
`running_mean`	If you wish to add a running mean, provide a binning window here in the units chosen. This will only work if you are not plotting `by_yser`. If `NULL`, no running mean will be plotted. For example, when `time_unit = hours` and `running_mean = 24`, the running mean will average the y variable for a 24-hour period, stepping forward one hour at a time.
`print_plot`	If `TRUE` (the default), the plot will be printed for you.
`return_plot`	If `TRUE` (not the default), the `ggplot` plot object will be returned. This can be useful if you want to modify/add to the plot (e.g., change axis titles, add a plot title, etc.).
`return_data`	If `TRUE` (not the default), a simple dataframe will be returned that provides you with the exact values used to produce the plot.
`time_unit`	The time unit by which to plot it.