Generate Cycle-Specific Plots and Summary Data for a Given ID — cycle_plot

This function creates cycle-specific plots and summary statistics for a specified individual (id), storing both in a named list for easy access.

Usage

cycle_plot_individual(
  data,
  id,
  symptoms,
  centering = "menses",
  y_scale = "person-centered",
  include_impute = TRUE,
  rollingavg = 5
)

Arguments

data: A dataframe containing menstrual cycle data, including id and cyclenum columns.
id: Numeric id number for the specific individual for whom cycle plots should be generated.
symptoms: A vector of strings specifying the symptom variable to analyze that exist in data.
centering: A string indicating the centering phase of the cycle ("menses" or "ovulation").
y_scale: A string specifying the y-axis scale ("person-centered", "person-centered_roll", "raw", or "roll").
include_impute: A boolean indicating whether to use imputed cycle time values.
rollingavg: A numeric indicating how many days of a rolling average to use, the default is 5

Value

A list where each cycle contains:

$plot: The cycle-specific ggplot object with the ID displayed
$summary: The corresponding summary data

Examples

cycle_df = cycledata

data_with_scaling <- pacts_scaling(
  cycle_df, 
  id = id, 
  date = daterated, 
  menses = menses, 
  ovtoday = ovtoday, 
  lower_cyclength_bound = 21, 
  upper_cyclength_bound = 35
)
#> id: id
#> date: date
#> menses: menses
#> ovtoday: ovtoday