timelinePlot: Timeline Plot
In nstrayer/timelinePlot: Draws a plot for visualizing time to event data

Description Usage Arguments Examples

View source: R/timeline_plot.R

Takes in wide format

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timelinePlot(d, event_vars, event_labels = NULL, time_interval = "days",
  max_time = NULL, interval_width = NULL, greyscale = F,
  custom_xbreaks = NULL, custom_xlabs = NULL)

`d`	Data for events. Data should be formatted such that rows represent different participants and columns are different variables. There must be a column named "id" that contains a unique identifier for each study participant.
`event_vars`	Title of columns containing event timing data to be represented in the figure inputted as a vector. Variables describing event timing data should be formatted as the number of days between study event and time zero on the graph.
`event_labels`	Vector of the labels for the event data in legend. Must be in same order as event_vars. Defaults to event_vars.
`time_interval`	Units for time as seen on the x-axis. Options are "days", "weeks", "years". Default is set to days.
`max_time`	Maximum time plotted. If not specified defaults to maximum seen event time.
`interval_width`	Width of rolling interval for sliding histogram in number of days (even though interval_width is specified in days, it will be reported in whatever units are used for time_interval).
`greyscale`	Plot the figure in greyscale
`custom_xbreaks`	Allows for the additional of customizable breaks on the x-axis. Should be in units specified in "time_interval" (default unit is days). Input as a vector.
`custom_xlabs`	Allows for customizable labels for custom_xbreaks, must match custom_xbreaks in vector length length.

timelinePlot(data, event_vars=c("days_to_FU1", "days_to_FU2",
  "days_to_disease", "days_to_death"),
  event_labels = c("Follow-Up 1", "Follow-Up 2", "Disease 	Diagnosis", "Death"),
  time_interval = "weeks", interval_width=28,
  custom_xbreaks = c(0, 52, 104, 156, 208, 260),
      custom_xlabs = c("Enrollment", "", "104","", "208", ""))