ts_event_analysis_plot: Time Series Event Analysis Plot

In spsanderson/healthyR.ts: The Time Series Modeling Companion to 'healthyR'

Time Series Event Analysis Plot

Description

Plot out the data from the ts_time_event_analysis_tbl() function.

Usage

ts_event_analysis_plot(
  .data,
  .plot_type = "mean",
  .plot_ci = TRUE,
  .interactive = FALSE
)

Arguments

.data	The data that comes from the ts_time_event_analysis_tbl()
.plot_type	The default is "mean" which will show the mean event change of the output from the analysis tibble. The possible values for this are: mean, median, and individual.
.plot_ci	The default is TRUE. This will only work if you choose one of the aggregate plots of either "mean" or "median"
.interactive	The default is FALSE. TRUE will return a plotly plot.

Details

This function will take in data strictly from the ts_time_event_analysis_tbl() and plot out the data. You can choose what type of plot you want in the parameter of .plot_type. This will give you a choice of "mean", "median", and "individual".

You can also plot the upper and lower confidence intervals if you choose one of the aggregate plots ("mean"/"median").

Value

A ggplot2 object

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Plot: ts_brownian_motion_plot(), ts_qq_plot(), ts_scedacity_scatter_plot()

Examples

library(dplyr)
df <- ts_to_tbl(AirPassengers) %>% select(-index)

ts_time_event_analysis_tbl(
  .data = df,
  .horizon = 6,
  .date_col = date_col,
  .value_col = value,
  .direction = "both"
) %>%
  ts_event_analysis_plot()

ts_time_event_analysis_tbl(
  .data = df,
  .horizon = 6,
  .date_col = date_col,
  .value_col = value,
  .direction = "both"
) %>%
  ts_event_analysis_plot(.plot_type = "individual")

spsanderson/healthyR.ts documentation built on Jan. 19, 2024, 10:02 p.m.