Time Series Value, Velocity and Acceleration Plot

This function will produce three plots faceted on a single graph. The three graphs are the following:

Value Plot (Actual values)
Value Velocity Plot
Value Acceleration Plot

Usage

ts_vva_plot(.data, .date_col, .value_col)

Arguments

.data: The data you want to visualize. This should be pre-processed and the aggregation should match the .frequency argument.
.date_col: The data column from the .data argument.
.value_col: The value column from the .data argument

Value

The original time series augmented with the differenced data, a static plot and a plotly plot of the ggplot object. The output is a list that gets returned invisibly.

Details

This function expects to take in a data.frame/tibble. It will return a list object that contains the augmented data along with a static plot and an interactive plotly plot. It is important that the data be prepared and have at minimum a date column and the value column as they need to be supplied to the function. If your data is a ts, xts, zoo or mts then use ts_to_tbl() to convert it to a tibble.

Author

Steven P. Sanderson II, MPH

Examples

suppressPackageStartupMessages(library(dplyr))

data_tbl <- ts_to_tbl(AirPassengers) %>%
  select(-index)

ts_vva_plot(data_tbl, date_col, value)$plots$static_plot
#> Warning: Removed 3 rows containing missing values (`geom_line()`).