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Description

Grammar of Graphics and Plot Helpers for Time Series Visualization.

Extends the capabilities of 'ggplot2' by providing grammatical elements and plot helpers designed for visualizing temporal patterns. The package implements a grammar of temporal graphics, which leverages calendar structures to highlight changes over time. The package also provides plot helper functions to quickly produce commonly used time series graphics, including time plots, season plots, and seasonal sub-series plots.

ggtime

Lifecycle:experimental CRANstatus R-CMD-check

The ggtime package extends the capabilities of ‘ggplot2’ by providing grammatical elements and plot helpers designed for visualizing time series patterns. These functions use calendar structures implemented in the mixtime package to help explore common time series patterns including trend, seasonality, cycles, and holidays.

The plot helper functions make use of the tsibble data format in order to quickly and easily produce common time series plots. These plots can also be constructed with the underlying grammar elements, which allows greater flexibility in producing custom time series visualisations.

Installation

You can install the stable version from CRAN:

install.packages("ggtime")

You can install the development version of ggtime from GitHub with:

# install.packages("remotes")
remotes::install_github("tidyverts/ggtime")

Example

The simplest time series visualisation is the time plot, which can be created with the autoplot() plot helper function on a tsibble object.

library(ggtime)
library(tsibble)
library(ggplot2)
tsibbledata::aus_production %>% 
  autoplot(Bricks)

To view the shape of the annual seasonal pattern, a seasonal plot created with gg_season() is commonly used. This makes it easier to identify the peaks, troughts, and overall shape of the seasonality.

tsibbledata::aus_production %>% 
  gg_season(Bricks)
Metadata

Version

0.1.0

License

Unknown

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