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ggtime

Lifecycle: experimental CRAN status 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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.