Create Interactive Plots on Time Series Dataset

To better visualize time-series dataset, 'TSplotly' package provides an effective mechanism to utilize the powerful 'plotly' package for graphing time series data. It contains 5 core functions: TSplot(): create interactive plot on time series data or fitted ARIMA(X) models. ADDline(): add lines on existing 'TSplot()' objects, as needed. GGtoPY(): create a convenient way to transform (reformat) 'ggplot2' datasets into a format that can work on 'plot_ly()'. GTSplot(): create multiple 'plot_ly()' lines (time-series) based on data frames containing multiple time-series data. TSplot_gen(): a more general version of function 'TSplot()' that can work on any time format.


Reference manual

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1.1.1 by Yongkai Qiu, a year ago

Browse source code at

Authors: Yongkai Qiu [aut, cre] , Zhe Yin [aut] , Ivo Dinov [aut] , SOCR team [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports forecast, plotly, zoo, ggplot2, dcemriS4, prettydoc

Suggests knitr, rmarkdown

See at CRAN