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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("TSplotly")

1.1.1 by Yongkai Qiu, 2 months ago


http://socr.umich.edu/people/


Browse source code at https://github.com/cran/TSplotly


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