TSplotly: 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.

Version: 1.1.1
Depends: R (≥ 3.4.0)
Imports: forecast, plotly, zoo, ggplot2, dcemriS4, prettydoc
Suggests: knitr, rmarkdown
Published: 2019-08-02
Author: Yongkai Qiu [aut, cre], Zhe Yin [aut], Ivo Dinov [aut], SOCR team [aut]
Maintainer: Yongkai Qiu <yongkai at umich.edu>
License: GPL-3
URL: http://socr.umich.edu/people/
NeedsCompilation: no
CRAN checks: TSplotly results

Downloads:

Reference manual: TSplotly.pdf
Vignettes: An Introduction to package TSplotly
Package source: TSplotly_1.1.1.tar.gz
Windows binaries: r-devel: TSplotly_1.1.1.zip, r-release: TSplotly_1.1.1.zip, r-oldrel: TSplotly_1.1.1.zip
OS X binaries: r-release: TSplotly_1.1.1.tgz, r-oldrel: TSplotly_1.1.1.tgz

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