The ggfortify package provides a unified interface that enables users to use one line of code to visualize statistical results of many R packages using ggplot2 idioms. With the help of ggfortify, statisticians, data scientists, and researchers can avoid the sometimes repetitive work of using the ggplot2 syntax to achieve what they need.
lattice, ggplot2, ggfortify, cluster, lfda, zoo, xts, timeSeries, forecast, changepoint, strucchange, dlm, dplyr, tidyr, gridExtra, scales
TimeSeries, Finance, Econometrics, Environmetrics, Graphics, Multivariate, Bayesian, Cluster, Pharmacokinetics, Phylogenetics, SpatioTemporal
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For attribution, please cite this work as
Tang, et al., "The R Journal: ggfortify: Unified Interface to Visualize Statistical Results of Popular R Packages", The R Journal, 2016
BibTeX citation
@article{RJ-2016-060,
author = {Tang, Yuan and Horikoshi, Masaaki and Li, Wenxuan},
title = {The R Journal: ggfortify: Unified Interface to Visualize Statistical Results of Popular R Packages},
journal = {The R Journal},
year = {2016},
note = {https://doi.org/10.32614/RJ-2016-060},
doi = {10.32614/RJ-2016-060},
volume = {8},
issue = {2},
issn = {2073-4859},
pages = {474-485}
}