Note: This package has been maintained by @terrytangyuan <https://github.com/terrytangyuan>_ since 2015. Please consider sponsoring <https://github.com/sponsors/terrytangyuan>_!

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ggfortify

This package offers fortify and autoplot functions to allow automatic ggplot2 to visualize statistical result of popular R packages. Check out our R Journal paper <https://journal.r-project.org/archive/2016-2/tang-horikoshi-li.pdf>_ for more details on the overall architecture design and a gallery of visualizations created with this package. Also check out autoplotly package <https://github.com/terrytangyuan/autoplotly>_ that could automatically generate interactive visualizations with plotly.js <https://plot.ly/>_ style based on ggfortify. The generated visualizations can also be easily extended using ggplot2 syntax while staying interactive.

Installation

• Install the latest stable release from CRAN: ::

  install.packages('ggfortify')

• Install the development version from Github: ::

  if (!require("remotes")) install.packages("remotes") remotes::install_github('sinhrks/ggfortify')

Examples

• Concepts and Basics of ggfortify <https://cran.r-project.org/web/packages/ggfortify/vignettes/basics.html>_
• Plotting Diagnostics for LM and GLM with ggplot2 and ggfortify <https://cran.r-project.org/web/packages/ggfortify/vignettes/plot_lm.html>_
• Plotting Time Series with ggplot2 and ggfortify <https://cran.r-project.org/web/packages/ggfortify/vignettes/plot_ts.html>_
• Plotting PCA, clustering, LFDA and MDS <https://cran.r-project.org/web/packages/ggfortify/vignettes/plot_pca.html>_
• Plotting Survival Curves using ggplot2 and ggfortify <https://cran.r-project.org/web/packages/ggfortify/vignettes/plot_surv.html>_
• Plotting Probability Distributions with ggplot2 and ggfortify <https://cran.r-project.org/web/packages/ggfortify/vignettes/plot_dist.html>_
• Automatic Generation of Interactive Visualizations in ggplot2 and plotly Styles <https://terrytangyuan.github.io/2018/02/12/autoplotly-intro/>_
• 一行R代码实现繁琐的可视化 <http://terrytangyuan.github.io/2015/11/24/ggfortify-intro/>_

Reference/Citation

To cite ggfortify in publications, please use (available via citation("ggfortify")):

Yuan Tang, Masaaki Horikoshi, and Wenxuan Li (2016). ggfortify: Unified Interface to Visualize Statistical Result of Popular R Packages. The R Journal, 8.2, 478-489.

Masaaki Horikoshi and Yuan Tang (2016). ggfortify: Data Visualization Tools for Statistical Analysis Results. https://CRAN.R-project.org/package=ggfortify

Coverage

This covers following classes:

• base::matrix
• base::table (supports fortify only)
• cluster::clara
• cluster::fanny
• cluster::pam
• cluster::silhouette
• changepoint::cpt
• fGarch::fGARCH
• forecast::bats
• forecast::forecast
• forecast::ets
• forecast::nnetar
• fracdiff::fracdiff
• glmnet::cv.glmnet
• glmnet::glmnet
• KFAS::KFS
• KFAS::signal (inference)
• lfda::lfda
• lfda::klfda
• lfda::self
• maps::map
• MASS::isoMDS (inference)
• MASS::sammon (inference)
• raster::RasterBrick
• raster::RasterCommon
• raster::RasterLayer
• raster::RasterStack
• ROCR::performance
• sp::Line
• sp::Lines
• sp::Polygon
• sp::Polygons
• sp::SpatialLines
• sp::SpatialLinesDataFrame
• sp::SpatialPoints
• sp::SpatialPointsDataFrame
• sp::SpatialPolygons
• sp::SpatialPolygonsDataFrame
• splines::basis
• stats::acf
• stats::ar
• stats::Arima
• stats::cmdscale (inference)
• stats::decomposed.ts
• stats::density
• stats::factanal
• stats::glm
• stats::HoltWinters
• stats::kmeans
• stats::lm
• stats::prcomp
• stats::princomp
• stats::spec
• stats::stepfun
• stats::stl
• stats::ts
• survival::survfit
• survival::survfit.cox
• survival::survfitms
• strucchange::breakpoints
• strucchange::breakpointsfull
• timeSeries::timeSeries
• tseries::irts
• vars::varprd
• xts::xts
• zoo::zooreg

Helper Functions

• ggdistribution to plot PDF/CDF
• ggcpgram to plot cpgram
• ggtsdiag to plot tsdiag
• ggfreqplot to generalize monthplot

ggplot2 Families

There are some useful plotting packages using ggplot2. ggfortify will not focus on area already covered by these packages.

• GGally <http://cran.r-project.org/web/packages/GGally/index.html>_
• dendextend:ggdend <http://cran.r-project.org/web/packages/dendextend/index.html>_
• ggRandomForests <http://cran.r-project.org/web/packages/ggRandomForests/>_
• ggmcmc <http://cran.r-project.org/web/packages/ggmcmc/index.html>_