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 for more details on the overall architecture design and a gallery of visualizations created with this package. Also check out autoplotly package that could automatically generate interactive visualizations with plotly.js style based on ggfortify
. The generated visualizations can also be easily extended using ggplot2
syntax while staying interactive.
Note: For functions which returns list
, ggfortify
tries to infer a background class using its attribute names. Such functions are marked as "(inference)".
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')
- Concepts and Basics of ggfortify
- Plotting Diagnostics for LM and GLM with ggplot2 and ggfortify
- Plotting Time Series with ggplot2 and ggfortify
- Plotting PCA, clustering, LFDA and MDS
- Plotting Survival Curves using ggplot2 and ggfortify
- Plotting Probability Distributions with ggplot2 and ggfortify
- Automatic Generation of Interactive Visualizations in ggplot2 and plotly Styles
- 一行R代码实现繁琐的可视化
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
This covers following classes:
base::matrix
base::table
(supportsfortify
only)cluster::clara
cluster::fanny
cluster::pam
cluster::silhouette
changepoint::cpt
dlm::dlmFilter
dlm::dlmSmooth
(inference)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
ggdistribution
to plot PDF/CDFggcpgram
to plotcpgram
ggtsdiag
to plottsdiag
ggfreqplot
to generalizemonthplot
There are some useful plotting packages using ggplot2. ggfortify
will not focus on area already covered by these packages.