Package index • ggfortify

All functions

apply_facets(): Apply facets to to ggplot2::ggplot
apply_grid(): Apply grid to to ggplot2::ggplot
as_tibble(<basis>): Convert a spline basis to a tibble
autoplot(<MSM.lm>): Autoplot MSwM::MSM.lm
autoplot(<RasterCommon>): Autoplot raster::raster
autoplot(<SpatialCommon>): Autoplot maps::map
autoplot(<aareg>): Autoplot survival::aareg
autoplot(<acf>): Autoplot stats::acf. Note to pass `plot = FALSE` to original function to suppress standard plot output
autoplot(<basis>): Autoplot spline basis instances
autoplot(<breakpoints>): Autoplot strucchange::breakpoints
autoplot(<cpt>): Autoplot changepoint::cpt
autoplot(<cv.glmnet>): Autoplot glmnet::cv.glmnet
autoplot(<density>): Autoplot stats::density
autoplot(<forecast>): Autoplot forecast::forecast
autoplot(<ggmultiplot>): Autoplot ggmultiplot instances. It returns the passed instance as it is.
autoplot(<ggplot>): Autoplot ggplot instances. It returns the passed instance as it is.
autoplot(<glmnet>): Autoplot glmnet::glmnet
autoplot(<kmeans>): Autoplot cluster instances
autoplot(<list>): Autoplot list
autoplot(<lm>): Autoplot stats::lm and stats::glm
autoplot(<map>): Autoplot maps::map
autoplot(<matrix>): Plot base::matrix
autoplot(<pca_common>): Autoplot PCA-likes
autoplot(<performance>): Autoplot ROCR::performance
autoplot(<silhouette>): Autoplot silhouette instances
autoplot(<spec>): Autoplot stats::spec
autoplot(<stepfun>): Plot stats::stepfun
autoplot(<survfit>): Autoplot survival::survfit
autoplot(<ts>): Autoplot time-series-like
autoplot(<tsmodel>): Autoplot time series models (like AR, ARIMA)
autoplot(<varprd>): Autoplot vars::varprd
cbind_wraps(): Wrapper for cbind
check_names(): Check data names are equal with expected
confint(<acf>): Calculate confidence interval for stats::acf
deprecate.warning(): Show deprecate warning
fitted(<ar>): Calculate fitted values for stats::ar
flatten(): Flatten dataframe contains matrix
fortify(<MSM.lm>): Convert MSwM::MSM.lm to data.frame
fortify(<RasterCommon>): Convert raster to data.frame
fortify(<SpatialCommon>): Convert sp instances to data.frame.
fortify(<aareg>): Convert survival::aareg to data.frame
fortify(<acf>): Convert stats::acf to data.frame
fortify(<basis>): Convert spline basis instances to data.frame
fortify(<cpt>): Convert changepoint::cpt and strucchange::breakpoints to data.frame
fortify(<cv.glmnet>): Convert glmnet::cv.glmnet to data.frame
fortify(<density>): Convert stats::density to data.frame
fortify(<dist>): Convert stats::dist to data.frame
fortify(<ets>): Convert forecast::bats and forecast::ets to data.frame
fortify(<factanal>): Convert stats::factanal to data.frame
fortify(<forecast>): Convert forecast::forecast to data.frame
fortify(<glmnet>): Convert glmnet::glmnet to data.frame
fortify(<kmeans>): Convert cluster instances to data.frame
fortify(<lfda>): Convert lfda::lfda or lfda::klfda or lfda::self to data.frame
fortify(<list>): Convert list to data.frame
fortify(<matrix>): Convert base::matrix to data.frame
fortify(<performance>): Convert ROCR::performance objects to data.frame
fortify(<prcomp>): Convert stats::prcomp, stats::princomp to data.frame
fortify(<silhouette>): Convert cluster::silhouette to data.frame
fortify(<spec>): Convert stats::spec to data.frame
fortify(<stepfun>): Convert stats::stepfun to data.frame
fortify(<survfit>): Convert survival::survfit to data.frame
fortify(<table>): Convert base::table to data.frame
fortify(<ts>): Convert time-series-like to data.frame
fortify(<tsmodel>): Convert time series models (like AR, ARIMA) to data.frame
fortify(<varprd>): Convert vars::varprd to data.frame
fortify_base(): Convert base::table to data.frame
fortify_map(): Convert maps::map to data.frame.
geom_confint(): Connect observations by stairs.
geom_factory(): Factory function to control ggplot2::geom_xxx functions
get.dtindex(): Convert ts index to Date vector
get.dtindex.continuous(): Get Date vector continue to ts index
get.layout(): Calcurate layout matrix for ggmultiplot
get_geom_function(): Factory function to control ggplot2::geom_xxx functions
ggbiplot(): Draw biplot using ggplot2.
ggcpgram(): Plots a cumulative periodogram
ggdistribution(): Plot distribution
ggfortify-package ggfortify: ggfortify
ggfreqplot(): Plot seasonal subseries of time series, generalization of stats::monthplot
length(<ggmultiplot>) `[`(<ggmultiplot>,<ANY>,<ANY>,<ANY>) `[[`(<ggmultiplot>) `[<-`(<ggmultiplot>,<ANY>,<ANY>,<ANY>) `[[<-`(<ggmultiplot>): An S4 class to hold multiple ggplot2::ggplot instances
ggtsdiag(): Plots time-series diagnostics
grid.draw(<ggmultiplot>): The implemented grid.draw method for ggmultiplot, in order to work with ggsave() properly
infer(): Infer class name
is.univariate(): Check if Validates number of ts variates
is_derived_from(): Check object is target class, or object is data.frame fortified from target.
plot_confint(): Attach confidence interval to ggplot2::ggplot
plot_label(): Attach label to ggplot2::ggplot
`+`(<ggmultiplot>,<ANY>): Generic add operator for ggmultiplot
post_autoplot(): Post process for fortify. Based on ggplot2::qplot
post_fortify(): Post process for fortify.
print(<ggmultiplot>): Generic print function for ggmultiplot
rbind_ts(): Rbind original and predicted time-series-like instances as fortified data.frame
residuals(<ar>): Calculate residuals for stats::ar
show(<ggmultiplot>): Generic show function for ggmultiplot
support_autoplot(): Check if passed object is supported by ggplot2::autoplot
unscale(): Backtransform scale-ed object