Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
label.show.legend
argument to hide/show the legend of text labels.ggmultiplot
arranges a single ggplot
instance with layout that can now be specified by the user.cv.glmnet
objects.scales::percent
for ggdistribution
.autoplot.lm()
for character variables, thanks to @lselzer.forecast::ets()
to be compatible with newer version of forecast
package, thanks to @robjhyndman.autoplot.survfit()
, thanks to @jonathon-love.gglagplot
in favor of forecast::gglagplot
.survival::survfitms
, thanks to @yoursdearboy.xts
and timeSeries
objects. We will try fix them in the next release.ROCR::performance
, thanks to @austin3dickeycitation("ggfortify")
for more info.splines::basis
.raster
ojects, such as RasterBrick
, RasterCommon
, RasterLayer
,
and RasterStack
.ggmultiplot
objects can now be saved correctly via ggplot2::ggsave()
.prcomp
and princomp
are now scaled. Scaling can be disabled by
specifying scale = 0
.autoplot.t
now supports stacked option.maps
and sp
packages.ggrepel
.ggbiplot
.forecast
, dplyr
, tidyr
, etc.glmnet
.multiplots
from a list of classes supported by autoplot.ggmultiplot
extraction getter / setter.ggmultiplot
arithmetics.