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.