install.packages('ggfortify')strucchange::breakpointsstats::lm and stats::glmvars::varprdstats::acfsurvival::aaregstats::acf. Note to pass `plot = FALSE` to original function to suppress
standard plot outputforecast::bats and forecast::ets to data.framechangepoint::cptglmnet::cv.glmnetraster::rastermaps::mapggmultiplot instances.
It returns the passed instance as it is.ggplot instances.
It returns the passed instance as it is.maps::mapstats::factanal to data.framebase::matrixstats::specstats::stepfunggplot2::ggplotsp instances to data.frame.ggplot2::ggplotbase::matrix to data.framesurvival::aareg to data.frameforecast::forecast to data.frameggplot2::geom_xxx functionsts index to Date vectorstats::densityMSwM::MSM.lmglmnet::glmnetstats::acf to data.frameglmnet::glmnet to data.framedata.framedata.framelfda::lfda or lfda::klfda or lfda::self to data.framestats::monthplotstats::spec to data.framesurvival::survfitROCR::performanceforecast::forecastdata.framestats::stepfun to data.frameDate vector continue to ts indexggmultiplotMSwM::MSM.lm to data.frameggmultiplotmaps::map to data.frame.stats::arscale-ed objectggplot2::ggplot instancesggplot2::qplotggmultiplotdata.frame fortified from target.ts variatesstats::arggplot2::autoplotraster to data.framestats::density to data.framechangepoint::cpt and strucchange::breakpoints to data.framestats::dist to data.frameglmnet::cv.glmnet to data.frameROCR::performance objects to data.framesurvival::survfit to data.framestats::prcomp, stats::princomp to data.framevars::varprd to data.framebase::table to data.framebase::table to data.frameggplot2::geom_xxx functionsdata.framebiplot using ggplot2.ggplot2::ggplotggplot2::ggplotggmultiplot