install.packages('ggfortify')
strucchange::breakpoints
stats::lm
and stats::glm
vars::varprd
stats::acf
survival::aareg
stats::acf
. Note to pass `plot = FALSE` to original function to suppress
standard plot outputforecast::bats
and forecast::ets
to data.frame
changepoint::cpt
glmnet::cv.glmnet
raster::raster
maps::map
ggmultiplot
instances.
It returns the passed instance as it is.ggplot
instances.
It returns the passed instance as it is.maps::map
stats::factanal
to data.frame
base::matrix
stats::spec
stats::stepfun
ggplot2::ggplot
sp
instances to data.frame
.ggplot2::ggplot
base::matrix
to data.frame
survival::aareg
to data.frame
forecast::forecast
to data.frame
ggplot2::geom_xxx
functionsts
index to Date
vector
stats::density
MSwM::MSM.lm
glmnet::glmnet
stats::acf
to data.frame
glmnet::glmnet
to data.frame
data.frame
data.frame
lfda::lfda
or lfda::klfda
or lfda::self
to data.frame
stats::monthplot
stats::spec
to data.frame
survival::survfit
ROCR::performance
forecast::forecast
data.frame
stats::stepfun
to data.frame
Date
vector
continue to ts
indexggmultiplot
MSwM::MSM.lm
to data.frame
ggmultiplot
maps::map
to data.frame
.stats::ar
scale
-ed objectggplot2::ggplot
instancesggplot2::qplot
ggmultiplot
data.frame
fortified from target.ts
variatesstats::ar
ggplot2::autoplot
raster
to data.frame
stats::density
to data.frame
changepoint::cpt
and strucchange::breakpoints
to data.frame
stats::dist
to data.frame
glmnet::cv.glmnet
to data.frame
ROCR::performance
objects to data.frame
survival::survfit
to data.frame
stats::prcomp
, stats::princomp
to data.frame
vars::varprd
to data.frame
base::table
to data.frame
base::table
to data.frame
ggplot2::geom_xxx
functionsdata.frame
biplot
using ggplot2
.ggplot2::ggplot
ggplot2::ggplot
ggmultiplot