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