install.packages('ggfortify')
changepoint::cpt
glmnet::cv.glmnet
MSwM::MSM.lm
stats::lm
and stats::glm
ggmultiplot
instances.
It returns the passed instance as it is.ggplot2::ggplot
stats::acf
ggplot
instances.
It returns the passed instance as it is.vars::varprd
ggplot2::ggplot
ROCR::performance
glmnet::glmnet
strucchange::breakpoints
sp
instances to data.frame
.stats::ar
stats::density
stats::density
to data.frame
stats::dist
to data.frame
forecast::forecast
survival::aareg
to data.frame
stats::stepfun
stats::spec
forecast::bats
and forecast::ets
to data.frame
stats::factanal
to data.frame
maps::map
base::matrix
Date
vector
continue to ts
indexbase::matrix
to data.frame
ggmultiplot
maps::map
to data.frame
.survival::survfit
forecast::forecast
to data.frame
stats::monthplot
stats::spec
to data.frame
stats::ar
data.frame
ggmultiplot
ggplot2::autoplot
scale
-ed objectstats::stepfun
to data.frame
glmnet::glmnet
to data.frame
MSwM::MSM.lm
to data.frame
changepoint::cpt
and strucchange::breakpoints
to data.frame
glmnet::cv.glmnet
to data.frame
vars::varprd
to data.frame
data.frame
ggplot2::ggplot
instancesbase::table
to data.frame
lfda::lfda
or lfda::klfda
or lfda::self
to data.frame
ROCR::performance
objects to data.frame
stats::prcomp
, stats::princomp
to data.frame
ts
variatesggplot2::geom_xxx
functionsbiplot
using ggplot2
.ggplot2::ggplot
data.frame
fortified from target.data.frame
ggplot2::ggplot
raster
to data.frame
ggmultiplot
stats::acf
to data.frame
ggplot2::qplot
survival::survfit
to data.frame
data.frame
ggplot2::geom_xxx
functionsbase::table
to data.frame
ts
index to Date
vector
ggmultiplot
raster::raster
maps::map
survival::aareg
stats::acf
. Note to pass `plot = FALSE` to original function to suppress
standard plot output