install.packages('ggfortify')
stats::density
changepoint::cpt
ggplot
instances.
It returns the passed instance as it is.stats::dist
to data.frame
vars::varprd
forecast::bats
and forecast::ets
to data.frame
glmnet::cv.glmnet
stats::ar
stats::acf
to data.frame
survival::aareg
to data.frame
base::matrix
ROCR::performance
maps::map
lfda::lfda
or lfda::klfda
or lfda::self
to data.frame
data.frame
survival::survfit
changepoint::cpt
and strucchange::breakpoints
to data.frame
stats::acf
vars::varprd
to data.frame
data.frame
glmnet::glmnet
to data.frame
base::matrix
to data.frame
ROCR::performance
objects to data.frame
forecast::forecast
to data.frame
stats::factanal
to data.frame
MSwM::MSM.lm
to data.frame
ts
index to Date
vector
ggplot2::geom_xxx
functionsggplot2::geom_xxx
functionsts
variatesdata.frame
ggmultiplot
data.frame
fortified from target.glmnet::cv.glmnet
to data.frame
stats::density
to data.frame
stats::spec
stats::spec
to data.frame
base::table
to data.frame
stats::monthplot
raster
to data.frame
cluster::silhouette
to data.frame
survival::survfit
to data.frame
biplot
using ggplot2
.sp
instances to data.frame
.base::table
to data.frame
stats::prcomp
, stats::princomp
to data.frame
Date
vector
continue to ts
indexstats::stepfun
to data.frame
ggplot2::autoplot
ggplot2::ggplot
instancesggplot2::qplot
ggmultiplot
maps::map
to data.frame
.ggplot2::ggplot
ggplot2::ggplot
scale
-ed objectggmultiplot
data.frame
stats::ar
ggmultiplot
ggplot2::ggplot
maps::map
MSwM::MSM.lm
strucchange::breakpoints
ggplot2::ggplot
raster::raster
survival::aareg
stats::acf
. Note to pass `plot = FALSE` to original function to suppress
standard plot outputggmultiplot
instances.
It returns the passed instance as it is.glmnet::glmnet
stats::lm
and stats::glm
stats::stepfun
forecast::forecast