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