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