install.packages('ggfortify')
maps::map
stats::stepfun
stats::ar
base::matrix
stats::acf
changepoint::cpt
and strucchange::breakpoints
to data.frame
data.frame
survival::survfit
base::matrix
to data.frame
ROCR::performance
objects to data.frame
glmnet::glmnet
to data.frame
stats::acf
to data.frame
data.frame
MSwM::MSM.lm
to data.frame
survival::aareg
to data.frame
maps::map
to data.frame
.stats::factanal
to data.frame
ROCR::performance
vars::varprd
ggmultiplot
instances.
It returns the passed instance as it is.ggplot
instances.
It returns the passed instance as it is.stats::spec
glmnet::cv.glmnet
to data.frame
raster
to data.frame
stats::density
to data.frame
stats::prcomp
, stats::princomp
to data.frame
cluster::silhouette
to data.frame
stats::dist
to data.frame
ggplot2::geom_xxx
functionssp
instances to data.frame
.forecast::bats
and forecast::ets
to data.frame
lfda::lfda
or lfda::klfda
or lfda::self
to data.frame
vars::varprd
to data.frame
biplot
using ggplot2
.ggmultiplot
data.frame
ggmultiplot
base::table
to data.frame
stats::spec
to data.frame
forecast::forecast
to data.frame
ggplot2::autoplot
ggplot2::qplot
ggmultiplot
stats::stepfun
to data.frame
base::table
to data.frame
survival::survfit
to data.frame
ggplot2::ggplot
instancesstats::monthplot
data.frame
fortified from target.ts
variatesscale
-ed objectggplot2::ggplot
ts
index to Date
vector
Date
vector
continue to ts
indexggmultiplot
ggplot2::geom_xxx
functionsggplot2::ggplot
stats::ar
data.frame
survival::aareg
strucchange::breakpoints
raster::raster
ggplot2::ggplot
ggplot2::ggplot
maps::map
stats::acf
. Note to pass `plot = FALSE` to original function to suppress
standard plot outputMSwM::MSM.lm
stats::density
forecast::forecast
glmnet::glmnet
glmnet::cv.glmnet
changepoint::cpt
stats::lm
and stats::glm