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