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apply_facets()
|
Apply facets to to ggplot2::ggplot |
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apply_grid()
|
Apply grid to to ggplot2::ggplot |
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as_tibble(<basis>)
|
Convert a spline basis to a tibble |
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autoplot(<MSM.lm>)
|
Autoplot MSwM::MSM.lm |
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autoplot(<RasterCommon>)
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Autoplot raster::raster |
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autoplot(<SpatialCommon>)
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Autoplot maps::map |
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autoplot(<aareg>)
|
Autoplot survival::aareg |
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autoplot(<acf>)
|
Autoplot stats::acf. Note to pass `plot = FALSE` to original function to suppress standard plot output |
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autoplot(<basis>)
|
Autoplot spline basis instances |
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autoplot(<breakpoints>)
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Autoplot strucchange::breakpoints |
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autoplot(<cpt>)
|
Autoplot changepoint::cpt |
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autoplot(<cv.glmnet>)
|
Autoplot glmnet::cv.glmnet |
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autoplot(<density>)
|
Autoplot stats::density |
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autoplot(<forecast>)
|
Autoplot forecast::forecast |
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autoplot(<ggmultiplot>)
|
Autoplot ggmultiplot instances. It returns the passed instance as it is. |
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autoplot(<ggplot>)
|
Autoplot ggplot instances. It returns the passed instance as it is. |
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autoplot(<glmnet>)
|
Autoplot glmnet::glmnet |
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autoplot(<kmeans>)
|
Autoplot cluster instances |
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autoplot(<list>)
|
Autoplot list |
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autoplot(<lm>)
|
Autoplot stats::lm and stats::glm |
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autoplot(<map>)
|
Autoplot maps::map |
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autoplot(<matrix>)
|
Plot base::matrix |
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autoplot(<pca_common>)
|
Autoplot PCA-likes |
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autoplot(<performance>)
|
Autoplot ROCR::performance |
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autoplot(<silhouette>)
|
Autoplot silhouette instances |
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autoplot(<spec>)
|
Autoplot stats::spec |
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autoplot(<stepfun>)
|
Plot stats::stepfun |
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autoplot(<survfit>)
|
Autoplot survival::survfit |
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autoplot(<ts>)
|
Autoplot time-series-like |
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autoplot(<tsmodel>)
|
Autoplot time series models (like AR, ARIMA) |
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autoplot(<varprd>)
|
Autoplot vars::varprd |
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cbind_wraps()
|
Wrapper for cbind |
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check_names()
|
Check data names are equal with expected |
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confint(<acf>)
|
Calculate confidence interval for stats::acf |
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deprecate.warning()
|
Show deprecate warning |
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fitted(<ar>)
|
Calculate fitted values for stats::ar |
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flatten()
|
Flatten dataframe contains matrix |
|
fortify(<MSM.lm>)
|
Convert MSwM::MSM.lm to data.frame |
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fortify(<RasterCommon>)
|
Convert raster to data.frame |
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fortify(<SpatialCommon>)
|
Convert sp instances to data.frame. |
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fortify(<aareg>)
|
Convert survival::aareg to data.frame |
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fortify(<acf>)
|
Convert stats::acf to data.frame |
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fortify(<basis>)
|
Convert spline basis instances to data.frame |
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fortify(<cpt>)
|
Convert changepoint::cpt and strucchange::breakpoints to data.frame |
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fortify(<cv.glmnet>)
|
Convert glmnet::cv.glmnet to data.frame |
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fortify(<density>)
|
Convert stats::density to data.frame |
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fortify(<dist>)
|
Convert stats::dist to data.frame |
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fortify(<ets>)
|
Convert forecast::bats and forecast::ets to data.frame |
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fortify(<factanal>)
|
Convert stats::factanal to data.frame |
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fortify(<forecast>)
|
Convert forecast::forecast to data.frame |
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fortify(<glmnet>)
|
Convert glmnet::glmnet to data.frame |
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fortify(<kmeans>)
|
Convert cluster instances to data.frame |
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fortify(<lfda>)
|
Convert lfda::lfda or lfda::klfda or lfda::self to data.frame |
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fortify(<list>)
|
Convert list to data.frame |
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fortify(<matrix>)
|
Convert base::matrix to data.frame |
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fortify(<performance>)
|
Convert ROCR::performance objects to data.frame |
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fortify(<prcomp>)
|
Convert stats::prcomp, stats::princomp to data.frame |
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fortify(<silhouette>)
|
Convert cluster::silhouette to data.frame |
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fortify(<spec>)
|
Convert stats::spec to data.frame |
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fortify(<stepfun>)
|
Convert stats::stepfun to data.frame |
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fortify(<survfit>)
|
Convert survival::survfit to data.frame |
|
fortify(<table>)
|
Convert base::table to data.frame |
|
fortify(<ts>)
|
Convert time-series-like to data.frame |
|
fortify(<tsmodel>)
|
Convert time series models (like AR, ARIMA) to data.frame |
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fortify(<varprd>)
|
Convert vars::varprd to data.frame |
|
fortify_base()
|
Convert base::table to data.frame |
|
fortify_map()
|
Convert maps::map to data.frame. |
|
geom_confint()
|
Connect observations by stairs. |
|
geom_factory()
|
Factory function to control ggplot2::geom_xxx functions |
|
get.dtindex()
|
Convert ts index to Date vector |
|
get.dtindex.continuous()
|
Get Date vector continue to ts index |
|
get.layout()
|
Calcurate layout matrix for ggmultiplot |
|
get_geom_function()
|
Factory function to control ggplot2::geom_xxx functions |
|
ggbiplot()
|
Draw biplot using ggplot2. |
|
ggcpgram()
|
Plots a cumulative periodogram |
|
ggdistribution()
|
Plot distribution |
|
ggfortify-package ggfortify
|
ggfortify |
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ggfreqplot()
|
Plot seasonal subseries of time series, generalization of stats::monthplot |
|
length(<ggmultiplot>) `[`(<ggmultiplot>,<ANY>,<ANY>,<ANY>) `[[`(<ggmultiplot>) `[<-`(<ggmultiplot>,<ANY>,<ANY>,<ANY>) `[[<-`(<ggmultiplot>)
|
An S4 class to hold multiple ggplot2::ggplot instances |
|
ggtsdiag()
|
Plots time-series diagnostics |
|
grid.draw(<ggmultiplot>)
|
The implemented grid.draw method for ggmultiplot, in order to work with ggsave() properly |
|
infer()
|
Infer class name |
|
is.univariate()
|
Check if Validates number of ts variates |
|
is_derived_from()
|
Check object is target class, or object is data.frame fortified from target. |
|
plot_confint()
|
Attach confidence interval to ggplot2::ggplot |
|
plot_label()
|
Attach label to ggplot2::ggplot |
|
`+`(<ggmultiplot>,<ANY>)
|
Generic add operator for ggmultiplot |
|
post_autoplot()
|
Post process for fortify. Based on ggplot2::qplot |
|
post_fortify()
|
Post process for fortify. |
|
print(<ggmultiplot>)
|
Generic print function for ggmultiplot |
|
rbind_ts()
|
Rbind original and predicted time-series-like instances as fortified data.frame |
|
residuals(<ar>)
|
Calculate residuals for stats::ar |
|
show(<ggmultiplot>)
|
Generic show function for ggmultiplot |
|
support_autoplot()
|
Check if passed object is supported by ggplot2::autoplot |
|
unscale()
|
Backtransform scale-ed object |