Export or Import Graph and Tables to 'Microsoft' Office
Provides wrap functions to export and import graphics and
data frames in R to 'microsoft' office. And This package also
provide write out figures with lots of different formats.
Since people may work on the platform without GUI support, the package
also provide function to easily write out figures
to lots of different type of formats.
officer, rvg, flextable, broom, dplyr, magrittr, htmlwidgets,
plotly, ggplotify, R.devices, devEMF

officer, rvg, flextable, broom, dplyr, magrittr, ggplotify,
R.devices, devEMF

Export or Graph and Tables to 'Microsoft' Office and Import
Figures and Tables
Provides wrap functions to export and import graphics and
data frames in R to 'microsoft' office. And This package also
provide write out figures with lots of different formats.
Since people may work on the platform without GUI support, the package
also provide function to easily write out figures
to lots of different type of formats. Now this package provide function
to extract colors from all types of figures and pdf files.
officer, rvg, flextable, broom, dplyr, magrittr, tibble,
ggplotify, R.devices, devEMF, magick, gplots, ggplot2,
htmlwidgets, plotly

officer, rvg, flextable, broom, dplyr, magrittr, ggplotify,
R.devices, devEMF, magick, ggplot2, htmlwidgets, plotly

person("Kai", "Guo", email = "guokai8@gmail.com",
role = c("aut", "cre"))

A collection of nice plotting functions directly from a
data.frame with limited customisation possibilities.

A collection of nice plotting functions directly from a data.frame with limited customisation possibilities.

Statistical Functions for the Censored and Uncensored
Epanechnikov Distribution
person("Mathias Borritz", "Milfeldt", email = "mathias@milfeldt.dk", role = c("aut", "cre"))
Analyzing censored variables usually requires the use of optimization algorithms. This package provides an alternative algebraic approach to the task of determining the expected value of a random censored variable with a known censoring point. Likewise this approach allows for the determination of the censoring point if the expected value is known. These results are derived under the assumption that the variable follows an Epanechnikov kernel distribution with known mean and range prior to censoring. Statistical functions related to the uncensored Epanechnikov distribution are also provided by this package.