Collection of package development tools.
Tools to Make Developing R Packages Easier
2017-1-9 R主要是以命令行操作,同时有人开发了几种图形用户界面。R语言的下载和安装 官方网站(英文):The R Project for Statistical Computing 进入后点击Download下面的CRAN镜像下载R语言的安装包.
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The aim of devtools is to make package development easier by providing Rfunctions that simplify and expedite common tasks. RPackages is a book based around this workflow.
InstallationCheatsheetGeneralhoslem Package R Download Mac Download![]() Usage
All devtools functions accept a path as an argument, e.g.
load_all('path/to/mypkg') . If you don't specify a path, devtools willlook in the current working directory - this is a recommended practice.
Frequent development tasks:
Building and installing:
Check and release:
Learning more
R package development can be intimidating, however there are now a number ofvaluable resources to help!
Conscious uncoupling
devtools started off as a lean-and-mean package to facilitate local packagedevelopment, but over the years it accumulated more and more functionality.devtools has undergone a consciousuncouplingto split out functionality into smaller, more tightly focussed packages. Thisincludes:
Generally, you would not need to worry about these different packages, becausedevtools installs all of them automatically. You will need to care, however, ifyou're filing a bug because reporting it at the correct place will lead to aspeedier resolution.
You may also need to care if you are trying to use some devtools functionalityin your own package or deployed application. Generally in these cases itis better to depend on the particular package directly rather than depend on devtools,e.g. use
sessioninfo::session_info() rather than devtools::session_info() ,or remotes::install_github() vs devtools::install_github() .
However for day to day development we recommend you continue to use
library(devtools) to quickly load all needed development tools, just likelibrary(tidyverse) quickly loads all the tools necessary for data explorationand visualization.
Code of conduct
Please note that the devtools project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Functions in devtools
Vignettes of devtools
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Harrell Miscellaneous
Contains many functions useful for dataanalysis, high-level graphics, utility operations, functions forcomputing sample size and power, importing and annotating datasets,imputing missing values, advanced table making, variable clustering,character string manipulation, conversion of R objects to LaTeX and html code,and recoding variables.
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Harrell Miscellaneous
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Functions in Hmisc
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