你在学习R编程语言吗?你想学习如何用R完成更多的任务吗?看看我们下面的“用R做更多”教程——许多视频都不到10分钟。在下表中，您可以轻松地按任务、一般主题和特定R包搜索所有教程。
可选类别:大数据、协作、数据可视化、数据分析、数据导出、数据导入、数据争吵、ggplot、GIS、微软、编程、RStudio和vscode。一些例子:
一、ggplot和其他R数据可视化
你需要用R画静态图吗?交互式图形?动画吗?搜索下面的术语，如ggplot、dataviz和颜色。您将获得诸如使用ggtext包为ggplot2可视化添加颜色、如何使用ggiraph创建交互式可视化和链接交互式图形以及如何使用内置R颜色和外部调色板等结果。如果你正在使用地理空间工具，有几个关于R的GIS教程，包括使用mapview包非常简单的映射。
二、微软
了解如何通过将Microsoft Office与R配对来获得更多的功能，包括如何从R生成PowerPoint幻灯片，从R发送Outlook电子邮件，或使用Quarto从R或Python创建Word文档。
三、数据争吵
学习如何以r3方式合并数据:基R、dplyr和数据。表和永远不要忘记语法，以更宽和更长的枢轴。如果你是一个tidyverse用户，这里有很多关于tidyr和dplyr的内容。如果您正在寻找提高数据争论和分析性能的新方法，请参阅数据介绍。表包，最终R数据。表小抄和其他数据。表教程。
下表中还有很多R教程。搜索下面的表格
按任务、包或类别搜索“用R做更多”
TASK CATEGORY PACKAGES/SOFTWARE Write and run R code in Microsoft Visual Studio Code programming, vscode, Microsoft Visual Studio Code, VSCode Use git and GitHub with R programming usethis, Rstudio Send text messages with R collaboration twilio Remember tidyr pivot_wider and pivot_longer data wrangling tidyr, RStudio Reshape data with tidyr’s new pivot functions data wrangling tidyr Reshape data with tidyr data wrangling tidyr Automated code tests programming, functions testthat Create interactive scatter plots with taucharts dataviz taucharts Send Slack messages with R collaboration slackr Create maps GIS, dataviz sf, tmap, tmaptools, leaflet What’s that ZIP Code? Points in polygons geospatial analysis in R GIS, data analysis sf, tmap, tmaptools Twitter: Search, sort, and filter tweets by hashtag with rtweet and reactable programming rtweet, reactable Full text search your Mastodon posts programming, APIs rtoot Preview color-matched parentheses, brackets, and braces in RStudio alpha version programming RStudio Run lengthy scripts as RStudio background jobs programming, Rstudio RStudio Write your own RStudio addins programming Rstudio Save time with Rstudio addins and keyboard shortcuts programming Rstudio Save time with RStudio code snippets programming Rstudio Create PowerPoint files straight from R – or HTML slide presentations dataviz, data export rmarkdown, xaringan, Microsoft 365, PowerPoint, Microsoft Office Generate HTML, Word docs and more with R Markdown data display rmarkdown, Microsoft Office, Microsoft 365, Word Write your own ggplot2 functions programming rlang, ggplot2 Install and run Python with Rstudio programming reticulate, python Run Python in R code programming reticulate, python Create interactive tables with expandable rows data display reactable Use built-in R colors and external palettes dataviz rcolorutils, scales, tmaptools, paletteer, paletti R 4.0 new features and running R and Rstudio in a Docker container programming R, RStudio, Docker Create Word documents with R programming, Microsoft quarto, Microsoft Word Error check when iterating programming purrr Access nested list items data wrangling purrr Iterate without for loops using purrr’s map_df programming purrr Export data from R to Excel with Excel formatting or multiple sheets data export openxlsx, rio, Microsoft Office, Excel, Microsoft 365 Connect R with Outlook email and Teams collaboration programming, Microsoft Microsoft365R, Microsoft 365, Outlook, Teams, Microsoft Office Boost R Markdown interactivity data display markdown, shiny Astonishingly easy mapping with mapview GIS, dataviz, data analysis mapview Create an election map in R color coded by winner and victory margin GIS, data analysis leaflet Keep passwords and tokens secure security, programming keyring Count and visualize data by groups in R programming, dataviz janitor, vtree, CGPfunctions, ggplot2, dplyr, data.table Import API data with httr programming httr Create an interactive drilldown graph dataviz highcharter Send email with R and Gmail collaboration gmailr Add color to ggplot2 visualization with the ggtext package dataviz ggplot2, ggtext Add text labels to your ggplot2 graphs dataviz ggplot2, ggrepel 12 ggplot extensions worth knowing dataviz, ggplot ggplot2, ggpackets, ggblankets, ggeasy, gghighlight, ggthemes, ggsci, hrbrthemes, ggtext, ggdist, plotly, ggiraph, ggstatsplot, esquisse, patchwork, cowplot, ggforce Easier ggplot with ggeasy dataviz, ggplot ggplot2, ggeasy Create interactive visualizations and linked interactive graphics dataviz ggiraph, albersusa Easier ggplot with ggcharts dataviz, ggplot ggcharts, ggplot2, ggeasy, esquisse Create color-coded calendars dataviz ggcal, ggplot2 Create animations in R dataviz gganimate, ggplot2 Create dashboards dataviz flexdashboard Drag-and-drop ggplot dataviz esquisse, ggplot2 Create interactive plots and graphs dataviz echarts4r Get data.table speed with dplyr syntax using dtplyr programming dtplyr, dplyr, data.table Add sparklines to HTML tables dataviz DT, sparkline Make a quick interactive table data display DT Merge data in R 3 ways: base R, dplyr, and data.table data wrangling dplyr, data.table, dtplyr dplyr’s new across function data wrangling dplyr Calculate month-over-month comparisons programming dplyr Conditional values with case_when data wrangling dplyr Write your own R package programming devtools, usethis, roxygen2 Create racing bar charts dataviz ddplot The ultimate R data.table cheat sheet – with tidyverse code too (no video) programming data.table, tidyverse 5 useful fread options and features you might not know data import data.table data.table symbols and operators, plus new fcase function data wrangling, data analysis data.table Intro to data.table data wrangling, data analysis data.table Group and summarize with data.table and .SD programming data.table Schedule R scripts on a Mac programming cronR Send email with blastula programming blastula How to use R with Google BigQuery data import, big data bigrquery, BigQuery Customize ggplot with bbplot dataviz bbplot, ggplot2 Use the new R 4.1 pipe; run R 4.1 in Docker programming base R Create lookup tables with named vectors programming base R
原文：
Are you learning the R programming language? Do you want to learn how to do more tasks with R? Check out our Do More With R tutorials below — many with videos shorter than 10 minutes.
In the table below, you can easily search all the tutorials by task, general topic, and specific R packages.
Available categories: big data, collaboration, dataviz, data analysis, data export, data import, data wrangling, ggplot, GIS, Microsoft, programming, RStudio, and vscode.
Some examples:
ggplot and other R data visualizations
Do you need to make static plots with R? Interactive graphs? Animations? Search below for terms such as ggplot, dataviz, and color. You’ll get results such as Add color to ggplot2 visualization with the ggtext package, How to create interactive visualizations and linked interactive graphics with ggiraph and How to use built-in R colors and external palettes
If you’re working with geospatial tools, there are several tutorials on GIS with R including Astonishingly easy mapping with the mapview package.
Microsoft
See how to get more out of Microsoft Office by pairing it with R, including how to generate PowerPoint slides from R, send Outlook email from R, or create Word documents from R or Python with Quarto.[ Attend Virtual Summit on November 8 – CIO’s Future of Cloud Summit: Mastering Complexity & Digital Innovation – Register Today! ]
Data wrangling
Learn how to merge data in R 3 ways: base R, dplyr, and data.tableand never forget syntax to pivot wider and pivot longer.
If you’re a tidyverse user, there’s plenty here on tidyr and dplyr. And if you’re looking for new ways to boost data wrangling and analysis performance, check out Intro to the data.table package, the ultimate R data.table cheat sheet, and other data.table tutorials.
There are plenty more R tutorials in the table below.
本文由数字化转型网（www.szhzxw.cn）翻译而成，作者：Sharon Machlis；翻译：数字化转型网宁檬树；翻译审核：数字化转型网默然。
扫码加入数字化转型网读者交流社群
免责声明: 本网站(http://www.szhzxw.cn/)内容主要来自原创、合作媒体供稿和第三方投稿，凡在本网站出现的信息，均仅供参考。本网站将尽力确保所提供信息的准确性及可靠性，但不保证有关资料的准确性及可靠性，读者在使用前请进一步核实，并对任何自主决定的行为负责。本网站对有关资料所引致的错误、不确或遗漏，概不负任何法律责任。
