| 专业领域 28 |
| R包：admiral | 开发 ADaM 数据集 | admiral.pdf) | contributed | | |
| R包：Arrow | 提供了一个与 Arrow C++ 库的接口 | arrow.pdf) | contributed | https://arrow.apache.org/docs/r/ | https://cran.r-project.org/web/packages/arrow/index.html |
| R包：BCEA | 贝叶斯成本效益分析 | bcea.pdf) | contributed | | https://cran.r-project.org/web/packages/BCEA/index.html |
| R包：cartography | 专题制图学 | cartography.pdf) | contributed | | https://cran.r-project.org/web/packages/cartography/index.html |
| R包：DeclareDesign | 声明和诊断研究设计 | declaredesign.pdf) | contributed | | https://cran.r-project.org/web/packages/DeclareDesign/index.html |
| R包：DRomics | 组学剂量反应 | DRomics.pdf) | contributed | | https://cran.r-project.org/web/packages/DRomics/index.html |
| R包：eurostat | 欧盟统计局开放数据工具 | eurostat.pdf) | contributed | | https://cran.r-project.org/web/packages/eurostat/index.html |
| R包：gwasrapidd | GWAS' R 'API' 数据下载 | gwasrapidd.pdf) | contributed | | https://cran.r-project.org/web/packages/gwasrapidd/index.html |
| R包：jfa | 审计统计方法 | jfa.pdf) | contributed | | https://cran.r-project.org/web/packages/jfa/index.html |
| R包：leaflet | 使用 JavaScript 'Leaflet' 库创建交互式 Web 地图 | leaflet.pdf) | contributed | leaflet | https://cran.r-project.org/web/packages/leaflet/index.html |
| R包：mall | 自然语言处理 | nlp-with-llms.pdf) | Posit | nlp-with-llms.html) | |
| R包：mapsf | 专题制图 | mapsf.pdf) | contributed | | https://cran.r-project.org/web/packages/mapsf/index.html |
| R包：mosaic | MOSAIC项目统计和数学教学工具 | mosaic.pdf) | contributed | | https://cran.r-project.org/web/packages/mosaic/index.html |
| R包：nardl | 非线性协整自回归分布滞后模型 | nardl.pdf) | contributed | | https://cran.r-project.org/web/packages/nardl/index.html |
| R包：nimble | MCMC、粒子滤波和可编程分层建模 | nimble.pdf) | contributed | https://r-nimble.org/, nimble | https://cran.r-project.org/web/packages/nimble/index.html |
| R包：oscar | 使用 L0 伪范数的最优子集基数回归 (OSCAR) 模型 | oSCR.pdf) | contributed | | https://cran.r-project.org/web/packages/oscar/index.html |
| R包：quanteda | 文本数据的定量分析 | quanteda.pdf) | contributed | https://quanteda.io/ | index.html |
| R包：quincunx | PGS目录的REST API客户端 | quincunx.pdf) | contributed | | index.html |
| R包：rgee | 提供了所有 Earth Engine API 的类、模块和函数 | rgee.pdf) | contributed | | https://cran.r-project.org/web/packages/rgee/index.html |
| R包：rphylopic | 从 PhyloPic 获取生物体的轮廓图 | rphylopic.pdf) | contributed | | https://cran.r-project.org/web/packages/rphylopic/index.html |
| R包：sasr | 'SAS'接口 | sas-r.pdf) | contributed | | https://cran.r-project.org/web/packages/sasr/index.html |
| R包：slackr | 用户发送消息、图像、R 对象和文件 | slackr.pdf) | contributed | | https://cran.r-project.org/web/packages/slackr/index.html |
| R包：sparklyr | 在 Spark 中进行数据科学分析 | sparklyr.pdf) | Posit | sparklyr.html) | |
| R包：SqueakR | 用于“DeepSqueak”生物声学研究的实验界面 | SqueakR.pdf) | contributed | | https://cran.r-project.org/web/packages/SqueakR/index.html |
| R包：srvyr | 类似 'dplyr' 的语法，用于汇总调查数据统计信息 | srvyr.pdf) | contributed | | https://cran.r-project.org/web/packages/srvyr/index.html |
| R包：torch | 用“GPU”加速的张量和神经网络 | torch.pdf) | contributed | | https://cran.r-project.org/web/packages/torch/index.html |
| R包：VEGAN | 生态包 | vegan.pdf) | contributed | | https://cran.r-project.org/web/packages/vegan/index.html |
| R包：vivainsights | 分析和可视化来自“Microsoft Viva Insights”的数据 | vivainsights_py.pdf), vivainsights_r.pdf) | contributed | | https://cran.r-project.org/web/packages/vivainsights/index.html |
| 入门 10 |
| Base R | R语言基础知识 | base-r.pdf) | contributed | | |
| Best Practice for R | R的最佳实践 | R-best-practice.pdf) | contributed | | |
| How Big is Your Graph？ | 控制图片大小 | how-big-is-your-graph.pdf) | contributed | | |
| Plotnine | 数据可视化：Python | plotnine.pdf) | Posit | plotnine.html) | |
| RStudio IDE | RStudio使用指南 | rstudio-ide.pdf) | Posit | rstudio-ide.html) | |
| R包：dplyr | 数据转换 | data-transformation.pdf) | Posit | data-transformation.html), https://dplyr.tidyverse.org/ | |
| R包：ggplot2 | 数据可视化 | data-visualization.pdf) | Posit | data-visualization.html), https://ggplot2.tidyverse.org/ | |
| R包：Plotnine | 数据可视化：Python | plotnine.pdf) | Posit | plotnine.html) | |
| R包：rmarkdown | 可重复性研究 | rmarkdown.pdf) | Posit | rmarkdown.html) | |
| R包：tidyverse | 数据导入 | data-import.pdf) | Posit | data-import.html), https://tidyverse.org/ | |
| 兴趣 2 |
| Posit Team | Posit Team 汇集了 Posit 最受欢迎的产品：Workbench、Connect 和 Package Manager。这一组合为那些使用 R 和 Python 进行数据科学分析的团队提供了端到端的解决方案。它能够优化数据科学家的整个工作流程，涵盖从数据分析、数据产品开发到环境管理的各个环节。 | posit-team.pdf) | Posit | posit-team.html) | |
| R包：shinychat | AI 聊天机器人 | shinychat.pdf) | Posit | shinychat.html) | |
| 高级 39 |
| R包：bayesplot | 贝叶斯模型绘图 | bayesplot.pdf) | contributed | | https://cran.r-project.org/web/packages/bayesplot/index.html |
| R包：caret | 分类和回归训练 | caret.pdf) | contributed | | https://cran.r-project.org/web/packages/caret/index.html |
| R包：collapse | 高级快速数据转换 | collapse.pdf) | contributed | | https://cran.r-project.org/web/packages/collapse/index.html |
| R包：data | 快速聚合大数据 | datatable.pdf) | contributed | | https://cran.r-project.org/web/packages/data.table/index.html |
| R包：devtools | R包开发 | package-development.pdf) | Posit | package-development.html) | |
| R包：distr6 | 将 R 中已实现的概率分布整合到一个面向对象的 R6 包中 | distr6.pdf) | contributed | https://xoopr.github.io/distr6/ | |
| R包：estimatr | 基于设计的推理的快速估计器 | estimatr.pdf) | contributed | | https://cran.r-project.org/web/packages/estimatr/index.html |
| R包：gganimate | 动画图形语法 | gganimate.pdf) | contributed | | https://cran.r-project.org/web/packages/gganimate/index.html |
| R包：golem | 一个用于构建健壮 Shiny 应用的框架 | golem.pdf) | contributed | | https://cran.r-project.org/web/packages/golem/index.html |
| R包：Great Tables | 输出优质表格 | great-tables.pdf) | Posit | great-tables.html) | |
| R包：gt | 输出优质表格 | gt.pdf) | Posit | gt.html), https://gt.rstudio.com/, https://posit.co/blog/gt-1-2-0/ | |
| R包：gtsummary | 可用于演示的数据汇总和分析结果表 | gtsummary.pdf) | contributed | index.html | https://cran.r-project.org/web/packages/gtsummary/index.html |
| R包：h2o | 用于“H2O”可扩展机器学习平台的 R 接口 | h2o.pdf) | contributed | index.html | https://cran.r-project.org/web/packages/h2o/index.html |
| R包：imputeTS | 时间序列缺失值插补 | imputeTS.pdf) | contributed | | https://cran.r-project.org/web/packages/imputeTS/index.html |
| R包：Keras | 深度学习 | keras.pdf) | Posit | keras.html) | |
| R包：lubridate | 处理日期和时间 | lubridate.pdf) | Posit | lubridate.html) | |
| R包：metrica | 预测性能指标 | metrica.pdf) | contributed | | https://cran.r-project.org/web/packages/metrica/index.html |
| R包：mlr | 机器学习 | mlr.pdf) | contributed | | https://cran.r-project.org/web/packages/mlr/index.html |
| R包：overviewR | 提取数据信息 | overviewR.pdf) | contributed | | https://cran.r-project.org/web/packages/overviewR/index.html |
| R包：packagefinder | 搜索CRAN中的R包 | packagefinder.pdf) | contributed | | https://cran.r-project.org/web/packages/packagefinder/index.html |
| R包：parsnip | 创建模型 | ml-create-models.pdf) | Posit | ml-create-models.html), https://parsnip.tidymodels.org/ | https://cran.r-project.org/web/packages/parsnip/index.html |
| R包：plumber | REST API | plumber.pdf) | Posit | plumber.html) | |
| R包：purrr | 函数式编程 | purrr.pdf) | Posit | purrr.html), https://purrr.tidyverse.org/ | |
| R包：quarto | 发布和分享 | quarto.pdf) | Posit | quarto.html), https://quarto.org/ | https://cran.r-project.org/web/packages/quarto/index.html |
| R包：randomizr | 易于使用的常见随机分配和抽样工具 | randomizr.pdf) | contributed | | https://cran.r-project.org/web/packages/randomizr/index.html |
| R包：recipes | 数据预处理 | ml-preprocessing-data.pdf) | Posit | ml-preprocessing-data.html), https://recipes.tidymodels.org/ | |
| R包：reticulate | 混合使用R和Python | reticulate.pdf) | Posit | reticulate.html), https://rstudio.github.io/reticulate/ | https://cran.r-project.org/web/packages/reticulate/index.html |
| R包：rlang | 用于基本类型、核心 R 和“Tidyverse”特性的函数 | tidyeval.pdf) | contributed | | https://cran.r-project.org/web/packages/rlang/index.html |
| R包：SamplingStrata | 多用途抽样调查中抽样框的最佳分层 | SamplingStrata.pdf) | contributed | | https://cran.r-project.org/web/packages/SamplingStrata/index.html |
| R包：sf | 处理空间数据 | sf.pdf) | contributed | | https://cran.r-project.org/web/packages/sf/index.html |
| R包：Shiny | 开发应用程序 | shiny-python.pdf), shiny.pdf) | Posit | shiny-python.html), shiny.html) | |
| R包：sjmisc | 数据和变量转换函数 | sjmisc.pdf) | contributed | | https://cran.r-project.org/web/packages/sjmisc/index.html |
| R包：stringr | 字符串操作 | strings.pdf) | Posit | strings.html) | |
| R包：survminer | 绘制生存曲线 | survminer.pdf) | contributed | | https://cran.r-project.org/web/packages/survminer/index.html |
| R包：tidyr | 数据整理 | tidyr.pdf) | Posit | tidyr.html) | |
| R包：tsbox | 与类别无关的时间序列 | tsbox.pdf) | contributed | | https://cran.r-project.org/web/packages/tsbox/index.html |
| R包：vtree | 数据探索：显示数据框嵌套子集的信息 | vtree.pdf) | contributed | | https://cran.r-project.org/web/packages/vtree/index.html |
| R包：xplain | 提供统计结果的交互式解释和说明 | xplain.pdf) | contributed | | https://cran.r-project.org/web/packages/xplain/index.html |
| Using Git and GitHub with RStudio | 在Rstudio中使用git和github | git-github.pdf) | contributed | | |
