Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations.
About This Book
Discover the multi-functional use of RStudio to support your daily work with R code
Learn to create stunning, meaningful, and interactive graphs and learn to embed them into easy communicable reports using multiple R packages
Develop your own R packages and Shiny web apps to share your knowledge and collaborate with others.
Who This Book Is For
This book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio's functionality to ease their development efforts. R programming experience is assumed as well as being comfortable with R's basic structures and a number of functions.
What You Will Learn
Discover the RStudio IDE and details about the user interface
Communicate your insights with R Markdown in static and interactive ways
Learn how to use different graphic systems to visualize your data
Build interactive web applications with the Shiny framework to present and share your results
Understand the process of package development and assemble your own R packages
Easily collaborate with other people on your projects by using Git and GitHub
Manage the R environment for your organization with RStudio and Shiny server
Apply your obtained knowledge about RStudio and R development to create a real-world dashboard solution
In Detail
RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will help you to solve real-world data problems.
This book begins by guiding you through the installation of RStudio and explaining the user interface step by step. From there, the next logical step is to use this knowledge to improve your data analysis workflow. We will do this by building up our toolbox to create interactive reports and graphs or even web applications with Shiny. To collaborate with others, we will explore how to use Git and GitHub with RStudio and how to build your own packages to ensure top quality results. Finally, we put it all together in an interactive dashboard written with R.
Style and approach
An easy-to-follow guide full of hands-on examples to master RStudio.
Beginning from explaining the basics, each topic is explained with a lot of details for every feature.
Comment 0
No. | Subject | Author | Date |
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1274 | logistic regression analysis 가 에러가 뜹니다. [1] | Ikarus86 | 2023.06.02 |
1273 | PSM 문의 [3] | starwars | 2023.04.13 |
1272 | 에러 문의 [2] | 화이팅 | 2023.04.19 |
1271 | moonBook 오류 관련 재문의드립니다. [1] | holyhyun | 2023.04.24 |
1270 | 통계마당 [2] | ejo | 2023.04.27 |
1269 | 연속형 변수인데 범주형으로 인지됩니다. [2] | shararaku | 2023.04.28 |
1268 | 교수님 안녕하세요~~ | 메시12 | 2023.04.29 |
1267 | 메타분석 U3 그래프 관련 문의드립니다 | 화이팅 | 2023.05.02 |
1266 | regression 결과 ppt 다운로드 오류 [2] | JuEuna | 2023.01.26 |
1265 | 반복 분석 자료 분석에 대해서 [2] | ng2o321 | 2023.01.30 |
1264 | 안녕하세요. 정회원인데, 정회원 서버에서 Table 만들기 하면 [2] | brainok | 2023.02.03 |
1263 | Cluster analysis in Web-R [3] | 깨수깡 | 2023.02.07 |
1262 | logistic regression 결과 다운로드 오류 [2] | 남세이짱 | 2023.03.14 |
1261 | mytable을 사용했는데 표가 console에서 보이지 않고 오류도 없는데, 뭐가 문제일까요? [3] | 난둥 | 2023.02.19 |
1260 | 결과표가 다운에러가 납니다. [2] | sophiachoi | 2023.02.21 |
1259 | PSM 문의 | qubic | 2023.02.23 |
1258 | PSM 결과표 문의입니다. | 오공이공 | 2023.03.02 |
1257 | 안녕하세요. [4] | 유령 | 2023.03.12 |
1256 | 보고서 다운로드 에러가 납니다.. | 세렌 | 2023.03.16 |
1255 | group-based trajectory modeling | swpapa | 2023.03.19 |