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웹에서 하는 R 통계

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간만에 나온 RStudio 책입니다!!!


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.

번호 제목 글쓴이 날짜 조회 수
공지 Live Coding으로 배우는 Shiny App 개발 Workshop 안내 cardiomoon 2018.08.17 217
공지 RStudio Server Pro 의 라이센스 renewal 안내 [1] cardiomoon 2018.03.17 665
공지 무료강좌 : R과 shiny를 이용한 web application 제작 cardiomoon 2018.03.11 1297
공지 정회원용 서버 운영 시작 [3] cardiomoon 2017.09.14 1111
공지 제 4회 웹에서 하는 R통계 워크샵 안내 [3] cardiomoon 2017.07.11 1291
공지 제 3회 웹에서 하는 통계 workshop 안내 [3] cardiomoon 2016.12.29 755
공지 정회원분들께 압립니다.: RStudio Server 계정 안내 cardiomoon 2016.03.31 1027
공지 웹R(web-r.org)에서 공동 운영진을 모십니다. cardiomoon 2016.03.28 826
공지 웹 R 정회원 가입 안내 [3] cardiomoon 2016.03.20 1905
공지 RStudio Server Pro Renewal 안내 cardiomoon 2016.03.20 702
공지 웹 R 서버 증설 안내 cardiomoon 2015.10.10 1159
공지 정회원 여러분께 알려드립니다. [2] cardiomoon 2015.03.31 1177
공지 공동운영진 지원하신 분들에게 알립니다. cardiomoon 2015.03.28 880
공지 정회원 등업 후 특전 [1] cardiomoon 2015.03.28 2019
35 첫번째 오프라인 모임 합니다.(4/8) [9] cardiomoon 2015.03.31 1807
34 첫번째 오프라인 모임 공지합니다. [2] cardiomoon 2015.04.07 1164
33 R tidyverse를 이용한 효율적데이터분석 워크샵 안내 file cardiomoon 2018.07.04 1128
32 [책소개] R in 24 Hours fermat39 2015.12.25 1090
31 웹에서하는 R통계 워크샵 안내(대전) [2] cardiomoon 2017.05.12 998
» [책 소개] Mastering RStudio – Develop, Communicate, and Collaborate with R file fermat39 2015.12.18 853
29 제1회 웹에서 클릭만으로 하는 R통계분석 워크샵 안내 [1] file cardiomoon 2016.01.30 847
28 생존나무 분석 [1] 미래소년코난 2016.10.13 817