
An Introduction to R
2024年4月9日 · 8 Reproducible reports with R markdown. 8.1 What is R markdown? 8.2 Why use R markdown? 8.3 Get started with R markdown; 8.4 Create an R markdown document; 8.5 R …
R Introduction - W3Schools
R is a popular programming language used for statistical computing and graphical presentation. Its most common use is to analyze and visualize data. Why Use R? This tutorial will teach you …
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An Introduction to R
1 Introduction and preliminaries 1.1 The R environment R is an integrated suite of software facilities for data manipulation, calculation and graphical display. Among other things it has an …
GitHub - DingGuohui/R-intro-cn: 《R导论》:R语言官方文档《An Introduction to R …
"# R-intro-cn" 原始说明 最早的版本的是texinfo版本(2004~2005年左右,可能是国内最早系统介绍R语言的文档了),后来考虑做成PDF版本的(当时Texinfo中文转化很多坑),就用Latex …
Data Science: R Basics | Harvard University - Professional and …
Build a foundation in R and learn how to wrangle, analyze, and visualize data. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics …
Intro to R: Basics, Programming, Loop Functions, Debugging, …
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming …
简介 · GitBook - GitHub Pages
2020年4月24日 · R 导论 是 An Introduction to R 的中文版。 由 Guohui Ding (丁国徽),在2004~2006年翻译完成。 2017年他应网友要求重新制作了PDF版,并将 底稿 开源。 译者 1 …
R Programming Fundamentals - Stanford Online
This course covers an introduction to R, from installation to basic statistical functions. You will learn to work with variable and external data sets, write functions, and hear from one of the co …
Introduction to R Programming | intro_to_R
Introduction to R Programming. This repository hosts all the source code and meterial used to create the content of the course Introduction to R Programming taught to APE graduate …
R Introduction - R Tutorial
An introduction to R, discuss on R installation, R session, variable assignment, applying functions, inline comments, installing add-on packages, R help and documentation.