index.Rmd

--- 
title: "R Note"
author: "Seungwon Song"
date: "Update - `r Sys.Date()`"
site: bookdown::bookdown_site
documentclass: book
bibliography: [book.bib, packages.bib]
biblio-style: apalike
link-citations: yes
description: "It's R quick guide for anyone who start to study R"
output:
  bookdown::gitbook:
    css: css/style.css
    split_by: chapter #section
    config:
      toc:
        collapse: section
        before: |
          <li><a href="./index.html">R Note</a></li>
        after: |
          <li><a href="https://github.com/sw-song/rbook" target="blank">R Note - Github</a></li>
      
      
---

# Intro to R {-}


R is one of the best language for statistics. Sometimes it is compared with python. Python is nice tool for data analysis, especially machine learning or deep learning. But being able to handle R will gives anyone who works with data and statistics another huge advantage. 

This note will not cover too detailed grammar, internal principles, or advanced techniques. However, it focuses on how to handle data through R even if you do not know R syntax.

Then, let's start lightly!

```{r include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(c(
  .packages(), 'bookdown', 'knitr', 'rmarkdown'
), 'packages.bib')
```