R Programming Core Textbook for Beginners

R Programming, a core textbook for beginners, all in one place!

This is a downloadable textbook, not a video content.

The table of contents has been organized to help you build basic R programming skills, starting with how to install R and Rstudio.
It focuses on the concepts of vector, dataframe, and list, as well as frequently used functions and techniques, and also includes intermediate and advanced skills.
We will also learn and practice the basics of web crawling.

R Basic Grammar PDF Textbook and Practice Code Composition

The content is organized so that those who are new to the R language can follow along in order.
I have organized the PDF so that you can practice directly in R with ctrl+C, ctrl+V.
*The document is updated periodically.

Table of Contents (as of July 2020)

1. Install and configure R

• Installing R and Rstudio
• Rstudio setup
• Rstudio window description
• Encoding settings
• Character corruption when opening Rscript in R Studio
• RStudio Keyboard Shortcut Settings

2. How to handle vectors

• Declaring and executing variables
• Converting numbers to characters: as.character/as.numeric
• Vector Declaration: Numeric/Character
• How to handle vector index
  1. Single element approach to vector
  2. Multi-element approach to vector
  3. Vector's sequential multi-element approach
  4. How to remove specific elements from a vector
  5. How to access True/False in vector
• Sorting Vector: sort/order functions
  1. Sort function
  2. order function
  3. Seq/Rep function

3. How to handle the Matrix

• matrix declaration/matrix element access
• Difference between matrix and data.frame
• Setting dataframe column/row names (colnames/rownames functions)
• paste function and paste0 function
• rbind/cbind/c functions

4. Loops

• How to use the for loop
• Things to do when working with cat and print functions/loop statements
• While loop

5. File Management (Input/Output and Storage)

• Save csv file to desired path: write.csv, getwd, setwd
• Creating a folder with code: dir.create function
• Importing multiple CSV files into a single folder: list.files function
• String search function (str_detect function, %in% operator)
• Import and merge only the desired CSV files from multiple folders.

6. Understanding the Apply series of functions and lists

• Understanding the apply function, calculating the sum of each data column/row
• Understanding the tapply function properly and applying the function to each data element
• Understanding the list function
• String splitting function: str_split/list structure
• Learn about the sapply and lapply functions
• Using the do.call statement in a list
• Saving a list: save/load functions

7. Other frequently used functions

• Finding vector, matrix, dataframe, and list dimensions
• Automatically declaring multiple variables in R
• Save plot (resolution and size adjustment, multi plot)
• How to use variables inside a function from outside in R
• Sys.sleep function to keep code from executing
• Functions to get the current date or time: Sys.time/Sys.Date
• How to find NA, Inf, -Inf data
• AND, OR, NOT operators
• Extraction with replacement/extraction without replacement: sample function

8. Web crawling with R, just for fun

• Clien Community Crawling 1
• Clien Community Crawling 2
• Clien Community Crawling 3

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📣 Please note before taking the class!
This content is not video content, but textbook content in the form of a text document.
Before downloading the entire PDF, please be sure to refer to the table of contents and the contents of Part 1. sample.
If you have downloaded the materials, refunds for the course are not possible.

In addition, unauthorized distribution, reproduction, and use of this document are prohibited.