Shulou(Shulou.com)06/03 Report--

A quick introduction to R language

Course learning website: http://www.xuetuwuyou.com/course/196

The course is from www.51.com: http://www.xuetuwuyou.com

Course introduction

This tutorial explains how to use R language to manipulate data. The course covers all aspects of R language programming, including the types of R objects, R notation and environment systems, custom functions, if else statements, for loops, S3 R package systems and debugging tools. This course also demonstrates how to do vectorization programming through examples to speed up the code and maximize the potential of R. This course is suitable for beginners of R language who aspire to become data scientists.

Course catalogue

Chapter 1: introduction to R language fundamentals

1. Why to learn R language, the introduction of R language and the overview of R language

2. R installation, basic use (preliminary understanding of HelloWorld programs and functions and objects)

3.Using help commands in R and instructions for R script execution

4.A preliminary glimpse of the function of R language: case study and drawing and input and output in R (save graphics as pictures and files)

5. R language integrated development tool RStutio installation and use and package installation and loading instructions in R language

6. Case: install ggplot2 package and draw scatter chart and histogram for use

7. Detailed explanation of object Object and Vector Vector in R

8. Detailed explanation of atomicity vector and vector attributes in R

9.What is a function in R and its definition and use

10. Project practice 1: roll the dice (1) use of function and object definition

11. Project practice 1: roll the dice (2) definition, optimization and qplot drawing of function

Chapter 2: data structure and data analysis of R language

12.R Matrix creation of data structure (combined with case)

13.R data structure Matrix element acquisition and Array creation

14.R data frame dataframe creation and use (combined with case)

15.R list list of data structures and use of common string functions

Import CSV and XML data into the workspace and RStudio of R

17.R load data in CSV format and conduct business analysis (combined with case study)

18.R read data from EXCEL and MySQL database tables (combined with cases)

19. Project: generation of poker games, definition of shuffling and shuffling functions

20. Project: detailed explanation of global environment and function runtime environment in R language of poker game

21. Project: poker game combined with R environment to rewrite dealing function and shuffling function

twenty-two。 Project: rewriting code and testing using closures in poker games

23. Project: the poker game modifies the values in the object according to different rules of the game

24. Project: Overview of functional requirements and implementation of xxx symbol function

25. Project: calculate the amount according to the symbol of × × (used by IF...ELSE statement)

twenty-six。 Project: project: calculate the amount of money completed and run the test (involving FOR recycling)

Related recommendations:

Introduction to data mining to proficiency in-R language

Course viewing address: http://www.xuetuwuyou.com/course/59

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