课程

R 中级

基础技能水平

更新时间 2026年3月

继续你的 R 忍者之旅，学习条件语句、循环和向量函数。

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RProgramming

6小时

14 视频

81 道练习

6,950 XP

670K+

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课程描述

"R 中级"是您深入掌握 R 编程语言的下一站。在本课程中，您将学习条件语句、循环和函数，为您的 R 脚本提供动力。接着，使用 apply 系列函数让您的 R 代码更高效、更易读。最后，在实用工具一章中，您将快速掌握 R 中的正则表达式、数据结构操作，以及时间与日期的处理。通过本课程，您将进一步提升在 R 编程中的整体知识与能力。视频包含实时字幕，您可以点击视频左下角的 "Show transcript" 展开查看。课程术语表位于右侧的资源部分。若要获取 CPE 学分，您需要完成课程并在合格测评中达到 70% 的得分。您可以点击右侧的 CPE 学分提示进入测评。

先决条件

Introduction to R

1

Conditionals and Control Flow

In this chapter, you'll learn about relational operators for comparing R objects, and logical operators like "and" and "or" for combining TRUE and FALSE values. Then, you'll use this knowledge to build conditional statements.

Relational Operators

Greater and less than

Compare vectors

Compare matrices

Logical Operators

& and | (2)

Reverse the result: !

Blend it all together

Conditional Statements

The if statement

Add an else

Customize further: else if

Else if 2.0

Take control!

2

Loops

Loops can come in handy on numerous occasions. While loops are like repeated if statements, the for loop is designed to iterate over all elements in a sequence. Learn about them in this chapter.

Write a while loop

Throw in more conditionals

Stop the while loop: break

Build a while loop from scratch

Loop over a vector

Loop over a list

Loop over a matrix

Mix it up with control flow

Next, you break it

Build a for loop from scratch

3

Functions

Functions are an extremely important concept in almost every programming language, and R is no different. Learn what functions are and how to use them—then take charge by writing your own functions.

Introduction to Functions

Function documentation

Use a function

Use a function (2)

Use a function (3)

Functions inside functions

Required, or optional?

Writing Functions

Write your own function

Write your own function (2)

Write your own function (3)

Function scoping

R passes arguments by value

R you functional?

R you functional? (2)

Load an R Package

Different ways to load a package

4

The apply family

Whenever you're using a for loop, you may want to revise your code to see whether you can use the lapply function instead. Learn all about this intuitive way of applying a function over a list or a vector, and how to use its variants, sapply and vapply.

Use lapply with a built-in R function

Use lapply with your own function

lapply and anonymous functions

Use lapply with additional arguments

Apply functions that return NULL

How to use sapply

sapply with your own function

sapply with function returning vector

sapply can't simplify, now what?

sapply with functions that return NULL

Reverse engineering sapply

Use vapply (2)

From sapply to vapply

5

Utilities

Mastering R programming is not only about understanding its programming concepts. Having a solid understanding of a wide range of R functions is also important. This chapter introduces you to many useful functions for data structure manipulation, regular expressions, and working with times and dates.

Useful Functions

Mathematical utilities

Find the error

Data Utilities

Find the error (2)

Beat Gauss using R

Regular Expressions

grepl & grep

grepl & grep (2)

sub & gsub (2)

Times & Dates

Right here, right now

Create and format dates

Create and format times

Calculations with Dates

Calculations with Times

Time is of the essence

R 中级

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