Seleksi vektor: masa-masa menyenangkan (2)

Bagaimana jika Anda menganalisis hasil pertengahan minggu?

Untuk memilih beberapa elemen dari sebuah vektor, Anda dapat menambahkan tanda kurung siku di akhir vektor. Di dalam kurung siku, Anda tentukan elemen mana yang akan dipilih. Misalnya: jika Anda ingin memilih hari pertama dan kelima dalam seminggu, gunakan vektor c(1, 5) di dalam kurung siku. Sebagai contoh, kode berikut memilih elemen pertama dan kelima dari poker_vector:

poker_vector[c(1, 5)]

Latihan ini merupakan bagian dari kursus

Pengantar R

Instruksi latihan

Tetapkan hasil poker untuk Tuesday, Wednesday dan Thursday ke variabel poker_midweek.

Latihan interaktif langsung praktik

Cobalah latihan ini dengan melengkapi kode contoh ini.

# Poker and roulette winnings from Monday to Friday:
poker_vector <- c(140, -50, 20, -120, 240)
roulette_vector <- c(-24, -50, 100, -350, 10)
days_vector <- c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday")
names(poker_vector) <- days_vector
names(roulette_vector) <- days_vector

# Define a new variable based on a selection
poker_midweek <-

Edit dan Jalankan Kode

Latihan ini merupakan bagian dari kursus

Pengantar R

SkillTag.level.beginnerSkillTag.label

4.8+

Mulai Kursus Gratis

Take your first steps with R. In this chapter, you will learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in R. Let's get started.

Exercise 1: How it works Exercise 2: Arithmetic with R Exercise 3: Variable assignment Exercise 4: Variable assignment (2)Exercise 5: Variable assignment (3)Exercise 6: Apples and oranges Exercise 7: Basic data types in R Exercise 8: What's that data type?

We take you on a trip to Vegas, where you will learn how to analyze your gambling results using vectors in R. After completing this chapter, you will be able to create vectors in R, name them, select elements from them, and compare different vectors.

Exercise 1: Membuat vektor Exercise 2: Membuat vektor (2)Exercise 3: Membuat vektor (3)Exercise 4: Memberi nama pada vektor Exercise 5: Memberi nama vektor (2)Exercise 6: Menghitung total kemenangan Exercise 7: Menghitung total kemenangan (2)Exercise 8: Menghitung total kemenangan (3)Exercise 9: Membandingkan total kemenangan Exercise 10: Seleksi vektor, saat-saat menyenangkan Exercise 11: Seleksi vektor: masa-masa menyenangkan (2)

Latihan Saat Ini

Exercise 12: Seleksi vektor: masa-masa menyenangkan (3)Exercise 13: Seleksi vektor: masa-masa indah (4)Exercise 14: Seleksi dengan perbandingan - Langkah 1 Exercise 15: Seleksi berdasarkan perbandingan - Langkah 2 Exercise 16: Seleksi lanjutan

In this chapter, you will learn how to work with matrices in R. By the end of the chapter, you will be able to create matrices and understand how to do basic computations with them. You will analyze the box office numbers of the Star Wars movies and learn how to use matrices in R. May the force be with you!

Exercise 1: What's a matrix?Exercise 2: Analyze matrices, you shall Exercise 3: Naming a matrix Exercise 4: Calculating the worldwide box office Exercise 5: Adding a column for the Worldwide box office Exercise 6: Adding a row Exercise 7: The total box office revenue for the entire saga Exercise 8: Selection of matrix elements Exercise 9: A little arithmetic with matrices Exercise 10: A little arithmetic with matrices (2)

Data often falls into a limited number of categories. For example, human hair color can be categorized as black, brown, blond, red, grey, or white—and perhaps a few more options for people who color their hair. In R, categorical data is stored in factors. Factors are very important in data analysis, so start learning how to create, subset, and compare them now.

Exercise 1: What's a factor and why would you use it?Exercise 2: What's a factor and why would you use it? (2)Exercise 3: What's a factor and why would you use it? (3)Exercise 4: Factor levels Exercise 5: Summarizing a factor Exercise 6: Battle of the sexes Exercise 7: Ordered factors Exercise 8: Ordered factors (2)Exercise 9: Comparing ordered factors

Most datasets you will be working with will be stored as data frames. By the end of this chapter, you will be able to create a data frame, select interesting parts of a data frame, and order a data frame according to certain variables.

Exercise 1: What's a data frame?Exercise 2: Quick, have a look at your dataset Exercise 3: Have a look at the structure Exercise 4: Creating a data frame Exercise 5: Creating a data frame (2)Exercise 6: Selection of data frame elements Exercise 7: Selection of data frame elements (2)Exercise 8: Only planets with rings Exercise 9: Only planets with rings (2)Exercise 10: Only planets with rings but shorter Exercise 11: Sorting Exercise 12: Sorting your data frame

As opposed to vectors, lists can hold components of different types, just as your to-do lists can contain different categories of tasks. This chapter will teach you how to create, name, and subset these lists.

Exercise 1: Lists, why would you need them?Exercise 2: Lists, why would you need them? (2)Exercise 3: Creating a list Exercise 4: Creating a named list Exercise 5: Creating a named list (2)Exercise 6: Selecting elements from a list Exercise 7: Creating a new list for another movie