Write the following data structures in R: Vectors, Matrices, Arrays, Lists, and Data Frames. Access R Studio. Then, demonstrate how to work with each data structure as outlined below. Vectors Create a vector as a sequence of number 1-15. Create a vector as a sequence of numbers 1-15 that increment by 0.1. Demonstrate how missing data is represented as NA in vectors (use the na() and anyNA() functions). Utilize the conversion between modes "coercion" in R to perform an "implicit coercion" on the following: a) xx ß p(2.5, "g"), b) xx ß p(TRUE, 4) and c) xx ß p("g", TRUE). Control how vectors are coerced explicitly using the as.() functions (numeric and character). Matrices Create a column-wise 5 x 8 matrix. Check that the matrices are vectors with a class attribute of matrix by using class() and tyepof(). Create a matrix by transforming a 5 x 8 vector into a matrix. Arrays Create an array of movies that contains the Top 10 movies of 2020. Lists Construct a list of 10 cars (make, model, year, mpg). Data Frames Create a data frame of all 26 letters of the alphabet with the following information (id = letters[1:26], x = 1:26, y = 27:52).
Write the following data structures in R: Vectors, Matrices, Arrays, Lists, and Data Frames. Access R Studio. Then, demonstrate how to work with each data structure as outlined below. Vectors Create a vector as a sequence of number 1-15. Create a vector as a sequence of numbers 1-15 that increment by 0.1. Demonstrate how missing data is represented as NA in vectors (use the na() and anyNA() functions). Utilize the conversion between modes "coercion" in R to perform an "implicit coercion" on the following: a) xx ß p(2.5, "g"), b) xx ß p(TRUE, 4) and c) xx ß p("g", TRUE). Control how vectors are coerced explicitly using the as.() functions (numeric and character). Matrices Create a column-wise 5 x 8 matrix. Check that the matrices are vectors with a class attribute of matrix by using class() and tyepof(). Create a matrix by transforming a 5 x 8 vector into a matrix. Arrays Create an array of movies that contains the Top 10 movies of 2020. Lists Construct a list of 10 cars (make, model, year, mpg). Data Frames Create a data frame of all 26 letters of the alphabet with the following information (id = letters[1:26], x = 1:26, y = 27:52).
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
Write the following data structures in R:
Access R Studio. Then, demonstrate how to work with each data structure as outlined below.
Vectors
- Create a vector as a sequence of number 1-15.
- Create a vector as a sequence of numbers 1-15 that increment by 0.1.
- Demonstrate how missing data is represented as NA in vectors (use the na() and anyNA() functions).
- Utilize the conversion between modes "coercion" in R to perform an "implicit coercion" on the following: a) xx ß p(2.5, "g"), b) xx ß p(TRUE, 4) and c) xx ß p("g", TRUE).
- Control how vectors are coerced explicitly using the as.<class_name>() functions (numeric and character).
Matrices
- Create a column-wise 5 x 8 matrix.
- Check that the matrices are vectors with a class attribute of matrix by using class() and tyepof().
- Create a matrix by transforming a 5 x 8 vector into a matrix.
Arrays
- Create an array of movies that contains the Top 10 movies of 2020.
Lists
- Construct a list of 10 cars (make, model, year, mpg).
Data Frames
- Create a data frame of all 26 letters of the alphabet with the following information (id = letters[1:26], x = 1:26, y = 27:52).
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