INTRODUCTION TO R BASICS / WORKING WITH VECTORS AND DATA FRAMES - Series - 09

 

INTRODUCTION TO R BASICS

 

1. What makes R a widely used programming language for statistical computing and data analysis?

R is widely used due to its strong statistical capabilities, extensive library of packages, flexibility, and user-friendly interface, which enable users to manipulate, analyze, and visualize data efficiently.

 

 

2. What are the primary components of R code, and why are they important?

The primary components of R code include variables (used to store values), functions (reusable blocks of code that perform specific tasks), and comments (used to explain and document the code). These components help in writing clean and efficient R programs.

 

 

3. How do vectors and matrices differ in R?

Vectors are one-dimensional arrays that hold multiple values of the same data type, while matrices are two-dimensional data structures that store data in rows and columns, allowing for more complex data analysis tasks.

 

WORKING WITH VECTORS AND DATA FRAMES

 

4. What is a vector in R, and what are its key characteristics?

A vector in R is a one-dimensional data structure that stores elements of the same data type. Its key characteristics include homogeneity (all elements must be of the same type), 1-based indexing, flexible creation using functions like c(), seq(), and rep(), and support for efficient element-wise operations.

 

 

5. How does vector recycling work in R?

Vector recycling occurs when performing operations on vectors of different lengths. R automatically repeats the elements of the shorter vector to match the length of the longer vector. If the longer vector's length is not a multiple of the shorter one, R issues a warning.

 

 

6. What are the key features of a data frame in R?

A data frame in R is a two-dimensional structure similar to a table. Its key features include the ability to store heterogeneous data types, named columns, row and column indexing, resemblance to a table for intuitive use, and dynamic resizing by adding or removing rows and columns.

.........................To be continued

 

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