Can you think of ways in which we can extract a few attributes (columns) and observations (rows) based on a certain condition?
Dataset - El Nino dataset from UCI KDD (https://kdd.ics.uci.edu/databases/el_nino/el_nino.html)
Filter for latitude and longitude with humidity > 88% and air temperature < 25.5 degree Celsius
10,000 iterations for evaluating each expression
Can we add multiple arguments within a function in the
apply
family? If yes, what is the syntax for assigning multiple arguments?A general notion states that
for
loops are slower than theapply
functions. Is it true or false? If false, what are the conditions in which the notion gets negated?Define ADT for calculating the area of any geometrical object, such as a circle, square, and so on.
R Data Structures and Algorithms
By :
R Data Structures and Algorithms
By:
Overview of this book
In this book, we cover not only classical data structures, but also functional data structures.
We begin by answering the fundamental question: why data structures? We then move on to cover the relationship
between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth.
Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors.
With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort.
Table of Contents (17 chapters)
R Data Structures and Algorithms
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Getting Started
Algorithm Analysis
Linked Lists
Stacks and Queues
Sorting Algorithms
Exploring Search Options
Graphs
Programming and Randomized Algorithms
Functional Data Structures
Customer Reviews