R Programming for Data Science A comprehensive guide to R programming 2024
General:
Name: R Programming for Data Science A comprehensive guide to R programming 2024
Format: pdf
Size: 4.29 MB
Book:
Title: R Programming for Data Science: A comprehensive guide to R programming for data science
Author: Code, Et Tu
Language: polski
Year: 2026
Subjects: N/A
Publisher: Elsevier Science
ISBN: 9780443454585
Total pages: 235
Description:
A Comprehensive Guide to R Programming for Data Analytics provides a comprehensive presentation of univariate and multivariate statistical models within the general linear model and generalized linear model framework to analyze simple and complex data using R software. This book presents popular R packages that are used in data mining (e.g., caretclassification and regression, lubridatedates and times, stringR for string data) and visualization (e.g., ggplot, ggthemes, ggtext). The R packages used to analyze data using a particular statistical model are thoroughly explained through realworld and publicly available data sets. R codes are presented in a manner that helps readers understand the program code syntax. Examples of realworld data sets from a variety of academic disciplines are provided so that a wide audience can learn R programming to analyze data in their research. The book provides tips, recommendations, and strategies to troubleshoot common issues in R syntax, as well as definitions of key terms. Checkpoints are included to recap the concepts learned in each chapter. The book helps readers enhance their conceptual understanding and practical application of statistical models to realworld data sets, and enables readers to gain competency in R programming, which is an important skill in today’s datadriven market.
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