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- Title: R for Time Series
- Author(s) Avril Coghlan
- Publisher: Self Publishing
- Paperback: N/A
- eBook: PDF
- Language: English
- ISBN-10: N/A
- ISBN-13: N/A
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Build efficient forecasting models using traditional time series models and machine learning algorithms. This book explores the basics of time series analysis with R and lays the foundations you need to build forecasting models.
About the AuthorsN/A
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Forecasting, Principles and Practice, Using R (R. J. Hyndman)
This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.
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Introduction to Time Series with Python (Sadrach Pierre)
Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning concepts. Perform time series analysis and forecasting confidently with Python.
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A First Course on Time Series Analysis with SAS (Michael Falk, et al)
A unique feature of this book is its integration with the statistical software package SAS® (Statistical Analysis System) computing environment. Basic applied statistics is assumed through multiple regression.
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R for Multivariate Analysis (Avril Coghlan)
This book explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software.
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Using R for Data Analysis and Graphics (J H Maindonald)
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R Graphics Cookbook: Practical Recipes for Visualizing Data
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R Programming for Data Science (Roger D. Peng)
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R for Data Science: Visualize, Model, Transform, Tidy, Import
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The main aim of this book is to help you climb the initial learning curve and provide you with the basic skills and experience (and confidence!) to enable you to further your experience in using R.
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Advanced R, Second Edition (Hadley Wickham)
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R Packages: Organize, Test, Document, and Share Your Code
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author's package development philosophy.
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Hands-On Programming with R: Functions and Simulations
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Advanced R (Florian Prive)
This book aims at giving a wide understanding of many aspects of R. Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality.
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