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Introductory Time Series with R (Use R!)
Price: $59.99 – $37.65
(as of Jan 22,2025 14:43:14 UTC – Details)
Publisher : Springer; 2009th edition (June 9, 2009)
Language : English
Paperback : 272 pages
ISBN-10 : 0387886974
ISBN-13 : 978-0387886978
Item Weight : 2.31 pounds
Dimensions : 6.1 x 0.62 x 9.25 inches
Customers say
Customers find the book readable and suitable for R users. However, some feel it’s not worth purchasing, as it lacks depth and spends too much time on results before ARIMA type models. Opinions differ on the introduction, with some finding it informative and useful, while others say it lacks sufficient information for analyses. There are also mixed reviews regarding the depth of the content, with some finding it thorough and appropriate for each topic, while others feel it lacks depth and is shallow.
AI-generated from the text of customer reviews
Are you interested in learning about time series analysis using R? Look no further! In this post, we will delve into the basics of time series analysis using the powerful programming language R.
Time series analysis is a crucial tool in understanding and predicting trends in data that changes over time. Whether you are working with financial data, weather patterns, or any other time-dependent data, mastering time series analysis can give you valuable insights.
R is a popular programming language among data scientists and statisticians for its robust packages and libraries designed specifically for time series analysis. In this post, we will take you through the fundamentals of time series analysis in R, covering topics such as data visualization, trend analysis, seasonality, and forecasting.
So, if you are ready to dive into the world of time series analysis with R, stay tuned for our upcoming posts where we will explore this exciting field in more detail. Get your RStudio ready and let’s start analyzing some time series data!
#Introductory #Time #Series,machine learning: an applied mathematics introduction
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