Price: $31.99
(as of Jan 18,2025 12:08:16 UTC – Details)
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Publisher : No Starch Press; 1st edition (October 15, 2011)
Language : English
Paperback : 404 pages
ISBN-10 : 1593273843
ISBN-13 : 978-1593273842
Item Weight : 1.66 pounds
Dimensions : 8.5 x 0.91 x 11 inches
Customers say
Customers find the book a good introduction to programming in R. They appreciate the clear style and build time, with topics progressing quickly. However, some readers feel the book lacks data sets for the examples. There are mixed opinions on the organization, with some finding it well-structured and organized, while others consider it disorganized and lacking depth.
AI-generated from the text of customer reviews
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Are you interested in learning more about R programming and its use in statistical software design? In this post, we will take a tour of the art of R programming and explore its various features and capabilities.
R is a powerful programming language and software environment for statistical computing and graphics. It is widely used by statisticians, data analysts, and researchers for data analysis, visualization, and modeling. With its extensive library of packages and functions, R provides a flexible and versatile platform for exploring and analyzing data.
One of the key features of R is its ability to handle large datasets and perform complex statistical analyses. Whether you are working with simple data sets or conducting advanced statistical modeling, R offers a wide range of tools and techniques to help you achieve your goals.
In addition to its statistical capabilities, R also excels in data visualization. With its powerful graphics capabilities, you can create a wide variety of plots and charts to explore and communicate your data effectively.
Overall, the art of R programming lies in its combination of flexibility, power, and ease of use. Whether you are a beginner or an experienced programmer, R offers a rich set of tools and resources to help you tackle any data analysis challenge.
So, if you are looking to enhance your skills in statistical software design, consider exploring the world of R programming. You may be surprised at the depth and breadth of capabilities that R has to offer.
#Art #Programming #Tour #Statistical #Software #Design,machine learning: an applied mathematics introduction
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