Learning R: A Step-by-Step Function Guide to Data Analysis
Richie is a data scientist with a background in chemical health and safety. He has spent a significant amount of time developing tools that allow non-technical users to access statistical models. He created the R packages "assertive" for testing the status of your variables and "sig" for ensuring your functions have a logical API. He owns The Damned Liars statistics firm.
Even if you have no programming knowledge, you may learn how to perform data analysis using the R language and software environment. The tutorials in this hands-on book will teach you how to use the basic R tools you'll need to analyze data, such as data types and programming ideas. It is regarded as one of the best books on bioinformatics.
The second half of Learning R walks you through real-world data analysis, from importing data to publishing your findings. Each chapter closes with activities, the majority of which involve developing R code, and includes an exam on what you've learned.
- Create a basic R program to see what the language is capable of.
- Use vectors, arrays, lists, data frames, and strings as data types.
- Use branches and loops to execute code conditionally or repeatedly.
- Use R add-on packages and package your own work for others to use.
- Learn how to sanitize data imported from various sources.
- Visualization and summary statistics can help you understand data.
- Make quantitative judgments about data and forecasts using statistical models.
- Find out what to do if something goes wrong when writing data analysis code.
Author: Richard Cotton
Link to buy: https://www.amazon.com/Learning-Step-Step-Function-Analysis/dp/1449357105/
Ratings: 4.4 out of 5 stars (from 145 reviews)
Best Sellers Rank: #103,073 in Books
#6 in Bioinformatics (Books)
#34 in Mathematical & Statistical Software
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