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R with RStudio for Introductory Statistics by Ramon Hernandez
English | 2020 | ISBN: N/A | ASIN: B086SP79JD | 180 pages | EPUB | 2.51 Mb
This book, R with RStudio for Introductory Statistics, as the first part of a sequence, introduces the student to statistical computing using R as the language/application of choice. R has quickly become a top language for statistical computing, predictive analytics and data visualization. It is used extensively by statisticians, scientists, researchers and academics around the world.
No prior experience in programming or using R is assumed nor necessary. The instructions are written in a reader/learner-friendly, step-by-step, easy-to-follow manner, with many screen images that show the student what the results should look like on the actual program screen. This makes it easy for the student to follow along and to check for correct understanding of the material and methods every step of the way. The book is written in a down-to-earth conversational style that greatly simplifies the concepts encountered.
A bonus is that, not only is the student learning statistical computing, but, as the book progresses, Dr. Hernandez is also clearly explaining some of the more difficult concepts in introductory statistics.
This first part of the course takes the student through coding 1 + 1 = 2, to the basic methods of importing, cleaning, organizing, managing data, producing catchy, informational graphs and carrying out statistical methods and tests. After having acquired some measure of familiarity with R and its basic functions, the student is then introduced to RStudio in Chapter 4. All subsequent chapters and topics utilize RStudio as the GUI from which all the work is done.
Ramon Hernandez is a mathematician and computer scientist and has worked in the biomedical field, as a mathematics/statistics lecturer, and tertiary education institution mathematics department head. He is also a bio-statistical software package developer. He has spent a career sharing his knowledge with students from all walks of life and making statistics and statistical computing accessible to all. As a teacher, his clear explanation of complex mathematical and statistical concepts and his ability to bring those difficult concepts to a level that all could understand has been widely acclaimed. His online courses in statistics and mathematics have been well received and sought after.
This book is one of those that come from his collection of lecture notes and could take you, even if you are a raw beginner, and show you statistics and statistical computing with R and RStudio in such a way that you will be doing your own projects almost like an expert.
