
R Programming
Andy Vickler
Book one:
R is an open-source statistical environment and programming language that has grown in popularity for data management and analysis in various industries. “R” Programming teaches you all the R you'll ever need in a rapid and painless...
Location:
United States
Description:
Book one: R is an open-source statistical environment and programming language that has grown in popularity for data management and analysis in various industries. “R” Programming teaches you all the R you'll ever need in a rapid and painless manner. R is becoming more well-known by the day, as large institutions embrace it as a standard. Its popularity stems partly from the fact that it is a free tool replacing expensive statistical software products that may take an undue amount of time to master. Furthermore, R allows a user to do complicated statistical analyses with only a few keystrokes, making advanced studies accessible and clear to a broad audience. The book is highly informative with lots of code. Following the book, you will be able to start Rstudio and use the program smoothly. Book two: Interested in statistical computing ? R Programming: Data Analysis and Statistics is a beginner-friendly book. It is written in an accessible way, and deal with the basics as well as more complex problems. This book may also help more advanced programmers expand their skills. Book three: This book is like a friend who advises and guides you on how to use the ggplot2 package for making data visualizations. With this book, you will learn how to get started with data visualization in R. You will learn basic concepts of graphics, and you will also learn how to perform statistical analyses. Think of R as a programming language that provides access to the power of machine learning and statistical computing. It's software used by statisticians and data scientists, with its capabilities in statistics, data visualization, machine learning, and more. Duration - 11h 48m. Author - Andy Vickler. Narrator - Helpful Matthew. Published Date - Thursday, 04 January 2024. Copyright - © 2022 Andy Vickler ©.
Language:
English
Opening Credits
Duration:00:00:15
Opening credits for r basics for beginners
Duration:00:00:09
Introduction
Duration:00:05:41
Chapter 1 getting started
Duration:00:12:49
Chapter 2 navigating rstudio
Duration:00:06:38
Chapter 3 your first lines of code
Duration:00:05:38
Chapter 4 operators and their types
Duration:00:25:36
Chapter 5 statistics in r
Duration:00:43:22
Chapter 6 control structure
Duration:00:23:34
Chapter 7 functions, strings and factors
Duration:00:20:56
Chapter 8 data frames
Duration:00:12:02
Chapter 9 working with data
Duration:00:31:19
Chapter 10 visualizing data
Duration:00:24:23
Conclusion
Duration:00:00:56
Closing credits for r basics for beginners
Duration:00:00:19
Opening credits for r data analysis and statistics
Duration:00:00:08
Chapter 1 r programming
Duration:00:16:04
Chapter 2 reproducible analysis in r
Duration:00:23:23
Chapter 3 r programming data manipulation
Duration:00:23:35
Chapter 4 r data visualization
Duration:00:13:14
Chapter 5 large datasets data analysis and statistics
Duration:00:09:08
Chapter 6 r supervised learning
Duration:00:14:07
Chapter 7 unsupervised learning
Duration:00:19:13
Chapter 8 expressions
Duration:00:25:48
Chapter 9 r programming – advanced
Duration:00:32:44
Chapter 10 object oriented programming
Duration:00:16:00
Chapter 11 building an r package
Duration:00:16:21
Chapter 12 testing
Duration:00:13:09
Chapter 13 version control
Duration:00:13:08
Chapter 14 r profiling
Duration:00:14:16
Closing credits for r data analysis and statistics
Duration:00:00:17
Opening credits for r data visualization
Duration:00:00:08
Chapter 1 introduction to r data visualization
Duration:00:31:11
Chapter 2 basic plotting with ggplot2
Duration:00:28:23
Chapter 3 advanced visualization with ggplot2
Duration:00:25:30
Chapter 4 statistical analysis in plotting and scatterplots with ggstatsplot (gggo)
Duration:00:27:19
Chapter 5 visualization and model interpretation
Duration:00:26:58
Chapter 6 external libraries
Duration:00:27:43
Chapter 7 self documenting code
Duration:00:22:59
Chapter 8 other r packages for data visualization and analysis
Duration:00:30:02
Closing credits for r data visualization
Duration:00:00:18
Ending Credits
Duration:00:00:26