How To Use R for Research

By doing so, you may learn R programming for research.

This video is based on my many years of experience using R for research and dozens of scientific studies. After each video, you’ll discover a new topic that you can immediately apply to your studies. Furthermore, the best aspect is that you learn through real-life examples from many fields of study.

It not only helps you become a better practitioner, but it also allows you to be more creative in data processing, statistics, and graph generation in scientific research since it is based on programming, which gives you more freedom than tools like SPSS and Excel. Data types, manipulation, import, and export are all covered in this series. Relationships, multicorrelation, ANOVA, and t-tests are examples of descriptive statistics. It also teaches you how to read and understand basic, advanced, and animated graphs. In addition to functions, packages, and directories, there are a variety of additional things to consider.

At the conclusion of the course, you will be able to do the following:

R is used to creatively handle data, run statistics, and create graphs in research.

Data manipulation, import, and export are all possible.

For scientific studies, use R to do descriptive statistics, relationships, multi-correlation, ANOVA, and t-tests.

Using R programs, you will be able to create simple, sophisticated, and animated graphs.

Learn how to conduct scientific research with R Studio.