02-05-2023, 01:50 AM
How To Use R Programming for Research
Use R Programming for Scientific Research
Rating: 4.1 out of 5
(27 ratings)
9,306 students
1 hour on-demand video
2 articles
10 downloadable resources
2 coding exercises
Description
Learn R Programming for research by doing!
This tutorial is my experience of many years and tens of scientific research of using R for research. After every video, you learn a new valuable concept that you can apply right away in your research. Moreover, the best part is that you learn through real examples from different subjects of research.
It helps you not only be a good practitioner but offers you an opportunity for creativity in data processing, statistics, and graph creation in scientific research because it is based on programming which unlimited compared to software such as SPSS and Excel. The series includes types, manipulation, import, and export of data. In addition to descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It also familiarizes you with basic, advanced, and animated graphs. In addition to functions, packages, directories, and others.
https://www.udemy.com/course/r-for-research/?couponCode=960D2F332B3B9BFDA969
Enjoy!
Use R Programming for Scientific Research
Rating: 4.1 out of 5
(27 ratings)
9,306 students
1 hour on-demand video
2 articles
10 downloadable resources
2 coding exercises
Description
Learn R Programming for research by doing!
This tutorial is my experience of many years and tens of scientific research of using R for research. After every video, you learn a new valuable concept that you can apply right away in your research. Moreover, the best part is that you learn through real examples from different subjects of research.
It helps you not only be a good practitioner but offers you an opportunity for creativity in data processing, statistics, and graph creation in scientific research because it is based on programming which unlimited compared to software such as SPSS and Excel. The series includes types, manipulation, import, and export of data. In addition to descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It also familiarizes you with basic, advanced, and animated graphs. In addition to functions, packages, directories, and others.
https://www.udemy.com/course/r-for-research/?couponCode=960D2F332B3B9BFDA969
Enjoy!