By Mladen Jovanovic on 02/01/2022
R language has rich features for writing, calling, and utilizing functions. I have divided this lecture into four videos covering a wide range of functions fundamentals – from function components to writing infix functions.
By Mladen Jovanovic on 18/11/2021
In this lecture, I will show you how you can control the flow of the R program using choices and loops. Loops should be generally avoided in R since they can be slow. It is crucial to understand them because sometimes they can not be avoided.
By Mladen Jovanovic on 05/11/2021
In this lecture, I will explain to you how subsetting works, how you can replace (i.e., assign) parts of the object, remove parts, append objects, order, and filter. These operations are one of the most important ones in any analysis that you might perform later.
By Mladen Jovanovic on 27/10/2021
In this lecture, I will provide you with a must-needed knowledge of understanding the R objects with special attention to the vectors.
By Mladen Jovanovic on 11/10/2021
In this lecture, I will show you how to install R and R Studio. In addition to these, I will explain how to install packages both from CRAN and Github repositories.
By Mladen Jovanovic on 01/10/2021
In this lecture, I will go over a course outline, explain why you need to learn R, how to learn it, and where to find more information once this course is done.
By Mladen Jovanovic on 29/09/2021
This course will give you the essential knowledge that will allow you to start coding in R and embrace the R journey much more quickly. So, grab a coffee, and let’s do this first step of the thousand miles journey together!
By Mladen Jovanovic on 30/05/2021
In this lesson, I will show you how easily you can create the calendar heatmaps using the athletemonitoring package with only a few lines of code.
By Mladen Jovanovic on 20/05/2021
In this video, I will teach you how you can use the AthleteSR body diagram to visualize and analyze the monitoring data. I want to thank Jose Fernandez for making this possible by creating polygon data for the AthleteSR body diagram and providing a sample code for the visualization.
By Mladen Jovanovic on 17/03/2021
In this video, I am explaining how the dorem package works and I am also preparing our data sets (i.e., training load and wellness) to be used in mapping training load to sleep quality.