R Basics: Math, Vectors, Variables, and Assignment; Learn R Video 1 скачать в хорошем качестве

R Basics: Math, Vectors, Variables, and Assignment; Learn R Video 1

Do you want to learn to program in R? If you're a beginner, you're in the right place! This is the first video in an introductory series that will teach you to program and analyze data in R. This series of videos is suitable for beginners or experienced programmers or data analysts who want to learn R. This video covers some basic data types, variables, and math operations in R. Let's have some fun learning to program with R! The auto-graded exercises that go with this video can be downloaded here: https://github.com/ProfessorBurke/REx... (Read the readme file and then download or fork the Video1-basics folder to use in RStudio.) Do you want a great book to go along with these videos? You might find it helpful to read chapters 1 and 2 of Introduction to Data Science: Data Analysis and Prediction Algorithms with R by Rafael A. Irizarry: http://rafalab.dfci.harvard.edu/dsbook/ Download and install R: https://www.r-project.org/ Download and install RStudio: https://posit.co/downloads/ Hadley Wickham's R style guide: http://adv-r.had.co.nz/Style.html Data that is used in this video is from: Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, and Raymond Perrault, “The AI Index 2022 Annual Report,” AI Index Steering Committee, Stanford Institute for Human-Centered AI, Stanford University, March 2022. Retrieved from https://ourworldindata.org/artificial... The github repository with all of the code examples for these introductory R videos is here: https://github.com/ProfessorBurke/REx...