Lecture

Model Formulas in R: Basics and Applications

Related lectures (51)
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Programming for Engineers
Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
ANOVA & Moderation
Covers ANOVA, mediation, and moderation analyses in R for CS-411 Digital Education.
Introduction to LabVIEW
Covers the basics of LabVIEW, including its importance, history, functions, and tools available.
Survival Analysis: Cox Proportional Hazards Model
Introduces the Cox proportional hazards model for survival analysis, covering estimation, assessment of assumptions, and interpretation using residuals.
Qualitative Factors in Workshop Optimization
Covers the optimization of a workshop through qualitative factors analysis and modeling.
Introduction to R Programming for Genetics & Genomics
Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.
Quantum Chemistry
Covers topics related to Quantum Chemistry, including bond orders and molecular structures.
Binomial Distribution in R
Introduces the Binomial distribution in R with examples of n coin tosses.
Experimental Design in Genomic Data Analysis
Emphasizes experimental design in genomic data analysis, addressing technical variability, batch effects, and statistical solutions.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.