Langues disponibles :
Daté : août 2023
Auteurs : Sam Dumble , Alex Thomson , Nicolas Greliche
This link provides direct access to the Statistical Analysis module from the Stats4SD Introduction to R and RStudio course.This module covers a wide range of statistical analysis methods and how to perform them in R, this includes;Hypothesis testing including t-tests, chi-square tests and their non-parametric equivalentsLinear regression modelling (Simple and multiple)Analysis of variance (ANOVA)Logistic regression modelling for binary dataGeneralised linear modelling for experimental data
Les éléments individuels de la collection sont listés ci-dessous. Cliquez sur l’un d’eux pour télécharger le fichier ou accéder à l’URL externe. Vous pouvez télécharger l’ensemble complet ci-dessous sous forme de fichier .zip.
ANOVA and GLM Exercises
https://shiny.stats4sd.org/RCourse_revamp_Stats_ex2__2023
Programme d’études
Introduction to R and RStudio Course - Data Visualisation with ggplot2
Below you can find links to all 4 workbooks associated with the data visualisation with ggplot2 module from th...
Programme d’études
Introduction to R and RStudio Course - Data Manipulation
This link provides direct access to the Data Manipulation module from the Stats4SD Introduction to R and RStud...
Programme d’études
Introduction to R and RStudio Course - Working with RStudio
This link provides direct access to the Working with RStudio module from the Stats4SD Introduction to R and RS...
Programme d’études
Introduction to R and RStudio Course - Data Management
This link provides direct access to the Data Management module from the Stats4SD Introduction to R and RStudio...