Introduction to R and RStudio Course - Statistical Analysis
Available Languages:
Available Languages:
Dated: August 2023
Authors: 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
The individual components of the trove are listed below. Click on one to download the file or go to the external url. You can download the full trove below as a .zip file.
ANOVA and GLM Exercises
https://shiny.stats4sd.org/RCourse_revamp_Stats_ex2__2023
Curricula / Training Course
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...
Curricula / Training Course
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...
Curricula / Training Course
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...
Curricula / Training Course
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...