Exploring Chi-square and correlation in R

This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson's r, Spearman's Rho and Kendall’s tau) in real world datasets.

You'll learn:

• Obtain inferential statistics and assess data normality
• Manipulate data and create graphs
• Perform Chi-Square tests (Goodness of Fit test and Test of Independence)
• Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau)

Prerequisites:

This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package).

Please consider attending Intersect’s following courses to get up to speed: Learn to Program: R, Data Manipulation and Visualisation in R

For more information, please click here.