Description:
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.
Start: Thursday, 04 July 2024 @ 09:30
End: Thursday, 04 July 2024 @ 12:45
Timezone: Sydney
Country: Australia
Eligibility:- Host institutions
Organiser: Intersect Australia
Contact: training@intersect.org.au
Host institution: UC