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: Tuesday, 06 August 2024 @ 13:00

End: Tuesday, 06 August 2024 @ 16:00

Timezone: Sydney

 Country: Australia

Eligibility:
  • Host institutions

Organiser: Intersect Australia

Contact: training@intersect.org.au

Host institution: UNE

Exploring Chi-square and correlation in R at UNE Online https://dresa.org.au/events/exploring-chi-square-and-correlation-in-r-at-une-online-7cd7561f-20bb-4fac-8e78-140ab5513288 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](https://intersect.org.au/training/course/r101/), [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/) **For more information, please click [here](https://intersect.org.au/training/course/r210).** 2024-08-06 13:00:00 UTC 2024-08-06 16:00:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []