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.
Licence: All Rights Reserved
Contact: training@intersect.org.au
Keywords: Programming, R
Additional information
Status: Active
Exploring Chi-square and correlation in R
https://intersect.org.au/training/course/r210
https://dresa.org.au/materials/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](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).**
training@intersect.org.au
Programming, R