Get access to all lessons in this course.
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Welcome
- Welcome to Inferential Statistics with R
- Introduction to the Dataset
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t-tests
- Independent t-test
- Dependent t-test
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One-Way ANOVA
- One-Way ANOVA
- Post Hoc Comparisons
- Other ANOVA Tests
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Chi-Square
- Chi-Square
- Dealing with Small Cells
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Correlation
- Correlation
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Regression
- Linear Regression
- Multiple Regression
- Hierarchical Regression
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Reliability
- Reliability
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Reporting Results
- Extracting Output
- Reporting Results
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Testing Assumptions
- Testing Assumptions
- Testing for Normality
- Testing for Homogeneity of Variance
- Violated Assumptions
Inferential Statistics with R
Introduction to the Dataset
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This lesson is called Introduction to the Dataset, part of the Inferential Statistics with R course. This lesson is called Introduction to the Dataset, part of the Inferential Statistics with R course.
Transcript
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Your Turn
You’ll be working with the college dataset to run all your analyses.
Create a new project. Make sure you put it somewhere you’ll be able to find it again later!
Download the dataset “college.csv” from https://bit.ly/college-dataset
Create a new R script file or RMarkdown document where you’ll do all of your inferential statistics. Alternatively, download the blank exercises document.
Import the spreadsheet into a dataframe
collegeusingreadr::read_csv()
Learn More
To learn more about the summarytools package, check out its vignette.
The grade_class variable in the dataset is not a factor, but could become one. To learn about factors, check out Chapter 15 of R for Data Science.
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Gaurav Gupta
October 15, 2021
Hi- the first two links in the 'Learn More' section don't work or exist anymore. Thanks, Gaurav
David Keyes
October 15, 2021
Thanks! I updated one deleted the other, which doesn't appear to exist anymore.
Gaurav Gupta
October 16, 2021
Thanks David- this package (summarytools) has turned out to be one of the most powerful tools I have ever used in R. I have been struggling with using 'weights' for analysing survey data in R and recently came across the 'pollster' package. summarytools can do far more than pollster can and brings R almost at par with what STATA in terms of comprehensive summary stats by with or without incorporating weights.
David Keyes
October 18, 2021
Glad it's so helpful!
Brenda Domeika Ponsot
July 14, 2022
Hello - library(summarytools) will not run for me. The error message: Error in library(summarytools) : there is no package called ‘summarytools’
David Keyes
July 14, 2022
Have you installed the summarytools package? If not, you'll need to do that first and then rerun your code.