If your data includes 2 categorical variables, the most common test for…that association is going to be the Chi Squared test for Independence.…Also just sometimes called Crosstabs.…We're going to be doing the Chi Squared…test for Crosstabs with categorical variables, here.…Let me use a dataset that is NR about the Titanic.…You can call it up right here, it's about survival of passengers on the Titanic.…And it's based on the class, first, second, third class or…crew, sex, age, and whether they survived or not.…
We can get the structure by seeing that it's a table with 4 dimensions.…You want to see the actual table itself, we can just type in Titanic.…And there you have it.…You can also convert this to what's called a flat table.…We are not going to be using that but this is what a flat table looks like.…Its a much more condensed approach.…But for doing analyses, we're going to have to convert…the table to a data frame worth one row per observation.…We talked about this in a separate movie.…It's a rather long line of code.…
Author
Released
9/26/2013- Installing R on your computer
- Using the built-in datasets
- Importing data
- Creating bar and pie charts for categorical variables
- Creating histograms and box plots for quantitative variables
- Calculating frequencies and descriptives
- Transforming variables
- Coding missing data
- Analyzing by subgroups
- Creating charts for associations
- Calculating correlations
- Creating charts and statistics for three or more variables
- Creating crosstabs for categorical variables
Skill Level Intermediate
Duration
Views
Q: The R files within Chapters 01 to 10 don't appear to have any code in them. Where is the final code for each file?
A: Look in the "final" folder for each video. These folders contains the final R code written by the author.
Related Courses
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Introduction
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Welcome58s
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1. Getting Started
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Using RStudio4m 36s
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Installing and managing packages11m 16s
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Using built-in datasets in R5m 27s
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Entering data manually4m 37s
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Importing data8m 53s
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Working with color in R10m 18s
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2. Charts for One Variable
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Overlaying plots7m 25s
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Saving images5m 34s
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Solution: Layering plots2m 22s
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3. Statistics for One Variable
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Calculating frequencies3m 33s
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Calculating descriptives5m 43s
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4. Modifying Data
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Examining outliers6m 42s
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Transforming variables9m 26s
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Coding missing data6m 4s
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5. Working with the Data File
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Selecting cases5m 30s
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Analyzing by subgroup3m 14s
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Merging files5m 16s
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6. Charts for Associations
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Creating scatter plots5m 2s
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7. Statistics for Associations
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Calculating correlation3m 54s
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Comparing proportions3m 34s
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8. Charts for Three or More Variables
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Creating 3D scatter plots5m 13s
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9. Statistics for Three or More Variables
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Conducting a cluster analysis14m 14s
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Conclusion
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Next steps3m 40s
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Video: Creating cross tabs for categorical variables