Join Barton Poulson for an in-depth discussion in this video Transforming variables, part of R Statistics Essential Training.
In the previous movie I showed you how to deal with deviations from normality.…Specifically without liars.…Mostly by deleting them.…On the other hand, sometimes you just can't afford…to get rid of your data and you want to…find other ways of keeping the data but bringing it…in to a shape that works better for your analyses.…This movie is going to show you several different…ways of transforming variables, so you don't lose any cases.…But the data is changed in such a way, that it fits…in better with the assumptions of…the analysis that you're going to be performing.…
We're going to start by loading one of the built in data sets.…If you don't have the data sets package loaded already, you can do this.…And we're going to use the one about islands.…This is the areas in thousands of square miles…of the land masses which exceed 10,000 square miles.…And so, we have the areas of the world's major land masses.…If you…want to see what they are, by the way, here they all are.…Iceland is in there.…There's Africa and Antarctica and Asia. Down to Victoria.…
Author
Barton Poulson
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.
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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: Transforming variables