Join Barton Poulson for an in-depth discussion in this video Comparing means with a one-factor analysis of variance (ANOVA), part of R Statistics Essential Training.
In the previous movies, we looked at how to use the t-test to compare the means…of either two different groups or the means…of the one group over two points in time.…In this movie, we're going to look at the one-way analysis of…variance or one-factor ANOVA, also an…extremely common measure in inferential statistics.…Like we did with the para t-test, we're going…to use some randomly generated data for this exercise.…What I'm going to do,…is I'm going to create four variables x1 through x4 and each one of…them will be sampled at random from…a normal distribution, that's the r norm function.…
I'm want to get 30 cases for each and I'm specifying…the means as 40, 41 and then two at 45.…And then the standard deviation is going to be 8, all the way across.…And so, there are differences. But they're small.…Now, I should mention that if you actually…calculated the one-way analysis of variance using…these summary values which you can do.…You would get this result an f of 3 and 116 degrees…of freedom is equal to 3.24 and a probability value of point 0.25.…
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 17s
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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 55s
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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: Comparing means with a one-factor analysis of variance (ANOVA)