Join Barton Poulson for an in-depth discussion in this video Comparing means with an analysis of variance (ANOVA), part of Up and Running with R.
When you're looking at associations in your data, the final test that we want to…look at right now is comparing several groups on a single quantitative outcome.…If you're comparing just two, you would use a t-test, but when you have more…than two, you usually want to use an analysis of variance, or ANOVA instead.…For this example, I'm going to use the google_correlate data that we've used before.…I'm going to load it, and just get a list of the variable names.…The first test that I'm going to do is what's called a one way ANOVA.…That is where you're comparing several groups, but on a single factor.…
So, what I'm going to do here is I'm going to look at interest in data…visualization by region.…I have four regions.…The way I set this up is, first, I'm going to create a model here that I call anova1.…By the way, I'm using the assignment operator <- to save this.…The function is aov, for analysis of variance.…Then I specify the outcome variable, which is data_viz, and then the tilde; it…could be read as a function of, or as predicted by, region.…
The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.
- What is R?
- Installing R
- Creating bar character for categorical variables
- Building histograms
- Calculating frequencies and descriptives
- Computing new variables
- Creating scatterplots
- Comparing means
Skill Level Beginner
Managing and Analyzing Data in Excel 2010with Dennis Taylor1h 32m Appropriate for all
1. What is R?
R in context3m 35s
2. Getting Started
3. Charts and Statistics for One Variable
4. Modifying Data
5. Charts for Associations
6. Statistics for Associations
Next steps4m 11s
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