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Tag Archives: descriptive statistics
Study design courses that you can access online will hand you a framework for research design, so you can develop useful analyses that guide you toward actionable goals.
Confidence intervals (CIs) help you get a solid estimate for the true population measure. Read my blog and try my CI calculator!
Chi-square test is hard to grasp – but doing it in Microsoft Excel can give you special insight. Read about it on my blog!
Adding error bars to ggplot2 in R plots is easiest if you include the width of the error bar as a variable in your plot data. Read my blog post to see an example.
Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.






