Another great source is Cookbook for R, which is provided by the author of R Graphics Cookbook. If you are interested in learning more about ggplot2, I recommend first browsing Hadley Wickhmam's site dedicated to ggplot2. Some visualizations can even be interactive when you use the package Shiny. With more knowledge and time, you can customize your graphics even more to create better visualizations. Remember that the plots you just created are only basic plots. The attractive graphics produced with ggplot2 are a great way to visualize data and will be a valuable addition to reports, articles, or other documents. You also know a few ways to visualize the differences between groups of data, including faceting, stacking (with 'fill'), and grouping with colors, sizes, and shapes, and can polish your graphics by creating and replacing plot labels. Now, you should know how to create several types of basic plots using ggplot2 on RStudio: scatter plots, histograms, boxplots, bar plots, and stacked bar plots. You can find more by searching on Google.Īdditional time may be required if you need to troubleshoot or if you do any further exploration. Introduction to R - This can be pasted into an R script so that it is an 'interactive' tutorial.If you don't, here are some helpful introductions: You should know at least the basics of R programming. I recommend RStudio because its interface is much more user-friendly and appealing. R or RStudio, which you can download free from here (RStudio) or here (R) if you don't already have it. This Instructable will introduce how to produce high-quality and effective graphics to enhance your reports, web pages, or other documents with several types of 'quickplots' from the package ggplot2: scatter plots, histograms, box plots, bar plots, and stacked bar plots. Packages such as 'ggplot2' provide upgraded functions that make it easier to make attractive graphics so that even beginners have the ability to create appealing graphics with relative ease. In addition to exploring data and performing analyses, R/RStudio can create graphics using its default graphics capabilities. R/RStudio is a powerful free, open-source statistical software and programming language that is regarded as a standard in the statistics community.
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