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Congratulations! You have just embarked on a journey into the world of data analysis in R. Here are some resources and other courses that can help you further develop your R skills.
If you're interested in taking a longer, more comprehensive course on R, the CRUK CI Bioinformatics team have taught on these two courses:
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Developed by the CRUK CI Bioinformatics Core and run for around 100 CRUK CI scientists during the first COVID-19 lockdown
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In 6 parts run over several weeks with weekly assignments
Introduction to R for Biologists
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Run several times a year at the University of Cambridge Bioinformatics Training Facility
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Two day course run either online or in person at the Craik-Marshall building on the Downing site
- Really excellent book that you can purchase, but which is available for free online, by the principal developer of ggplot2 and the tidyverse
Want to see more of what you can achieve in ggplot2 and find out how to recreate many different types of plot? The R-Graph gallery is the place to go. Choose a plot that interests you to enlarge it and to display the code that created it. You can use that as a basis for the code for your plot.
This R-bloggers site has a wide collection of articles and tutorials, for example:
Another useful resource is rpubs.com. This is a place where people can publish R code, for example the following machine learning article: