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Updating overview
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editing for demotivating language
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sstevens2 authored Dec 4, 2023
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**Welcome to R!** Working with a programming language (especially if it's your
first time) often feels intimidating, but the rewards outweigh any frustrations.
first time) often feels intimidating, but the rewards will eventually outweigh any frustrations.
An important secret of coding is that even experienced programmers find it
difficult and frustrating at times – so if even the best feel that way, why let
intimidation stop you? Given time and practice\* you will soon find it easier
difficult and frustrating at times – so if even the best feel that way, try not to let
intimidation stop you. Given time and practice\* you will soon find it easier
and easier to accomplish what you want.

Why learn to code? Bioinformatics – like biology – is messy. Different
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R is one of the most widely-used and powerful programming languages in
bioinformatics. R especially shines where a variety of statistical tools are
required (e.g. RNA-Seq, population genomics, etc.) and in the generation of
publication-quality graphs and figures. Rather than get into an R vs. Python
debate (both are useful), keep in mind that many of the concepts you will learn
publication-quality graphs and figures. Many researchers at this point ask,
Should I learn R or python?". In this lesson we will teach R, but
keep in mind that many of the concepts you will learn
apply to Python and other programming languages.

Finally, we won't lie; R is not the easiest-to-learn programming language ever
created. So, don't get discouraged! The truth is that even with the modest
R is can be difficult for some to learn.
However, don't get discouraged! The truth is that even with the modest
amount of R we will cover today, you can start using some sophisticated R
software packages, and have a general sense of how to interpret an R script.
Get through these lessons, and you are on your way to being an accomplished R
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