![]() We will get you to expect that programming languages also have words (called functions in R) for concepts as well. So if you’re learning Spanish, you could expect there is a word for this concept of a first meal. For example: you have a concept that there is a first meal of the day, and there is a name for that: in English it’s “breakfast”. While language is a familiar concept, programming languages are in a different context from spoken languages, but you will get to know this context with time. And just like any form of communication, there will be miscommunications that can be frustrating, but hands down we are all better off because of it. And no matter how fluent you are, you’ll always be learning, you’ll be trying things in new contexts, learning words that mean the same as others, etc, just like everybody else. We all speak at least one language it’s a similar process, really. It’s an ongoing process, it takes time, you’ll make mistakes, it can be frustrating, but it will be overwhelmingly awesome in the long run. Something else to start us off is to mention that you are learning a new language here. ![]() We are going to take advantage of the great RStudio support, and learn R and RStudio together. So although you can prepare food without a kitchen and we could learn R without RStudio, that’s not what we’re going to do. It’s also data science philosophy, R packages, community, and more. So it’s not just the infrastructure (the user interface or IDE), although it is a great way to learn and interact with your variables, files, and interact directly with git. RStudio makes your life as a researcher easier by bringing together other tools you need to do your work efficiently - like a file browser, data viewer, help pages, terminal, community, support, the list goes on. RStudio provides a place to do your work! Other tools, communication, community, it makes your life as a chef easier. You have food to prepare, and the knife is one of the tools that you’ll use to accomplish your task.Īnd if R were a knife, RStudio is the kitchen. So what is the difference between R and RStudio? Here is an analogy to start us off. R is a great language to learn for data-oriented programming because it is widely adopted, user-friendly, and (most importantly) open source! In this course, we will use the programming language R, and the accompanying integrated development environment (IDE) RStudio. Incorporating programming into analysis workflows not only makes science more efficient, but also more computationally reproducible. The changing landscape of programming is making learning how to code easier than it ever has been. There is a vibrant community out there that is collectively developing increasingly easy to use and powerful open source programming tools.
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