R for beginners from zero

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R for beginners from zero Cynthia SC (June 2nd, 2023) Member of Dr. Collado’s Team

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What is R? ● R is an open-source scripting language developed in 1993. ○ It's an alternative implementation of the S programming language (1976). ● The R environment is designed to perform complex statistical analysis and display results using visual graphics. ● The R is written in C, Fortran, and R itself. ○ Most R packages are written in the R itself, but heavy computational chucks are written in C, C++, and Fortran. ● R allows integration with Python, C, C++, .Net, and Fortran too. ● R is both a programming language and a software development environment.

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How to start with R? You need both R and RStudio.

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Do I need RStudio to interface with R? Do I need R to run code in RStudio? How can I run R code?

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Is RStudio the only IDE available for R? Key Features: ● User-friendly graphical user interface (GUI). ● Great for beginners learning the R programming language for the first time. ● Integrates well with other tools such as R Shiny, Add-ons, Git Version Control, and Rmarkdown. ● Has lots of developer support.

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Great support to produce a lot of graphs

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Installation Pre-requisites: ● R (4.2.3) or newer, latest is 4.3.0): https://cran.r-project.org/ ● RStudio Version 2023.03.1+446 "Cherry Blossom" Release (2023-05-09) for macOS https://rstudio.com/products/rstudio/download/#download In the server: R version 4.3.0 Patched (2023-05-31 r84480) -- "Already Tomorrow" In local: R version 4.2.3 (2023-03-15) -- "Shortstop Beagle" What about the versions and flavors in R? What about the versions and flavors in RStudio? In local: 2023.03.1 Build 446 Go to help menu and then to About RStudio

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EXPLORE the RStudio Integrated Development Environment (IDE)

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Let’s go to RStudio 1. RStudio integrative development environment 2. Basic data types and common operations 3. Matrix and dataframe data structures

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1. RStudio environment

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2. Basic data types and common operations

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3. Matrix and dataframe data structures

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Do you need help to start? You can request a Data Science guidance sessions (DSgs) with us! Here: https://lcolladotor.github.io/bioc_team_ds/data-science-guidance-sessions.html How? Scroll to the bottom of the page where the team member list is and request a particular 25 minute session, click on Calendly and any of us will get back to you ASAP. Looks like this:

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Learning Resources http://research.libd.org/rstatsclub/#.XpB1SNNKiL8 http://research.libd.org/rstatsclub/20 18/12/24/r_101/