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Installing R and Setting-up a Local Directory with the ORC
Welcome to the ORC Speaker Series Workshop
“Moving From SPSS to R”, which consists of four sessions and will cover a wide range of basic knowledge of R. On Wednesday, January 26th, Aaron Bradetich will lead the first session titled “Installing R and Setting-up a Local Directory”, where you could grasp a general idea of R and corresponding software. Topics include the introduction of R, how to download and install R on different operating systems, and step-by-step guidance on setting up a local directory. The second session by Nino Kokiashvili will be launched on February 02nd, the topic of which is “Loading Data of Various Sources in R”. During this session, Nino will introduce the ways of importing and reading data in different formats (CSV, XLSX, TXT, etc.) and from other statistical platforms (SAS, SPSS, Excel, Stata, etc.). On February 09th, Franklin Lemons will lead the third session titled “Running Statistical Analyses Using R”. The speaker will guide you step by step on how to use R to conduct basic statistical analyses, such as central tendency, hypothesis testing, and regression. The last session, “Lifesaving Tips, Tricks, and Scripts for R”, led by Jaret Hodges, will be on February 16th, including summarizing useful tips, giving experience-based suggestions, and introducing basic scripts used in R.
Installing R and Setting-up a Local Directory
Learn to grasp a general idea of R and corresponding software. Topics for this workshop include the introduction of R, how to download and install R on different operating systems, and step-by-step guidance on setting up a local directory. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. RStudio Desktop provides a more friendly programming environment and is used in conjunction with R This training series provides a thorough introduction to R, with detailed instruction for installing and navigating R and RStudio and hands-on examples. Primarily focus is on common data science tools and techniques in R, including data anaysis, giving experience based suggestions. Participants will also learn to write simple functions that can be used to automate analyses and examine the use of R packages to expand R’s basic capabilities. The workshop is intended to provide both basic R programming knowledge and its application for increasing efficiency for data analysis.
PRESENTED BY: Aaron Bradetich
You can do it! Let's do it together.