Installing R and Setting-up a Local Directory with the ORC

Welcome to the ORC Speaker Series 

On Wednesday, September 14, the Installing R and Setting-up a Local Directory workshop, led by Mehri Mirzaeirafe, helps you grasp the 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. In the second session on September 21, Xiaolu Fan introduces ways of importing and reading data in different file formats like CSV, XLSX, or TXT in the Loading Data of Various Sources in R workshop. We will also cover importing data from other statistical platforms like SAS, SPSS, Excel, or Stata. On September 28, Christal- Joy Turner will lead the third session, 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 is led by Nino Kokiashvili on October 5. Lifesaving Tips, Tricks, and Scripts for R highlights a few useful tips, gives experience-based suggestions, and introduces the 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 analysis, and 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 the efficiency of data analysis.

PRESENTED BY: Mehri Mirzaeirafe 

Register Here

You can do it! Let's do it together.

Event Link: 
https://coe.unt.edu/research/research-consulting
Contact Name: 
UNT Office of Research Consulting
Contact Email: 
COE-ORC@unt.edu
Contact Phone: 
940-565-4414
Event Date: 
Wednesday, September 14, 2022 - 4:00pm
Event Location: 
Matthews Hall 310