LIS4370.001S26.15220 R Programming

Evaluating A Function  VaShay M. Carpenter Objectives Learn how to import data into RStudio. Review foundational R programming concepts and  GitHub workflows . Practice function debugging and evaluation in R. Evaluate  myMean  Function Use the vector: assignment2 <- c(16, 18, 14, 22, 27, 17, 19, 17, 17, 22, 20, 22) Consider this function: myMean <- function(assignment2) { return(sum(assignment) / length(someData)) } In RStudio, run  myMean(assignment2)  and record the output or error. On both your blog and GitHub repository, post: The result or error message from testing  myMean . An explanation of why the function fails or succeeds (hint: variable names). A good function should take an input x, process x, and return a result like a "black  box". If your function is looking for a specific name like assignment2 but that  variable name isn't defined inside the function's local scope, it will break or  produce unpredictable results....

  Objectives Set up your  GitHub Links to an external site.  and blog accounts. Install R and  RStudio Links to an external site. . Begin reading foundational chapters on R basics. Tasks Create a GitHub Repository ✅ Go to  github.com Links to an external site.  and sign up (or log in). Create a new  public  repository named  r‑programming-assignments . In your repository’s  README.md , include: ✅ Your name Course number (e.g., LIS4370) Brief description (“Repository for R Programming Assignments”) https://github.com/cryo-cell/r-programming-assignments  Set Up a Blog Choose one platform: Blogger Links to an external site. WordPress Links to an external site. Or any other blog services Create your blog and title it “R Programming Journal – <Your Name>”. On Canvas, post the URL of your blog in the “Assignment #1” submission area. https://rstue.blogspot.com/  Install R and RStudio Download R from  cran.r-project.org...