Module #2 Assignment

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.

1. 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.

• A corrected version of myMean that correctly returns the mean of assignment2.

Submission Checklist

• Downloaded Download Downloadedand reviewed the import instructions. 
  
  
• Blog post with test results, explanation, and corrected function code.
  
  
• GitHub repo updated with the blog link and corrected myMean function.
  
  
  https://github.com/cryo-cell/r-programming-assignments/blob/main/assignment2.Rmd 

Disclaimer:

Generative AI is integrated into my professional workflow for drafting, structural organization, and code optimization. To avoid redundancy, this statement serves as a standing disclaimer for all entries. Generative AI has been utilized to ensure technical accuracy and to facilitate the very documentation requirements mandated by the curriculum available within the course syllabus.