Advanced Statistics and Analysis using R Blog

 1/23/25 Today I was presented with my first homework problem involving R. I was intimidated at first, but after reading the assigned chapters in the textbook I started to get a hold of what was being asked. My approach was to first read the assignment, then to study and practice the new codes/functions in R. After I was familiar with R and Rstudio, I proceeded to start with the homework which was the following:  Your assignment, evaluate the following function call   myMean . The data for this function called   assignment . The assignment contains the following data:   6 ,   18 ,   14 ,   22 ,   27 ,   17 ,   19 ,   22 ,   20 ,   22   >   assignment2<- c(6,18,14,22,27,17,22,20,22) >  myMean <- function(assignment2) {return(sum(assignment2)/length(assignment2))} Post the result on your blog, and describe what the function called assignment2 does?  The results are as seen:  Fir...

 1/16/25 Today I downloaded R and RStudio to my laptop. I am a little nervous to begin working with R, as I have never worked with this language before. Downloading the two were pretty easy, and I am eager to begin using the platform and language. After reading the syllabus, I understand this class will be rigorous but I will definitely learn a lot of practical information for data science. The meaning behind the term statistics is the examination of data and numbers in order to understand it. Statistics involves manipulation of this data, in order to find patterns within it and make inferences. Analytics utilizes statistical methods to recognize these patterns within large sets of data. Analytics are usually used for actionable strategies and decisions to optimize companies, employees, trends, profits, etc.   R programming language is a programming language where one can "preform statistical analysis and produce graphics (Dalgaard 2). It is a very flexible program that allows...