Module #1

 My GitHub repository: elisah99/LIS4370 (github.com)

Comments

Post a Comment

Popular posts from this blog

Module #11 Assignment

 3/24/34 This week, we are tasked with debugging R code.  First, I copied the bugged code into RStudio in order to see the error it returns. I also installed and loaded the "outliers" package. I also ran debug(tukey_multiple): > debug(tukey_multiple) > tukey_multiple(x) debugging in: tukey_multiple(x) debug at #1: { outliers <- array(TRUE, dim = dim(x)) for (j in 1:ncol(x)) { outliers[, j] <- outliers[, j] && tukey.outlier(x[, j]) } outlier.vec <- vector(length = nrow(x)) for (i in 1:nrow(x)) { outlier.vec[i] <- all(outliers[i, ]) } return(outlier.vec) } Browse[2]> After further investigation, I found that the && operator is used when instead, & operator should be used. && only evaluates the second expression if the first one is true.
Read more

Module #7 Assignment

 For this assignment, I used the popular mtcars dataset for my analysis. My code is as follows: data("mtcars") head(mtcars) list(mtcars) #we can create generic functions for mtcars such as functions to find the  #mean or a function to create plots such as bar or scatter plots. #S3 method class(mtcars) summary.mtcars <- function(object, ...) {   summary(object) } summary(mtcars) #S3 methods can be applied #s4 method setClass("mtcarsClass", contains = "data.frame") mtcars_s4 <- new("mtcarsClass", mtcars) mtcars_s4 #S4 methods can be applied How do you tell what OO system (S3 vs. S4) an object is associated with? You can use the functions isS3method() and is4() How do you determine the base type (like integer or list) of an object? You can use the class function What is a generic function? A function that behaves according to the class it is applied to. What are the main differences between S3 and S4? S4 is more complex and structured than S3....
Read more

Module #9

Image
 3/10/2024 For this assignment, I chose a csv file containing data on cigarette consumption by state.  I first read in the data:  data <- read.csv ( "C: \\ Users \\ elisa_pazp940 \\ Downloads \\ CigarettesB.csv" ) head (data) ##   rownames   packs   price  income ## 1       AL 4.96213 0.20487 4.64039 ## 2       AZ 4.66312 0.16640 4.68389 ## 3       AR 5.10709 0.23406 4.59435 ## 4       CA 4.50449 0.36399 4.88147 ## 5       CT 4.66983 0.32149 5.09472 ## 6       DE 5.04705 0.21929 4.87087 Then created a bar plot that shows cigarette consumption across different states: # Bar plot: Cigarette packs consumption across different states barplot (data $ packs, names.arg = rownames (data), las = 2 , col = "skyblue" ,      ...
Read more