Week 12 Assignment – 100 points Objective: Using Logistic Regression to handle a binary outcome. Given the prostate cancer dataset, in which biopsy results are given for 97 men: • You are to predict tumor spread in this dataset of 97 men who had undergone a biopsy. • The measures to be used for prediction are: age, lbph, lcp, gleason, and lpsa. This implies that binary dependent variable of lcavol will be the outcome variable. We start by loading the appropriate libraries in R: ROCR, ggplot2, and aod packages as follows: > install.packages(“ROCR”) > install.packages(“ggplot2”) > install.packages(“aod”) > library(ROCR) > library(ggplot2) > library(aod) Next, we load the csv file and check the statistical properties of the csv File as follow: > setwd(“C:/RData”) # your working directory > tumor <- read.csv("prostate.csv") # loading the file > str(tumor) # check the properties of the file . . . continue from here! Reference R Documentation (2016). Prostate cancer data. Retrieved from http://rafalab.github.io/pages/649/prostate.html

Looking for solution of this Assignment?

WHY CHOOSE US?

We deliver quality original papers

Our experts write quality original papers using academic databases.  

Free revisions

We offer our clients multiple free revisions just to ensure you get what you want.

Discounted prices

All our prices are discounted which makes it affordable to you. Use code FIRST15 to get your discount

100% originality

We deliver papers that are written from scratch to deliver 100% originality. Our papers are free from plagiarism and NO similarity

On-time delivery

We will deliver your paper on time even on short notice or  short deadline, overnight essay or even an urgent essay