Publications by Lorraine Gaudio
Final Study Guide: A Quick Code Reference
Study Guide The best way to prepare for this open note exam is to have an organized, clear, exhaustive study guide that provides answers to all the questions you might be asked to do on your final. We have covered 3 main topics: Multiple Regression (with categorical variables) Logistic Regression Data Management Determine the types of informat...
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Final Review
Short Answer How do you decide what is in your “best” model for logistic or multiple regression if you have several independent variables? This is a question about model selection: Forces, hierachical, and stepwise are common methods people use to select their model. We use the function anova() and look for the lowest AIC value for the hi...
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The Relationship between the Source of Dog Acquisition and Behavioral Issues: House Training, Coprophagia, and Stereotypic Behaviors
Abstract This study aims to investigate the relationship between the source of dog acquisition and the occurrence of house training issues, coprophagia, and stereotypic behaviors. I hypothesize that dogs acquired from pet shops will exhibit a higher prevalence of these behavioral issues compared to dogs acquired from other sources. Utilizing th...
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ANTH 504 Week 13 Logistic Regression
Introduction This document was composed from Dr. Snopkowski’s ANTH 504 Week 13 lecture and University of Cincinnati UC Business Analytics R Programming Guide at . Aims § When and why do we use logistic regression? § Binary (categorical) output § Theory behind logistic regression § Assessing the model § Assessing predictors § Things that...
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HW_11
library(haven) library(tidyverse) Data We will be using the Eel.sav dataset, which has information on whether a patient was Cured (1) or Not Cured (0), whether a Intervention was used (Intervention=1, no Intervention = 0) and the duration of their condition before Intervention. Please load this dataset. Eel <- read_sav("Eel.sav") head(Eel) #...
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HW_10
Introduction Suicide in the US is a major public health issue. In 2020, there were more than 45,000 recorded suicides. Significant research has gone into understanding the risk and protective factors associated with suicide. In this assignment, we will use publicly available data to examine suicide rates by US county. Each county in the US has ...
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ANTH 504 Week 12 Data Management & Multiple Regression in Practice
library(tidyverse) library(dplyr) library(dslabs) Introduction This document was composed from Dr. Snopkowski’s ANTH 504 Week 8 lecture and Rafael A. Irizarry’s 2019 Introduction to Data Science: Data Analysis and Prediction Algorithms with R Chapter 21-22. Data Management •The initial step in data analysis is typically getting the dat...
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HW_9
library(tidyverse) library(car) library(corrplot) library(lsr) CORRELATIONS In today’s lab we will be running correlation coefficients and conducting linear regression. We will use the file “Exam Anxiety.csv” to start with. Please load it into R. We will primarily use 3 variables in this dataset: 1) Revise – meaning the amount of tim...
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ANTH 504 Week 11 Correlation & Regression
Correlation & Linear Regression This document was composed from Dr. Snopkowski’s ANTH 504 Week 8 lecture and Danielle Navarro’s 2021 Learning statistics with R Chapter 5.7 on correlations & 15 Linear Regression. Load Packages & data library(tidyverse) load("parenthood-1.Rdata") Aims Correlation Measuring Relationships Scatterplots Covar...
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Midterm_Review_Guide
Pre-Midterm Review library(readr) library(readxl) library(tidyverse) library(ggplot2) Manipulate dataframes using tidyverse (e.g., filter, mutate, ifelse, case_when, group_by) filtered_mtcars <- mtcars %>% filter(mpg > 20) # Select cars with mpg > 20 mutated_mtcars <- mtcars %>% mutate(liters_per_100km = (235.21 / mpg)) # Add a new colu...
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