Publications by Harold Nelson

Variables Expressions and Statements

11.05.2022

Variables Expressions and Statements Harold Nelson 5/11/2022 knitr::opts_chunk$set(error = TRUE) Notes on PY4E Chapter 2 These notes follow chapter 2 of the text closely. They are intended to be used in a hands-on manner, not just read. You should read each section of the text before working through the corresponding section of these notes. ...

5231 sym R (1805 sym/89 pcs)

Logistic Regression

12.04.2022

Logistic Regression Harold Nelson 4/12/2022 Logistic Regression This model is used for models with a binary outcome. As an example, we will consider the problem of identifying gender based on other variables. We will continue using the cdc2 dataframe. Load the Data load("cdc2.Rdata") Setup Get the packages we need. library(tidyverse) ## ─�...

2200 sym R (3142 sym/33 pcs) 2 img

Regression Workflow 1

08.04.2022

Regression Workflow 1 Harold Nelson 4/8/2022 A Model Building Exercise Can we predict how much weight people want to lose or gain? The Data I’ll use a sample of records from the Behavioral Risk Factors Surveillance System (BRFSS) conducted by the Centers for Disease Control (CDC). The data I used is available from Openintro.org. See ht...

1569 sym R (7826 sym/27 pcs)

Test Quarto

08.04.2022

Test Quarto Quarto enables you to weave together content and executable code into a finished presentation. To learn more about Quarto presentations see https://quarto.org/docs/presentations/. Bullets When you click the Render button a document will be generated that includes: Content authored with markdown Output from executable code Code Whe...

520 sym R (5 sym/1 pcs)

Classification 1

11.04.2022

Classification 1 Harold Nelson 11/12/2020 KNN and Naive Bayes The task is to predict the gender of a person based on other characteristics? This document works through two model types, K Nearest Neighbors and Naive Bayes. The Data I’ll use a sample of records from the Behavioral Risk Factors Surveillance System (BRFSS) conducted by the Cent...

4082 sym R (4029 sym/68 pcs)