Publications by Harold Nelson
Notes on the Infer Package
The Infer Package Harold Nelson 2025-04-08 Introduction This presentation goes through some common use cases of the infer package. Setup library(infer) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ read...
2233 sym Python (8329 sym/37 pcs)
The t and prop Tests
The t and prop Tests Harold Nelson 2025-03-31 The t test We can use the t test to test hypotheses about the mean value of a variable. Setup library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ...
3907 sym
Truth Tables as Lists
Truth Tables as Lists Harold Nelson 3/25/2025 The Conclusion I suggested a way to write a python program to come to a conclusion about the equivalence of two logical expressions. Here it is. tv = [True,False] # Initialize empty lists rl = [] sl = [] # Loop through possible values of p and q for p in tv: for q in tv: r = not p and n...
564 sym
Normal Distribution Functions
Normal Distribution Functions Harold Nelson 2025-03-03 Introduction to Normal Distribution Functions dnorm(): Density function pnorm(): Cumulative distribution function qnorm(): Quantile function rnorm(): Random number generation These functions are essential for working with the normal distribution in R. dnorm(): Density Function Purpose: C...
1621 sym Python (732 sym/4 pcs) 4 img
Binomial Distribution Functions
Binomial Distribution Functions Your Name 2025-03-03 Introduction to Binomial Distribution Functions dbinom(): Probability mass function pbinom(): Cumulative distribution function qbinom(): Quantile function rbinom(): Random number generation These functions are essential for working with the binomial distribution in R. dbinom(): Probability ...
1327 sym Python (1022 sym/4 pcs) 4 img
Probability Distributions 1
Basic Concepts of Probability An event is a set of possible outcomes of an experiment.The probability of an event is what we expect its relative frequency to approach as we run the experiment a large number of times.These values can arise from several sources. Probabilities are always numbers in the range \(0\) to \(1\). Theory If the elementary o...
14133 sym 5 img
A5Doccument
Human Mortality Database This is an initial exploration of the Human Mortality Database, which is at https://www.mortality.org/. Download the entire database and place it in your current working directory. Setup library(tidyverse) ## ── Attaching core tidyverse packages ────────────────────────...
1638 sym R (9820 sym/40 pcs) 4 img
Final Presentation CSC 530
Final Presentation CSC 530 Connie Rodriguez 2024-12-05 Issue Description In recent years, the issue of machine learning bias in predictive algorithms has become a critical area of investigation due to its widespread implications across industries such as law enforcement, healthcare, and hiring. Machine learning models, while powerful in their ...
12374 sym 4 img
Comparing AUC models
Setup library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 ✔ tidyr ...
3045 sym R (13092 sym/54 pcs) 5 img
CSC 530 Assignment 5 Rich Montgomery
Human Mortality Database This is an initial exploration of the Human Mortality Database, which is at https://www.mortality.org/. Download the entire database and place it in your current working directory. Setup library(tidyverse) ## ── Attaching core tidyverse packages ────────────────────────...
1986 sym R (8448 sym/33 pcs) 5 img