Publications by Melissa Bowman
HW4 Data 624 Predictive Analytics
Do problems 3.1 and 3.2 in the Kuhn and Johnson book Applied Predictive Modeling. library(mlbench) library(tidyverse) library(e1071) library(skimr) library(caret) library(corrplot) library(ggplot2) library(mice) Question 3.1 The UC Irvine Machine Learning Repository6 contains a data set related to glass identification. The data consist of...
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HW3 Data 624 Predictive Analytics 2024 Spring Term
Do exercises 5.1, 5.2, 5.3, 5.4 and 5.7 in the Hyndman book. (https://oteinsom/fpp3/) library(fpp3) library(tidyverse) Question 5.1 Produce forecasts for the following series using whichever of NAIVE(y), SNAIVE(y) or RW(y ~ drift()) is more appropriate in each case: a.Australian Population (global_economy) australian_population <- global_econom...
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HW2 Data 624
Do exercises 3.1, 3.2, 3.3, 3.4, 3.5, 3.7, 3.8 and 3.9 from the online Hyndman book. (https://oteinsom/fpp3/) library(fpp3) library(latex2exp) library(seasonal) Question 3.1 Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which country has the highest GDP per capita? How has this changed ove...
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HW1 Data 624 Predictive Analytics 2024 Spring Term
Submit exercises 2.1, 2.2, 2.3, 2.4, 2.5 and 2.8 from the Hyndman online Forecasting book. (https://oteinsom/fpp3/) library(fpp3) Question 2.1 Explore the following four time series: Bricks from aus_production, Lynx from pelt, Close from gafa_stock, Demand from vic_elec. a.Use ? (or help()) to find out about the data in each series. b.What is t...
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Data 605 Problem 1
Problem 1. Probability Density 1: X~Gamma. Using R, generate a random variable X that has 10,000 random Gamma pdf values. A Gamma pdf is completely describe by n (a size parameter) and lambda (lambda , a shape parameter). Choose any n greater 3 and an expected value (lambda) between 2 and 10 (you choose). # Set seed for reproducibility set.see...
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Data 605 Problem 2
library(ResourceSelection) ## Warning: package 'ResourceSelection' was built under R version 4.2.3 ## ResourceSelection 0.3-5 2019-07-22 library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ## ── ## ✔ ggplot2 3.4...
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DATA 605 HW13
Question 1 Use integration by substitution to solve the integral below. \[ \int_{}^{}4e^{-7x}dx \] Substitute \[ u= −7x \to \frac{du}{dx} = -7 \to dx = -\frac{1}{7}du \] \[ -\frac{4}{7}\int_{}^{}e^{u}du = -\frac{4}{7}e^u \] Substitute \[ u= −7x \to -\frac{4}{7}e^{-7x} \] \[ \int_{}^{}4e^{-7x}dx = -\frac{4}{7}e^{-7x} + C \] Question 2...
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Week 13 Discussion
Using R, provide the solution for any exercise in either Chapter 4 or Chapter 7 of the calculus textbook. If you are unsure of your solution, post your concerns. Find the area of the shaded region in the given graph #5. Function f is equal to \(\frac{1}{2}x + 3\) Function g is equal to \(\frac{1}{2}cos(x) + 1\) The range goes from \(0\) to \(...
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Data 605 HW11
Discussion Objective: Using the “cars” dataset in R, build a linear model for stopping distance as a function of speed and replicate the analysis of your textbook chapter 3 (visualization, quality evaluation of the model, and residual analysis.) Dataset The data set used here was “cars”. The data consist of the speed of a car in miles ...
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Data 605 Week 12 Discussion
Week 12 Discussion Topic Using R, build a multiple regression model for data that interests you. Include in this model at least one quadratic term, one dichotomous term, and one dichotomous vs. quantitative interaction term. Interpret all coefficients. Conduct residual analysis. Was the linear model appropriate? Why or why not? library(tidyver...
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