Publications by Emmanuel Thompson
MA223: Case Study 2: Data Visualization using R (Spring 2024)
Names of Group Members: First Name Last Name First Name Last Name First Name Last Name Objectives: Students will be able to use R to organize, summarize, and present data in a meaningful and understanding manner. Instructions: This is a group case study and you must use R/RStudio and this Word document for the study. Copy and paste (take a ph...
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MA223: Case Study 3: Data Description using R (Spring 2024)
Names of Group Members: First Name Last Name First Name Last Name First Name Last Name Objectives: Students will be able to use R and statistical methods to summarize data. Instructions: This is a group case study and you must use R/RStudio and this Word document for the study. Copy and paste (take a photo) your results from RStudio (where n...
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MA223: Unit 3 R Tutorials (Spring 2024)
Data Manipulation and Data Description using R dplyr Package The dplyr package provides a set of functions that make it easier to work with data frames and perform data manipulation tasks in R. Key functions in the dplyr package are as follows: filter(): Subset rows based on conditions. select(): Choose specific columns. mutate(): Add new varia...
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MA223: Unit 1 Tutorials (Spring 2024)
Introduction to R and RStudio R R is a free, open source software program for statistical computing and analysis. Things to know about R: Statistical computing environment with its own language. Released in 2000 as an open source implementation of S. Available for Windows, Macintosh, and Linux. Produces publication-quality graphs. Numerous stat...
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MA223: Unit 2 Tutorials (Spring 2024)
Visualizations R has excellent tools for visualizing data. Data visualization is the technique used to deliver insights in data using visuals such as graphs, charts, maps, tables, and many others. In this tutorial, we look at tables and graphics in R. For the graphics, we focus on the basic functionalities within the base R and ggplot2. Tables...
3551 sym R (4092 sym/27 pcs)
MA223: Unit 1 Tutorials (Spring 2024)
Introduction to R and RStudio R R is a free, open source software program for statistical computing and analysis. Things to know about R: Statistical computing environment with its own language. Released in 2000; an open source implementation of S. Available for Windows, Macintosh, and Linux. Produces publication-quality graphs. Numerous advance...
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Document
MA530: Statistical Learning Fall 2023 2023-04-22 Emmanuel 0. R Programming 1. Introduction to Statistical Learning 2. Linear Regression 3. Classification 0. R Programming 1. Introduction to Statistical Learning 2. Linear Regression 3. Classification...
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Homework 1
Question 1: A manufacturer knows that their items have a normally distributed length, with a mean of 18 inches, and standard deviation of 4.9 inches. If one item is chosen at random, what is the probability that it is less than 20.5 inches long? what is the probability that it is greater than or equal to 21.7 inches long? what is the probabilit...
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Project 4: Exploratory Data Analysis
Problem 1: From the World Bank Data, do the following: Find the mean and the median for Life Expectancy (lifeExp) and GDP per Capita (gdpPercap). Describe the measures obtained above in terms of their appropriateness in describing the centers of Life Expectancy (lifeExp) and GDP per Capita (gdpPercap). Find the five number summary for Life Expe...
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3.1_3.4: Data Description
Credit Data library(readr) Credit <- read_csv("Credit.csv") Descriptive Statistics #install.packages("psych") library(psych) describe(Credit$Income) ## vars n mean sd median trimmed mad min max range skew kurtosis ## X1 1 400 45.22 35.24 33.12 38.67 23.12 10.35 186.63 176.28 1.73 2.87 ## se ## X1 1.76 describe(Cre...
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