Publications by Emmanuel Thompson
GitHub Account Setup and Basics
\usepackage{hyperref} GitHub Account Setup and Basics Author Emmanuel Thompson Published December 30, 2024 Introduction This guide covers signing up for GitHub, creating repositories, folders, uploading files, and adding collaborators. link2 <- "https://google.com" Clique aqui Steps to Sign Up for GitHub Visit GitHub: Go to GitHub’s we...
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Vignette Title Vignette Author 2024-12-07 Vignettes are long form documentation commonly included in packages. Because they are part of the distribution of the package, they need to be as compact as possible. The html_vignette output type provides a custom style sheet (and tweaks some options) to ensure that the resulting html is as small as possib...
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MA223: Unit 6 R Tutorials (Fall 2024)
The Normal Distribution in R Plotting the Normal Distribution in R To plot a normal distribution in R, we can either use the base R or ggplot2. Example 1 (Using Base R): To plot a normal distribution with mean = 0 and standard deviation = 1, we can use the following code: # Create a sequence of 100 equally spaced numbers between -5 and 5 x <- ...
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MA223: Unit 3 R Tutorials (Fall 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...
2626 sym R (3448 sym/17 pcs)
MA223: Unit 2 Tutorials (Fall 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...
3552 sym R (4092 sym/27 pcs)
MA223: Unit 1 Tutorials (Fall 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...
4820 sym R (3556 sym/20 pcs)
MA223: Unit 7 and 8 R Tutorials (Spring 2024)
Confidence Intervals & Hypothesis Testing for a Single Population In R, the t.test() function can be used to perform both confidence interval estimation and hypothesis testing for a single population mean (average). The function can also perform two sample confidence interval estimation and hypothesis testing for two population means (averag...
4221 sym R (2221 sym/20 pcs)
MA223: Unit 6 R Tutorials (Spring 2024)
The Normal Distribution in R Plotting the Normal Distribution in R To plot a normal distribution in R, we can either use the base R or ggplot2. Example 1 (Using Base R): To plot a normal distribution with mean = 0 and standard deviation = 1, we can use the following code: # Create a sequence of 100 equally spaced numbers between -5 and 5 x <- ...
1008 sym R (2206 sym/4 pcs) 4 img
DocumentMA223: Unit 5 R Tutorials (Spring 2024)
Discrete Distributions in R Discrete Distributions Discrete distributions refer to probability distributions that are connected with discrete random variables. Unlike continuous random variables, which can take on any value within a given range, discrete random variables assume distinct and separate values typically represented by whole number...
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MA223: Case Study 1 - Working with R/RStudio (Spring 2024)
This is not to be shared or distributed!!! Names of Group Members: First Name Last Name First Name Last Name First Name Last Name Objectives: Students will be able to: read data into R. perform basic mathematical operations in R. identify types of variables in a given data set in R. Instructions: This is a (group) case study and you must use ...
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