Publications by Steven P. Sanderson II, MPH

Interacting with Users: Mastering scanf() in C

15.10.2024

Introduction For beginner C programmers, understanding how to interact with users through input is crucial. The scanf() function is a fundamental tool in C programming that allows you to read user input and store it in variables. This article will guide you through the basics of using scanf(), prompting users effectively, and solving common problem...

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How to Add Prefix to Column Names in Base R: A Comprehensive Guide for Beginners

14.10.2024

Introduction As a beginner R programmer, you may often find yourself needing to manipulate data frames. One common task is adding prefixes to column names, which can be useful for organizing variables, improving readability, or avoiding naming conflicts when merging datasets. This guide will walk you through various methods to add prefixes to colum...

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How to Add Suffix to Column Names in Base R: A Beginner’s Guide

13.10.2024

Adding a suffix to column names in R is a common task that can help in organizing and managing data frames, especially when dealing with multiple datasets. This guide will walk you through the process using base R functions, making it accessible for beginner R programmers. Introduction When working with data frames in R, you might find yourself ne...

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Redirection in Linux: A Beginner’s Guide

10.10.2024

Linux is a powerful operating system that offers a wide range of tools for managing files and processes. One of the most essential concepts in Linux is I/O redirection, which allows users to control the flow of data between commands and files. This guide will introduce you to the basics of redirection in Linux, focusing on how to use commands like ...

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How to Combine Two Data Frames in R with Different Columns Using Base R, dplyr, and data.table

09.10.2024

Introduction Combining data frames is a fundamental task in data analysis, especially when dealing with datasets that have different structures. In R, there are several ways to achieve this, using base R functions, the dplyr package, and the data.table package. This guide will walk you through each method, providing examples and explanations suitab...

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Making Your Programs More Powerful with #include and #define for C

08.10.2024

Introduction C programming is one of the oldest and most influential programming languages, known for its structured programming, recursion, and portability. As a beginner C programmer, you’re about to embark on an exciting journey into a language that has shaped the world of software development. Two essential tools that will make your C program...

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How to Combine Two Columns into One in R With Examples in Base R and tidyr

07.10.2024

Introduction As a beginner R programmer, you’ll often encounter situations where you need to manipulate data frames by combining columns. This article will guide you through the process of combining two columns into one in R, using both base R functions and the tidyr package. We’ll provide clear examples and explanations to help you master this...

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How to Combine Rows with Same Column Values in R

06.10.2024

Introduction Combining rows with the same column values is a fundamental task in data analysis and manipulation, especially when handling large datasets. This guide is tailored for beginner R programmers looking to efficiently merge rows using Base R, the dplyr package, and the data.table package. By the end of this guide, you will be able to seaml...

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Working With Linux Commands: A Beginner’s Guide to Essential Tools

03.10.2024

Introduction Linux, known for its powerful command-line interface, offers a vast array of tools that can significantly enhance your productivity. For beginners, navigating this landscape can be daunting, but mastering a few essential commands can make a world of difference. In this comprehensive guide, we’ll explore key Linux commands that every ...

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How to Split Data into Equal Sized Groups in R: A Comprehensive Guide for Beginners

02.10.2024

Introduction As a beginner R programmer, you’ll often encounter situations where you need to divide your data into equal-sized groups. This process is crucial for various data analysis tasks, including cross-validation, creating balanced datasets, and performing group-wise operations. In this comprehensive guide, we’ll explore multiple methods ...

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