# Articles by Steven P. Sanderson II, MPH

### How to Plot Multiple Histograms with Base R and ggplot2

August 24, 2023 |

Introduction Histograms are a powerful tool for visualizing the distribution of numerical data. They allow us to quickly understand the frequency distribution of values within a dataset. In this tutorial, we’ll explore how to create multiple his...

### Plotting Multiple Lines on a Graph in R: A Step-by-Step Guide

August 23, 2023 |

Introduction Graphs are powerful visual tools for analyzing and presenting data. In this blog post, we will explore how to plot multiple lines on a graph using base R. We will cover two methods: matplot() and lines(). These functions provide fle...

### Exploring Data Distribution in R: A Comprehensive Guide

August 22, 2023 |

Introduction Understanding the distribution of your data is a fundamental step in any data analysis process. It gives you insights into the spread, central tendency, and overall shape of your data. In this blog post, we’ll explore two popular fu...

### Unveiling Data Distribution Patterns with stripchart() in R

August 21, 2023 |

Introdution Data visualization is a powerful tool that allows us to uncover patterns and insights within datasets. One such tool in the R programming arsenal is the stripchart() function. If you’re looking to reveal distribution patterns in your...

### Exploring Box Plots with Mean Values using Base R and ggplot2

August 20, 2023 |

Introduction Data visualization is a powerful tool for understanding and interpreting data. In this blog post, we will explore how to create box plots with mean values using both base R and ggplot2. We will use the famous iris dataset as an exam...

### Exploring Data Distribution with Box Plots in R

August 17, 2023 |

Introduction Are you ready to dive into the world of data visualization in R? One powerful tool at your disposal is the box plot, also known as a box-and-whisker plot. This versatile chart can help you understand the distribution of your data an...

### Mastering Data Approximation with R’s approx() Function

August 16, 2023 |

Introduction Are you tired of dealing with irregularly spaced data points that just don’t seem to fit together? Do you find yourself struggling to interpolate or smooth your data for better analysis? Look no further! In this blog post, we’ll div...

### Exploring the Power of the curve() Function in R

August 15, 2023 |

Introduction In the vast world of R programming, there are numerous functions that provide powerful capabilities for data visualization and analysis. One such function that often goes under appreciated is the curve() function. This neat little f...

### Solving Systems of Equations in R using the solve() Function

August 14, 2023 |

Introduction In mathematical modeling and data analysis, it is often necessary to solve systems of equations to find the values of unknown variables. R provides the solve() function, which is a powerful tool for solving systems of linear equatio... [Read more...]

### The substring() function in R

August 13, 2023 |

Introduction The substring() function in R is used to extract a substring from a character vector. The syntax of the function is: substring(x, start, stop) where: x is the character vector from which to extract the substring start is the starti... [Read more...]

### pmax() and pmin(): Finding the Parallel Maximum and Minimum in R

August 10, 2023 |

Introduction Title: Unleashing the Power of pmax() and pmin() Functions in R Introduction: In the realm of data manipulation and analysis, R stands tall as a versatile programming language. Among its plethora of functions, pmax() and pmin() shin... [Read more...]

### Mastering Grouped Counting in R: A Comprehensive Guide

August 9, 2023 |

Introduction As data-driven decision-making becomes more critical in various fields, the ability to extract valuable insights from datasets has never been more important. One common task is to calculate counts by group, which can shed light on t... [Read more...]

### Mastering Data Visualization: A Guide to Harnessing the Power of R’s par() Function

August 8, 2023 |

Introduction When it comes to data visualization in R, the par() function is an indispensable tool that often goes overlooked. This function allows you to control various graphical parameters, unleashing a world of customization possibilities fo...

### Mastering Data Transformation with the scale() Function in R

August 7, 2023 |

Introduction Data analysis often requires preprocessing and transforming data to make it more suitable for analysis. In R, the scale() function is a powerful tool that allows you to standardize or normalize your data, helping you unlock deeper i... [Read more...]

### Enhance Your Plots with the text() Function in R

August 6, 2023 |

Introduction As a programmer, you’re well aware of the importance of data visualization. A well-crafted plot can convey complex information with clarity and impact. In R, creating stunning plots is a breeze, especially when you’re armed with the...

### Exploring R’s Versatile str() Function: Unraveling Your Data with Ease!

August 3, 2023 |

Introduction Welcome, fellow data enthusiasts, to another exciting blog post! Today, we’re diving deep into R’s invaluable str() function – a powerful tool for gaining insight into your datasets. Whether you’re a seasoned data scientist or just ... [Read more...]

### A Handy Guide to read.delim() in R – Unraveling the Magic of Reading Tabular Data

August 2, 2023 |

Introduction Welcome, data enthusiasts! If you’re diving into the realm of data analysis with R, one function you’ll undoubtedly encounter is read.delim(). It’s an essential tool that allows you to read tabular data from a delimited text file an... [Read more...]

### The unlist() Function in R

August 1, 2023 |

Introduction Hey fellow R enthusiasts! Today, we’re diving deep into the incredible world of R programming to explore the often-overlooked but extremely handy unlist() function. If you’ve ever found yourself dealing with complex nested lists or ... [Read more...]

### R Functions for Getting Objects

July 31, 2023 |

Introduction Welcome, fellow programmers, to this exciting journey into the world of R functions! Today, we’ll explore four powerful functions: get(), get0(), dynGet(), and mget(). These functions may sound mysterious, but fear not; we’ll demyst... [Read more...]

### The replicate() function in R

July 30, 2023 |

Introduction As a programmer, you must have encountered situations where you need to repeat a task multiple times. Repetitive tasks are not only tedious but also prone to errors. What if I tell you there’s an elegant solution to this problem in ... [Read more...]
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