# Articles by Steven P. Sanderson II, MPH

### The intersect() function in R

July 27, 2023 |

Introduction Welcome to another exciting blog post where we delve into the world of R programming. Today, we’ll be discussing the intersect() function, a handy tool that helps us find the common elements shared between two or more vectors in R. ... [Read more...]

### Unleashing the Power of Cumulative Mean in R: A Step-by-Step Guide

July 26, 2023 |

Introduction As data-driven decision-making continues to shape our world, the need for insightful statistical analysis becomes ever more apparent. One crucial tool in a programmer’s arsenal is the “cumulative mean,” a statistical measure that al... [Read more...]

### Summarizing Data in R: tapply() vs. group_by() and summarize()

July 25, 2023 |

Introduction Are you tired of manually calculating summary statistics for your data in R? Look no further! In this blog post, we will explore two powerful ways to summarize data: using the tapply() function and the group_by() and summarize() fun... [Read more...]

### Unraveling Data Insights with R’s fivenum(): A Programmer’s Guide

July 24, 2023 |

Introduction As a programmer and data enthusiast, you know that summarizing data is essential to gain insights into its distribution and characteristics. R, being a powerful and versatile programming language for data analysis, offers various fu...

### How to Calculate Percentage by Group in R using Base R, dplyr, and data.table

July 23, 2023 |

Introduction Calculating percentages by group is a common task in data analysis. It allows you to understand the distribution of data within different categories. In this blog post, we’ll walk you through the process of calculating percentages b... [Read more...]

### Harness the Power of paste() and cat() in R: Combining and Displaying Text Like a Pro

July 20, 2023 |

Introduction As a programmer in R, you’ll often find yourself working with textual data and need to manipulate or display it in various ways. Two essential functions at your disposal for these tasks are paste() and cat(). These functions are pow... [Read more...]

### Simplify Your Code with R’s Powerful Functions: with() and within()

July 19, 2023 |

Introduction If you’ve been working with R for some time, you might have come across situations where your code becomes cumbersome due to repetitive references to data frames or list elements. Luckily, R provides two powerful functions, with() a...

### How to subset list objects in R

July 18, 2023 |

Introduction If you’re an aspiring data scientist or R programmer, you must be familiar with the powerful data structure called “lists.” Lists in R are collections of elements that can contain various data types such as vectors, matrices, data f... [Read more...]

### Efficiently Finding Duplicate Rows in R: A Comparative Analysis

July 17, 2023 |

Introduction In data analysis and manipulation tasks, it’s common to encounter situations where we need to identify and handle duplicate rows in a dataset. In this blog post, we will explore three different approaches to finding duplicate rows i... [Read more...]

### Finding Duplicate Values in a Data Frame in R: A Guide Using Base R and dplyr

July 16, 2023 |

Introduction In data analysis and programming, it’s common to encounter situations where you need to identify duplicate values within a dataset. Whether you’re a beginner or an experienced programmer, knowing how to find duplicate values is a fu... [Read more...]

### Covariance in R with the cov() Function

July 13, 2023 |

Introduction In the world of data analysis, understanding the relationship between variables is crucial. One powerful tool for measuring this relationship is the covariance. Today, we’ll explore the cov() function in R and delve into the fascina... [Read more...]

### Simplifying File Existence Checking in R with file.exists()

July 12, 2023 |

Introduction As a programmer, you’ll often come across situations where you need to check whether a file exists before performing any operations on it. Thankfully, the R programming language provides a handy function called file.exists() that al... [Read more...]

### Exploring Data with colMeans() in R: A Programmer’s Guide

July 11, 2023 |

Introduction As a programmer, working with data is a crucial aspect of our work. In R, there are numerous functions available that simplify data analysis tasks. One such function is colMeans(), which allows us to calculate the mean of columns in... [Read more...]

### A Closer Look at the R Function identical()

July 10, 2023 |

Introduction In the realm of programming, R is a widely-used language for statistical computing and data analysis. Within R, there exists a powerful function called identical() that allows programmers to compare objects for exact equality. In th... [Read more...]

### Simplifying File Management in R: Introducing file.rename()

June 29, 2023 |

Introduction Managing files is an essential task for any programmer, and when working with R, the file.rename() function can become your best friend. In this blog post, we’ll explore the ins and outs of file.rename(), discuss its syntax, provide... [Read more...]

### How to Use a Windows .bat File to Execute an R Script

June 28, 2023 |

Introduction Using a Windows .bat file to execute an R script can be a convenient way to automate tasks and streamline your workflow. In this blog post, we will explain each line of a sample .bat file and its corresponding R script, along with a... [Read more...]

### Exploring Rolling Correlation with the rollapply Function: A Powerful Tool for Analyzing Time-Series Data

June 27, 2023 |

Introduction In the world of data analysis, time-series data is a common sight. Whether it’s stock prices, weather patterns, or website traffic, understanding the relationship between variables over time is crucial. One valuable technique in thi...

### The ave() Function in R

June 26, 2023 |

Introduction In the world of data analysis and statistics, grouping data based on certain criteria is a common task. Whether you’re working with large datasets or analyzing trends within smaller subsets, having a reliable and efficient tool for ... [Read more...]

### Visualization in R: Unleashing the Power of the abline() Function

June 25, 2023 |

Introduction Welcome to the world of data visualization in R! In this blog post, we will explore the abline() function, a versatile tool that allows you to add straight lines to your plots effortlessly. Whether you’re a beginner or an experience...