Introduction Programming is often about making decisions based on certain conditions. In the world of R, there are numerous functions that can help us simplify our code and make it more efficient. One such function is any(). In this blog post, w... [Read more...]

Introduction When working with data, it is important to be aware of the file size of the data you are working with. This is especially true when you are working with large datasets, as the file size can have a significant impact on the performan... [Read more...]

Introduction In the realm of data analysis and manipulation, R has become a popular programming language due to its extensive collection of packages and libraries. One common task is exporting data to Excel files, which allows for easy sharing a... [Read more...]

Introduction Yesterday I had the need to see data that had a grouping column in it. I wanted to use the tidy_four_autoplot() function on it from the {TidyDensity} library on it. This post will explain how I did it. The data in my session was cal... [Read more...]

Introduction The sink() function in R is used to divert R output to an external connection. This can be useful for a variety of purposes, such as exporting data to a file, logging R output, or debugging R code. In this blog post, we will explore... [Read more...]

Introduction To effectively extract insights and communicate findings, you need powerful tools that simplify the process and present data in an engaging manner. If you’re a programmer with a penchant for data analysis, you’re in luck! The latest... [Read more...]

Introduction When it comes to working with files in R, having a powerful tool at your disposal can make a world of difference. Enter the list.files() function, a versatile and handy utility that allows you to effortlessly navigate through direct... [Read more...]

Introduction: As a programmer, one of the most important tasks is to extract valuable insights from data. To make this process efficient, it is crucial to have a reliable tool at your disposal. Enter the which() function in R. This versatile fun... [Read more...]

Introduction Formatting dates is an essential task in data analysis and programming. In R, there are various ways to manipulate and present dates according to specific requirements. In this blog post, we will explore the world of date formatting... [Read more...]

Introduction Dates and times are essential components in many programming tasks, and R provides various functions and packages to handle them effectively. In this post, we’ll explore some common operations using both the base R functions and the... [Read more...]

Introduction Mother’s Day is a special occasion to honor and appreciate the incredible women in our lives. As programmers, we can use our coding skills to make our lives easier when it comes to important dates like Mother’s Day. In this blog pos... [Read more...]

Introduction In this post, we will cover the basics of handling dates and times in R using the as.Date, as.POSIXct, and as.POSIXlt functions. We will use the example code below to explain each line in simple terms. Let’s get started! Here is the... [Read more...]

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Introduction Introducing the Updated {healthyR.data} Package: Your Ultimate Health Data Companion If you’re a healthcare professional or a data enthusiast, you’re probably familiar with the healthyR.data package. This R package has been an inval... [Read more...]

Introduction The code provided at the end of this post is an example of how to create a simple Shiny app in R that utilizes the OpenStreetMap (OSM) API to create a map of amenities in a specific location. The app has two main parts: the user int... [Read more...]

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Introduction The download.file() function in R is used to download files from the internet and save them onto your computer. Here’s a simple explanation of how to use it: Specify the URL of the file you want to download. Specify the file name a... [Read more...]

Introduction In this post, we are using a package called tidymodels, which provides a suite of tools for modeling and machine learning. Now, let’s take a closer look at the code itself and how we extract a model call from a fitted workflow objec... [Read more...]

Introduction This is a Shiny app for building models using the {tidyAML} which is based on the tidymodels package in R. The app allows you to upload your own data or choose from one of two built-in datasets (mtcars or iris) and select the type o... [Read more...]