Category: R Programming

Welcome to my article on plotting individual growth rates of fish in R! As a passionate fish enthusiast and data analyst, I’ve found that using R for such tasks not only allows for efficient data manipulation but also provides great flexibility in visualization. In this article, I’ll guide you through the process of calculating and…

As a data analyst, I often encounter the need to identify and visualize outliers in my data. Outliers can significantly impact our analysis and modeling, and it’s essential to spot them early on. In this article, I’ll share my insights on how to use the R programming language to effectively display outliers in plots. Let’s…

When working with R and pophelper, it’s important to be mindful of how you export your plots. I’ve encountered situations where exporting a plot in pophelper didn’t yield the expected results, so I’ve learned some valuable insights along the way. Let’s dive into the details of this issue and explore the best practices for exporting…

As a data scientist, I often find myself needing to visualize multiple plots in one page using R. This can be incredibly useful for comparing different aspects of the data or exploring relationships between variables. In this article, I will share my approach to plotting 10 plots in one page in R, along with some…

Introduction Adding a legend to an R plot is a crucial aspect of data visualization. As a data enthusiast and R user, I often find myself creating intricate plots to convey complex information. In this article, I will share my insights and expertise on how to effectively add a legend to an R plot. Whether…

When it comes to visualizing survival data, creating effective Kaplan-Meier plots is essential. In this article, I’ll share my personal insights and delve deep into the process of making good Kaplan-Meier plots in R. Understanding Kaplan-Meier Plots The Kaplan-Meier estimator is a non-parametric statistic used to estimate the survival function from lifetime data. It is…

Adding special symbols, like a star, to your R plot can be a fun and effective way to make your visualizations more engaging and insightful. I’ve often found that small touches like these can make a big difference in the overall presentation of the data. In this article, I’ll walk you through the steps of…

When working with matrices in R, it is important to understand the various operations and functions available to effectively manipulate and visualize data. One common task is plotting points within a matrix, but it’s essential to be mindful of how this process is approached. Let’s delve into the intricacies of plotting points in a matrix…

As a data scientist who frequently works with R, I often find myself using the ggRandomForest package to create visualizations of random forest models. In this article, I’ll walk you through the process of editing a plot in ggRandomForest, sharing my personal insights and tips along the way. Let’s dive into the details! Understanding ggRandomForest…

Gantt charts are an essential tool for project management, providing a visual representation of a project’s schedule. In this article, I’ll guide you through the process of creating a Gantt chart in R. As a data enthusiast and project manager, I often find myself relying on Gantt charts to effectively plan and track project timelines.…

In R, creating visually appealing and informative plots is essential for effectively communicating your data. One aspect of plot customization involves modifying the legend title to make it bold. Let’s dive into the process of achieving this customization. Accessing the Plot’s Legend Title When creating a plot in R, the legend title is an essential…

So, you’re working with data in R and you’ve come across those pesky NA values. Fear not, my fellow data wrangler, for I have some handy techniques to help you make those NA values disappear in R. Understanding NA Values in R Before we dive into the methods to handle NA values, let’s briefly discuss…

When working with LP (Linear Programming) problems in R, it can be essential to include labels in the output for better interpretation and analysis. I have found that adding labels to the output of the lp_solve function in R can greatly enhance the readability and usability of the results. Understanding LP Problems and Labels in…

Creating a heatmap in R with a legend is a powerful way to visualize data and gain insights into patterns and trends. In this article, I will guide you through the process of making a heatmap with a legend in R, while sharing my personal insights and tips along the way. Understanding Heatmaps in R…

When working with visualizations in R, it’s crucial to ensure that your graphs are not only informative but also visually appealing. One common issue that I often encounter is the need to make gridlines darker black in openair plots. In this article, I’ll dive deep into the process of achieving this and share some personal…

When working with datasets in R, one of the most important aspects is organizing and managing the data. A common requirement is to make the first row of your dataset as the header, which can make your analysis and visualization tasks a lot easier. In this article, I’ll guide you through the process of making…

When I need to make r randomly choose between two options, I rely on the versatility of the “ifelse” function in R. This handy function allows me to create a simple yet effective way to generate random outcomes. Let me walk you through the process and share some personal insights along the way. Understanding the…

Making R recognize dates as dates is a common challenge that many data analysts and researchers face. I have encountered this issue numerous times in my own work, and I’ve learned some valuable techniques to overcome it. In this article, I will share my insights and tips on how to make R recognize dates as…

Have you ever found yourself waiting for a long-running process to complete in R Studio, only to realize later that it has finished and you missed the notification? I know the feeling! But fear not, I have discovered a solution that has saved me from this frustration. Let me show you how to make R…

When working with datasets in R, it’s common to encounter situations where I need to view all the columns at once. This is especially helpful when dealing with large datasets or when I need to quickly scan through the entire structure of a dataset. Fortunately, there are several ways to achieve this in R, and…

Today, I’m excited to share with you the process of creating a phylogeny using R, a powerful statistical programming language that is widely used in bioinformatics and biological research. Phylogeny, or evolutionary history, of species has always fascinated me, and being able to visualize it using R is both rewarding and insightful. Understanding Phylogeny Before…

Hey there, fellow R enthusiasts! Today, I’m super excited to delve into the nitty-gritty of creating cut points in R. This is a really handy technique that I’ve found incredibly useful in my own data analysis projects, so I’m thrilled to share my insights with you. Understanding Cut Points First things first, let’s talk about…

Creating custom color palettes for Brewer in R can be a fun and rewarding experience for any data visualization enthusiast. Whether you’re a beginner or an experienced R user, customizing color palettes adds a personal touch to your visualizations and helps convey your data in a more impactful way. In this article, I’ll dive deep…

Making an R heatmap with annotations and a legend can be a powerful way to visualize data. Heatmaps are particularly useful for identifying patterns and trends in large datasets. In this article, I’ll guide you through the process of creating a heatmap in R and adding annotations and a legend for better interpretation of the…

Hey there! Today, I want to dive into the wonderful world of making GET and POST calls in R. As a data enthusiast, I’ve found that being able to interact with APIs and web services is a vital part of my work. So, let’s roll up our sleeves and explore how to do this in…

In R, creating clear bar plots with non-white backgrounds can be a great way to enhance visualizations. The use of a different background color can make your plots stand out and can be especially useful when presenting data in a report or a presentation. Let’s dive into the details of how to achieve this! Setting…

When it comes to guitar setup and maintenance, one of the key factors that often gets overlooked is the fret pair r and r0. As a seasoned guitarist and technician, I’ve learned firsthand the importance of understanding what makes a good fret pair r r0, and I’m excited to share my insights with you. The…

As a data scientist and R enthusiast, I’ve often wondered why the R programming language doesn’t have a built-in function to create a C10 model. The C10 model is widely used in machine learning for classification tasks, so it seems like a curious omission. Let’s delve into this topic and explore the potential reasons behind…

When it comes to analyzing data and understanding the relationships between different variables, creating a web of causation in R can be an incredibly powerful tool. As a data analyst and R enthusiast, I have found that this method allows me to visualize and comprehend complex causal relationships in my datasets. In this article, I’ll…

I’ve always been fascinated by the intricacies of language and the way sounds are produced. As someone who is passionate about linguistics, I find myself drawn to the mechanics of speech production and the reasons behind the way we form certain sounds. One particular sound that has captured my interest is the ‘r’ sound –…