R Programming

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more

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 ... Read more