Binning in R: Create Bins of Continuous Variables
three methods to create bins in R
Binning in R: Create Bins of Continuous Variables Read More »
ggplot2
Correlation in R: Coefficients, Visualizations, & Matrix Analysis
Discover the power of correlation in R as you unravel hidden relationships in your data. From calculating correlation coefficients to visualizing patterns, dive into the world of data analysis and uncover the insights that lie within. Get ready to unlock the secrets of correlation in R.
Correlation in R: Coefficients, Visualizations, & Matrix Analysis Read More »
ggplot Center Title: A Guide to Perfectly Aligned Titles in Your Plots
In this R tutorial, you will discover how to use ggplot to center the title effectively. Centering the title is crucial to creating visually appealing plots, and, e.g., enabling better communication of insights. We will explore examples from hearing science and psychology to demonstrate the significance of centering titles in ggplot2 objects.
ggplot Center Title: A Guide to Perfectly Aligned Titles in Your Plots Read More »
Plot Prediction Interval in R using ggplot2
In this blog post, you will learn how to plot the prediction interval in R. If you work with data or are interested in statistical analysis, you know that making predictions is an essential part of the process. Moreover, if you are new to prediction intervals or want to refresh your knowledge, this post will
Plot Prediction Interval in R using ggplot2 Read More »
How to Create a Sankey Plot in R: 4 Methods
Sankey plots are an essential tool for data visualization in science and business. Whether you are exploring complex data flows, identifying patterns, or communicating insights, Sankey diagrams make it easy to visualize connections and gain meaningful insights. Discover four methods to create stunning Sankey plots in R and elevate your data analysis game!
How to Create a Sankey Plot in R: 4 Methods Read More »
How to Make a Residual Plot in R & Interpret Them using ggplot2
This post will teach you how to make a residual plot in R. Moreover, you will learn when to use different residual plots and how to interpret them. Residual plots are a graphical tool that can evaluate the quality of a regression model. They are handy for identifying issues with the model assumptions, such as
How to Make a Residual Plot in R & Interpret Them using ggplot2 Read More »
How to Create a Violin plot in R with ggplot2 and Customize it
This data visualization tutorial will teach us how to make a violin plot in R using ggplot2. We can use several techniques to visualize data (see, for example, the Python-related post “9 Data Visualization Techniques You Should Learn in Python“) to visualize our data in r. Briefly described, violin plots combine a box plot and
How to Create a Violin plot in R with ggplot2 and Customize it Read More »
How to Make a Scatter Plot in R with Ggplot2
Here you will learn how to create scatter plots in R. In this post we will, focus on ggplot2, from the tidyverse, among other packages to learn how to create the plots, add text, change color, group, and a regression line.
How to Make a Scatter Plot in R with Ggplot2 Read More »
