Articles by Steven P. Sanderson II, MPH

Testing stationarity with the ts_adf_test() function in R

October 16, 2023 | Steven P. Sanderson II, MPH

Introduction Hey there, R enthusiasts! Today, we’re going to dive into the fascinating world of time series analysis using the ts_adf_test() function from the healthyR.ts R library. If you’re into data, statistics, and R coding, this is a must-k... [Read more...]

Analyzing Time Series Growth with ts_growth_rate_vec() in healthyR.ts

October 15, 2023 | Steven P. Sanderson II, MPH

Introduction Time series data is essential for understanding trends and making forecasts in various fields, from finance to healthcare. Analyzing the growth rate of time series data is a crucial step in uncovering valuable insights. In the world...

Mastering the Art of Drawing Circles in Plots with R

October 12, 2023 | Steven P. Sanderson II, MPH

Introduction As an R programmer, you may want to draw circles in plots to highlight certain data points or to create visualizations. Here are some simple steps to draw circles in plots using R: Examples First, create a scatter plot using the ...

How to Use cex to Change the Size of Plot Elements in base R

October 11, 2023 | Steven P. Sanderson II, MPH

Introduction Let’s dive into the world of R and explore how to use cex to change the size of plot elements in base R. Whether you’re a seasoned R user or just starting out, understanding how to control the size of text and symbols in your plots ...

Horizontal Legends in Base R

October 10, 2023 | Steven P. Sanderson II, MPH

Introduction Creating a horizontal legend in base R can be a useful skill when you want to label multiple categories in a plot without taking up too much vertical space. In this blog post, we’ll explore various methods to create horizontal legen...

Steve's Data Tips and Tricks 2023-10-09 22:00:00

October 9, 2023 | Steven P. Sanderson II, MPH

Introduction Changing the size of the legend on a plot in R can be a handy skill, especially when you want to enhance the readability and aesthetics of your visualizations. In this blog post, we’ll explore different methods to resize legends on R...

Title: Mastering Legends in R: Drawing Them Outside the Plot

October 5, 2023 | Steven P. Sanderson II, MPH

Of course, Steve! I’d be delighted to help you write an engaging blog post about drawing a legend outside of a plot in base R. It’s a handy skill for R programmers, and I’m sure your readers will appreciate the guidance. Introduction Legends ar...

Steve's Data Tips and Tricks 2023-10-04 22:00:00

October 4, 2023 | Steven P. Sanderson II, MPH

Introduction As an R programmer, you may want to create added variable plots to visualize the relationship between a predictor variable and the response variable while controlling for the effects of other predictor variables. In this blog post, w...

Creating Stacked Dot Plots in R: A Guide with Base R and ggplot2

October 3, 2023 | Steven P. Sanderson II, MPH

Introduction Stacked dot plots are a type of plot that displays frequencies using dots, piled one over the other. In R, there are several ways to create stacked dot plots, including using base R and ggplot2. In this blog post, we will explore ho...

Creating Interactive Radar Charts in R with the ‘fmsb’ Library

October 2, 2023 | Steven P. Sanderson II, MPH

Introduction Radar charts, also known as spider, web, polar, or star plots, are a useful way to visualize multivariate data. In R, we can create radar charts using the fmsb library. Here are several examples of how to create radar charts in R us...

Horizontal Boxplots in R using the Palmer Penguins Data Set

October 1, 2023 | Steven P. Sanderson II, MPH

Introduction Boxplots are a great way to visualize the distribution of a numerical variable. They show the median, quartiles, and outliers of the data, and can be used to compare the distributions of multiple groups. Horizontal boxplots are a va...

Plotting Decision Trees in R with rpart and rpart.plot

September 28, 2023 | Steven P. Sanderson II, MPH

Introduction Decision trees are a powerful machine learning algorithm that can be used for both classification and regression tasks. They are easy to understand and interpret, and they can be used to build complex models without the need for fea...

How to Reorder Boxplots in R: A Comprehensive Guide

September 27, 2023 | Steven P. Sanderson II, MPH

Introduction Boxplots are a great way to visualize the distribution of a dataset. However, sometimes the default ordering of boxplots may not be ideal for the data being presented. In this blog post, we will explore how to reorder boxplots in R ...

Enhancing Your Data Visualizations with Base R: Overlaying Points and Lines

September 26, 2023 | Steven P. Sanderson II, MPH

Introduction Data visualization is a crucial aspect of data analysis and exploration. It allows us to gain insights, spot trends, and communicate our findings effectively. In R, there are numerous packages and libraries available for creating so...

Mastering Data Visualization with ggplot2: A Guide to Using facet_grid()

September 25, 2023 | Steven P. Sanderson II, MPH

Introduction Data visualization is a crucial tool in the data scientist’s toolkit. It allows us to explore and communicate complex patterns and insights effectively. In the world of R programming, one of the most powerful and versatile packages ...

Mastering Data Visualization with Pairs Plots in Base R

September 24, 2023 | Steven P. Sanderson II, MPH

Introduction Data visualization is a crucial tool in data analysis, allowing us to gain insights from our data quickly. One of the fundamental techniques for exploring relationships between variables is the pairs plot. In this blog post, we’ll d...

Creating Confidence Intervals for a Linear Model in R Using Base R and the Iris Dataset

September 21, 2023 | Steven P. Sanderson II, MPH

Introduction Linear regression is a fundamental statistical technique used to model the relationship between a dependent variable and one or more independent variables. While fitting a linear model is relatively straightforward in R, it’s also e...

Mastering Data Visualization in R: Plotting Predicted Values with the mtcars Dataset

September 19, 2023 | Steven P. Sanderson II, MPH

Introduction Data visualization is a powerful tool in a data scientist’s toolkit. It not only helps us understand our data but also presents it in a way that is easy to comprehend. In this blog post, we will explore how to plot predicted values ...

Exploring Data with Scatter Plots by Group in R

September 18, 2023 | Steven P. Sanderson II, MPH

Introduction Data visualization is a powerful tool for gaining insights from your data. Scatter plots, in particular, are excellent for visualizing relationships between two continuous variables. But what if you want to compare multiple groups w...

Mastering Histogram Breaks in R: Unveiling the Power of Data Visualization

September 17, 2023 | Steven P. Sanderson II, MPH

Introduction Histograms are a fundamental tool in data analysis and visualization, allowing us to explore the distribution of data quickly and effectively. While creating a histogram in R is straightforward, specifying breaks appropriately can m...

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