Articles by Steven P. Sanderson II, MPH

Unlocking the Power of Time: Transforming Data Frames into Time Series in R

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

Introduction Hey there, fellow R enthusiasts! Today, we’re diving into the realm of time series, where data dances along the temporal dimension. To join this rhythmic analysis, we’ll first learn how to convert our trusty data frames into time se... [Read more...]

Unveiling the Time Traveler: Plotting Time Series in R

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

Introduction Ready to journey through time with R? Buckle up, because we’re about to explore the art of visualizing time-dependent data, known as time series analysis. Whether you’re tracking monthly sales patterns or analyzing yearly climate tr...

Creating Time Series in R with the ts() Function

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

Introduction Time series analysis is a powerful tool in the hands of a data scientist or analyst. It allows us to uncover patterns, trends, and insights hidden within temporal data. In this blog post, we’ll explore how to create a time series in...

A Gentle Introduction to Poisson Regression for Count Data: School’s Out, Job Offers Incoming!

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

Introduction Hey data enthusiasts! Today, we’re diving into the fascinating world of count data and its trusty sidekick, Poisson regression. Buckle up, because we’re about to explore how this statistical powerhouse helps us understand the factor...

Exploring Variance Inflation Factor (VIF) in R: A Practical Guide

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

Introduction Hey there fellow R enthusiasts! Today, we’re diving into the fascinating world of Variance Inflation Factor (VIF) and how to calculate it using R. VIF is a crucial metric that helps us understand the level of multicollinearity among...

Demystifying Odds Ratios in Logistic Regression: Your R Recipe for Loan Defaults

December 14, 2023 | Steven P. Sanderson II, MPH

Introduction Ever wondered why some individuals default on loans while others don’t? Logistic regression can shed light on this, and calculating odds ratios in R is the secret sauce. So, strap on your data aprons, folks, and let’s cook up some i... [Read more...]

Decoding the Mystery: How to Interpret Regression Output in R Like a Champ

December 13, 2023 | Steven P. Sanderson II, MPH

Introduction Ever run an R regression and stared at the output, feeling like you’re deciphering an ancient scroll? Fear not, fellow data enthusiasts! Today, we’ll crack the code and turn those statistics into meaningful insights. Let’s grab our ... [Read more...]

Conquering Unequal Variance with Weighted Least Squares in R: A Practical Guide

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

Introduction Tired of your least-squares regression model giving wonky results because some data points shout louder than others? Meet Weighted Least Squares (WLS), the superhero of regression, ready to tackle unequal variance (heteroscedasticit...

Exploring TidyAML: Simplifying Regression Analysis in R

December 7, 2023 | Steven P. Sanderson II, MPH

Introduction If you’re a data enthusiast diving into the world of regression analysis in R, you’ve likely encountered the challenges of managing code complexity and juggling different modeling engines. The good news is that there’s a powerful to...

Unraveling Patterns: A Step-by-Step Guide to Piecewise Regression in R

December 6, 2023 | Steven P. Sanderson II, MPH

Introduction Hey there, fellow R enthusiasts! Today, let’s embark on a fascinating journey into the realm of piecewise regression using R. If you’ve ever wondered how to uncover hidden trends and breakpoints in your data, you’re in for a treat. ...

A Complete Guide to Stepwise Regression in R

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

Introduction Stepwise regression is a powerful technique used to build predictive models by iteratively adding or removing variables based on statistical criteria. In R, this can be achieved using functions like step() or manually with forward a...

Unveiling the Magic of Polynomial Regression in R: A Step-by-Step Guide

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

Introduction Hey folks! 👋 Today, let’s embark on a coding adventure and explore the fascinating world of Polynomial Regression in R. Whether you’re new to R or a seasoned coder, we’re going to break down the complexities and make this journey en...

Understanding Spline Regression

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

Introduction Spline regression is particularly useful when the relationship between the independent and dependent variables is not adequately captured by a linear model. It involves fitting a piecewise continuous curve (spline) to the data. Let’...

tidyAML: Now supporting gee models

November 30, 2023 | Steven P. Sanderson II, MPH

Introduction I am happy to announce that a new version of tidyAML is now available on CRAN. This version includes support for gee models. This is a big step forward for tidyAML as it now supports a wide variety of regression and classification m... [Read more...]

Navigating Quantile Regression with R: A Comprehensive Guide

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

Introduction Quantile regression is a robust statistical method that goes beyond traditional linear regression by allowing us to model the relationship between variables at different quantiles of the response distribution. In this blog post, we’...

Understanding and Implementing Robust Regression in R

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

Introduction If you’re familiar with linear regression in R, you’ve probably encountered the traditional lm() function. While this is a powerful tool, it might not be the best choice when dealing with outliers or influential observations. In suc...

Unveiling Power Regression: A Step-by-Step Guide in R

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

Introduction In the realm of statistics, power regression stands out as a versatile tool for exploring the relationship between two variables, where one variable is the power of the other. This type of regression is particularly useful when ther...

Unveiling the Magic of LOESS Regression in R: A Step-by-Step Guide with mtcars

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

Introduction If you’ve ever found yourself grappling with noisy data and yearning for a smoother representation, LOESS regression might be the enchanting solution you’re seeking. In this blog post, we’ll unravel the mysteries of LOESS regression...

Logarithmic Regression in R: A Step-by-Step Guide with Prediction Intervals

November 20, 2023 | Steven P. Sanderson II, MPH

Introduction Logarithmic regression is a statistical technique used to model the relationship between a dependent variable and an independent variable when the relationship is logarithmic. In other words, it is used to model situations where the...

Mastering Exponential Regression in R: A Step-by-Step Guide

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

Introduction Hey folks, welcome back to another exciting R programming journey! Today, we’re diving into the fascinating world of exponential regression using base R. Exponential regression is a powerful tool, especially in the realm of data sci...

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