Articles by Steven P. Sanderson II, MPH

Service Line Grouping with {healthyR}

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

Introduction Healthcare data analysis can be a complex and time-consuming task, but it doesn’t have to be. Meet {healthyR}, your new go-to R package for all things healthcare data analysis. With {healthyR}, you can easily and efficiently analyze... [Read more...]

Transforming Your Data: A Guide to Popular Methods and How to Implement Them with {healthyR.ai}

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

Introduction Transforming data refers to the process of changing the scale or distribution of a variable in order to make it more suitable for analysis. There are many different methods for transforming data, and each has its own specific use ca...

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Simplifying List Filtering in R with purrr’s keep()

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

Introduction The {purrr} package in R is a powerful tool for working with lists and other data structures. One particularly useful function in the package is keep(), which allows you to filter a list by keeping only the elements that meet certai... [Read more...]

Making Non Stationary Data Stationary

January 23, 2023 | Steven P. Sanderson II, MPH

Introduction In the most basic sense for time series, a series is stationary if the properties of the generating process (the process that generates the data) do not change over time, the process remains constant. This does not mean the data doe...

[Read more...]

ADF and Phillips-Perron Tests for Stationarity using lists

January 22, 2023 | Steven P. Sanderson II, MPH

Introduction A time series is a set of data points collected at regular intervals of time. Sometimes, the data points in a time series change over time in a predictable way. This is called a stationary time series. Other times, the data points c... [Read more...]

Another Post on Lists

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

Introduction Manipulating lists in R is a powerful tool for organizing and analyzing data. Here are a few common ways to manipulate lists: Indexing: Lists can be indexed using square brackets “[ ]” and numeric indices. For example, to access th... [Read more...]

Boilerplate XGBoost with {healthyR.ai}

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

Introduction XGBoost, short for “eXtreme Gradient Boosting,” is a powerful and popular machine learning library that is specifically designed for gradient boosting. It is an open-source library and is available in many programming languages, inc...

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Geometric Brownian Motion with {healthyR.ts}

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

Introduction Geometric Brownian motion (GBM) is a widely used model in financial analysis for modeling the behavior of stock prices. It is a stochastic process that describes the evolution of a stock price over time, assuming that the stock pric...

$dS(t) = μS(t)dt + σS(t)dW(t)$

[Read more...]

Augmenting a Brownian Motion to a Time Series with {healthyR.ts}

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

Introduction Time series analysis is a crucial tool for forecasting and understanding trends in various industries, including finance, economics, and engineering. However, traditional time series analysis methods can be limiting, and they may no...

[Read more...]

Auto K-Means with {healthyR.ai}

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

Introduction Today’s post is going to center around the automatic k-means functionality of {healthyR.ai}. I am not going to get into what it is or how it works, but rather the function call itself and how it works and what it puts out. The funct...

[Read more...]

The building of {tidyAML}

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

Introduction Yesterday I posted on An Update to {tidyAML} where I was discussing some of my thought process and how things could potentially work for the package. Today I want to showcase how the function fast_regression_parsnip_spec_tbl() and i... [Read more...]

An Update on {tidyAML}

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

Introduction I have been doing a lot of work on a new package called {tidyAML}. {tidyAML} is a new R package that makes it easy to use the {tidymodels} ecosystem to perform automated machine learning (AutoML). This package provides a simple and ... [Read more...]

Reflecting on the Past Year: A LinkedIn Year in Review

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

Introduction As we close the door on another year, it’s always a good time to look back and reflect on the past 12 months. And what better way to do that than with a LinkedIn Year in Review? Whether you’re a job seeker, a business owner, or just...

[Read more...]

Optimal Break Points for Histograms with {healthyR}

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

Introduction Histogram binning is a technique used in data visualization to group continuous data into a set of discrete bins, or intervals. The purpose of histogram binning is to represent the distribution of a dataset in a graphical format, al...

[Read more...]

New Release of {healthyR.ts}

January 8, 2023 | Steven P. Sanderson II, MPH

Introduction Hello R users! I am excited to announce a new update to the {healthyR.ts} package: the ts_brownian_motion() function. This function allows you to easily simulate brownian motion, also known as a Wiener process, using just a few para... [Read more...]

Brownian Motion

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

Introduction Brownian motion, also known as the random motion of particles suspended in a fluid, is a phenomenon that was first described by Scottish botanist Robert Brown in 1827. It occurs when a particle is subjected to a series of random col...

$\frac{dx_t}{dt} = \mu + \sigma \cdot W_t$

[Read more...]

More Randomwalks with {TidyDensity}

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

Introduction Random walks are a mathematical concept that have found various applications in fields such as economics, biology, and computer science. At a high level, a random walk refers to a process in which a set of objects move in a random d...

[Read more...]

Calendar Heatmap with {healthyR.ts}

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

Introduction Calendar heatmaps are a useful visualization tool for understanding patterns and trends in time series data. They are particularly useful for displaying daily data, as they allow for the visualization of multiple weeks or months at ... [Read more...]

Event Analysis with {healthyR.ts}

December 29, 2022 | Steven P. Sanderson II, MPH

Introduction Time-to-event analysis, also known as survival analysis, is a statistical technique used to analyze the length of time until an event occurs. This type of analysis is often used in fields such as healthcare, engineering, and finance...

[Read more...]

Gartner Magic Chart and its usefulness in healthcare analytics with {healthyR}

December 28, 2022 | Steven P. Sanderson II, MPH

Introduction The Gartner Magic Chart is a powerful tool for analyzing healthcare data and identifying trends and patterns that can inform decision making. It was developed by Dr. James Gartner in the early 2000s as a way to visualize the re...

[Read more...]

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R-bloggers

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Articles by Steven P. Sanderson II, MPH

Service Line Grouping with {healthyR}

Transforming Your Data: A Guide to Popular Methods and How to Implement Them with {healthyR.ai}

Simplifying List Filtering in R with purrr’s keep()

Making Non Stationary Data Stationary

ADF and Phillips-Perron Tests for Stationarity using lists

Another Post on Lists

Boilerplate XGBoost with {healthyR.ai}

Geometric Brownian Motion with {healthyR.ts}

Augmenting a Brownian Motion to a Time Series with {healthyR.ts}

Auto K-Means with {healthyR.ai}

The building of {tidyAML}

An Update on {tidyAML}

Reflecting on the Past Year: A LinkedIn Year in Review

Optimal Break Points for Histograms with {healthyR}

New Release of {healthyR.ts}

Brownian Motion

More Randomwalks with {TidyDensity}

Calendar Heatmap with {healthyR.ts}

Event Analysis with {healthyR.ts}

Gartner Magic Chart and its usefulness in healthcare analytics with {healthyR}

Articles by Steven P. Sanderson II, MPH

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