Introduction I’m excited to announce that the R package {tidyAML} is now officially available on CRAN! This package is designed to make it easy for users to perform automated machine learning (AutoML) using the tidymodels ecosystem. With a simpl... [Read more...]

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Introduction Today I am going to make a short post on the R package {box} which was showcased to me quite nicely by Michael Miles. It was informative and I was able to immediately see the usefulness of the {box} library. So what is ‘box’? Well h... [Read more...]

Introduction Are you tired of spending hours tuning and testing different machine learning models for your regression or classification problems? The new R package {tidyAML} is here to simplify the process for you! tidyAML is a simple interface ... [Read more...]

Introduction Getting data for health care in the US can sometimes be hard. With my R package {healthyR.data} I am hoping to alleviate some of that pain. Right now the package is bring actively developed from what was a simple yet sleepy simulate... [Read more...]

Introduction I am almost ready for a first release of my R package {tidyAML}. The purpose of this is to act as a way of quickly generating models using the parsnip package and keeping things inside of the tidymodels framework allowing users to s... [Read more...]

Introduction When working in R I find it best to create a new project when working on something. This keeps all of the data and scripts in one location. This also means that if you are not careful the directory you have your project in can becom... [Read more...]

Introduction In R, lists are a fundamental data structure that allows us to store multiple objects of different data types under a single name. Often times, we want to extract certain elements of a list based on their names, and this can be acco... [Read more...]

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Introduction I am working on finishing up a few things with my new R package {tidyAML} before I release it to CRAN. One of those things is the ability of a user to build a model using a command that might be something like generate_model(). One ... [Read more...]

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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...]

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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...]

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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...]

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...]