# rstats

## Hierarchical Hospitals

Hierarchical Hospitals If the past year of working at a large hospital system has taught me one thing, it’s that hospitals are a Russian nesting doll of structure. Within the hospital system, there are several campuses.

## Finding new wedding bops with {tidyclust} and {spotifyr}

Last November, I (finally) popped the big question and proposed! Since then, my fiance and I have been diligently planning our wedding. While we have most of the big-ticket items checked off (venue, catering, photography, etc.

## Introducing {nplyr}

Data manipulation and transformation is a fundamental part of any analysis. There are excellent tools in the R ecosystem for manipulating data frames (dplyr, data.table, and arrow, to name a few).

## The Math Behind workboots

Generating prediction intervals with workboots hinges on a few core concepts: bootstrap resampling, estimating prediction error for each resample, and aggregating the resampled prediction errors for each observation. The bootstraps() documentation from {rsample} gives a concise definition of bootstrap resampling:

I recently picked up David Robinson’s book, Introduction to Empirical Bayes. It’s available online for a price of your own choosing (operating under a “pay-what-you-want” model), so you can technically pick it up for free, but it’s well worth the suggested price of \$9.

## Practical Data Visualization Tips for Excel Users

I am an avid R user and will always advocate that others use R (or another programming language) for generating reproducible visualizations. In just about every organization, however, Excel plays an important role in an analyst’s toolkit.

## "30 is not Statistical"

In my role as an analyst, my team and I are required to put together reports that summarize each hospital’s patient satisfaction performance in a table. These are reviewed by our system’s executive leadership team and the hospital directors in monthly operational reviews (MORs).

## Introducing {workboots}

Sometimes, we want a model that generates a range of possible outcomes around each prediction and may opt for a model that can generate a prediction interval, like a linear model.

## The Data Science Hierarchy of Needs

I’ve never built a house (shocking, I know), but from far too much time spent watching HGTV, I understand the basic gist of it. You lay a foundation, setup framing and walls, route mechanical and electrical, then work on final touches like painting and decorating (to be sure, I’m hand-waiving a lot of detail away here).

## Pull Yourself Up by Your Bootstraps

Note (3/14/22): This article was written prior to the release of the {workboots} package. Since the release of that package, I’ve discovered some errors with the methodology described here and would recommend instead referencing the post associated with the release.