R

COVID-19 pushed me to try something new in my classroom, and I loved it!

In March (which feels like years ago, now), when Universities started seriously thinking about their response to COVID-19, I was teaching Ecological Models and Data as instructor of record and finishing my dissertation up.

webchem

An R package for accessing chemical information from the web.

Hacking GLMs to fit population growth models

I’m currently teaching Ecological Statistics and Data, a class I inherited from Lee Brown and Elizabeth Crone. In a lecture on population dynamics, they do some really cool things with generalized linear model—things that I don’t think are standard practice and as far as I can tell from googling, aren’t well documented.

My first R package is on CRAN!

I woke up this morning to an email saying my first R package, holodeck, was on it’s way to CRAN! It’s a humble package, providing a framework for quickly slapping together test data with different degrees of correlation between variables and differentiation among levels of a categorical variable.

RStudio::conf reflections

This was my first time attending RStudio::conf, and I went primarily to explore my career options in data science. I mainly stuck to teaching and modeling related talks since that’s how I already use R.

Interactive effects of drought severity and simulated herbivory on tea (Camellia sinensis) volatile and non-volatile metabolites

Plants often experience multiple sources of stress simultaneously, yet little is known about interactive effects of multiple stressors on plant metabolic responses. Plants are well known to respond to both drought and insect herbivory through the …

Use of partial least squares regression (PLS) in ecology

PLS is a powerful multivariate regression method that has many applications for ecological data. When is it best used, what are its advantages, and how should you report your results?

Retrieve chemical retention indices from NIST with {webchem}!

My PhD has involved learning a lot more than I expected about analytical chemistry, and as I’ve been learning, I’ve been trying my best to make my life easier by writing R functions to help me out.

Python is Weird (an unabashedly biased intro to Python for R users)

Last semester I took a class that used Python. It was my first time really seriously using any programing language other than R. The students were about half engineers and half biologists.

Cupcakes vs. Muffins

One thing I’ve learned from my PhD at Tufts is that I really enjoy working data wrangling, visualization, and statistics in R. I enjoy it so much, that lately I’ve been strongly considering a career in data science after graduation.