Getting Started with R Markdown

I often use R Markdown for my research projects or any kind of data analysis (if you’re familiar with Python, they are similar to Jupyter notebooks). There are many advantages to using R Markdown over writing R scripts. One of the major ones is the ease with which it allows me to turn my work into something presentable for my advisor or other collaborators. By using R Markdown, I don’t have to track down a bunch of plots and files or really do any additional work to organize them.

My First JSM

Last week, I attended JSM (Joint Statistical Meetings) in Denver. It was my first conference ever, so I made sure to record down my thoughts. Since I wasn’t presenting at this conference, I had the luxury of being able to attend sessions without feeling anxious. And that was really great because I think getting to see what conferences are like before I present at one makes it less intimidating.

5 R Packages to Simplify Your Data Science Workflow

I just finished my second year in the PhD program, which means 2 years of writing a lot of R code. Today, I wanted to share some useful (and perhaps lesser known) R packages that I use. pacman for loading packages This package contains an awesome function called p_load. I prefer the concise way it lets you load packages, as opposed to writing library(package) over and over again.

10 Tips and Tricks for Statistical Proofs

I’ve been taking probability theory this year and I noticed that a lot of proofs will assume that the reader already knows some commonly used “tricks.” If you aren’t familiar with them, it can be hard to follow the proofs in the textbook,1 let alone prove it yourself. I felt like this was happening to me a lot, so in an effort to better familiarize myself, I’ve written down some useful tips and tricks, along with explanations and/or examples.

Should You Get a PhD (in biostatistics)?

Throughout the process of applying to graduate school, I felt unsure about whether getting a PhD was a good idea. I remember Googling “should I get a PhD” just to see what I could find out of curiosity. Chances are, if you’re reading this post, you’re in a similar boat. As a now second-year PhD student in biostatistics, I think I have a better idea of whether being in a PhD program has been a good choice for me and I’ll share what I think would’ve been useful for me to know back when I was applying.