For full disclosure: At time of writing, on Board Game Arena, I hold a player rating of over 500 ("expert") across 400 matches played in Castles of Burgundy, and I regularly place in the top 5 in tournaments on the site. So, while there are some people who win more consistently on the site than … Continue reading How to Win At “The Castles of Burgundy” (Advanced Players Guide)
You’ve Probably Been Trained to Think About “Outliers” ALL Wrong, and You Need to Stop.
Use the Table of Contents below to quickly navigate this article! "Outliers are 'extreme' data points and thus bad and thus I can and should find and remove them."At best, the common outlier mentality articulated above is problematic. At worst, it's entirely wrong. Reason #1: The corresponding "inverse logic" doesn't hold at all.Reason #2: "Extreme" … Continue reading You’ve Probably Been Trained to Think About “Outliers” ALL Wrong, and You Need to Stop.
CHECKLIST FOR COMPLETING A GRADUATE-LEVEL SCIENTIFIC RESEARCH PROJECT (A THESIS OR DISSERTATION)
If you'd like a Word version of this exact post, you can find it below from July 2023! Graduate Research Project Checklist Bajcz A July 2023Download Preamble:Who made this: Why Alex made this: How to view this document:PHASE 1 – STUDY DESIGNPHASE 2 – DATA COLLECTIONPHASE 3 – DATA ANALYSISPHASE 4 – COMMUNICATION OF RESULTSFootnotes: … Continue reading CHECKLIST FOR COMPLETING A GRADUATE-LEVEL SCIENTIFIC RESEARCH PROJECT (A THESIS OR DISSERTATION)
How to understand logistic (and binomial) regressions: An applied crash course for ecologists
Use the Table of Contents below to navigate this article quicker! What's so wrong with a line for binary data?Problem 1: The line predicts, at intermediate levels of herbicide, a numerical outcome in between "alive" and "dead." Problem 2: The line predicts, at low or high levels of herbicide, outcomes past "dead" or "alive."Problem #3: … Continue reading How to understand logistic (and binomial) regressions: An applied crash course for ecologists
Alex’s R Shiny Manual — (Hopefully) Everything You’d Need to Build a Cool Shiny App for a Scientific Research Project
Disclaimer #1: This is meant to be a "living document." While I can imagine maybe reaching an "endpoint" for it someday, it is meant to be a framework that I fill in and add to as time allows. So, stop by often! In the meantime, expect sections to come and go, to be empty, or … Continue reading Alex’s R Shiny Manual — (Hopefully) Everything You’d Need to Build a Cool Shiny App for a Scientific Research Project
Alex’s Beastery of Graphics–How to Pick the Right Graph Type For Your Data Every Time Using Just Three Simple Questions
Use the Table of Contents below to navigate this article quickly! The Three Questions to Pick the Right Graph Type Every. Single. Time!How Knowing the Answer to the First Question Helps UsAlex's "Beastery of Graphics!"One VariableGraph Types For One Categorical VariableGraph Types For One Quantitative VariableTwo VariablesGraph Types For Two Quantitative VariablesGraph Types For Two … Continue reading Alex’s Beastery of Graphics–How to Pick the Right Graph Type For Your Data Every Time Using Just Three Simple Questions
How to win at Splendor–an intermediate strategy guide
Use this Table of Contents to quickly navigate this article! Key Concept #1: Splendor is a game to 15 pointsKey Concept #2: Splendor is a raceKey Concept #3: Find your own laneKey Concept #4: Know the three broad strategiesThe "Unstoppable force" strategyThe "Maximum-efficiency" strategyThe "Middle of the Road" strategyKey Concept #5: Nobles are "bonus"Key Concept … Continue reading How to win at Splendor–an intermediate strategy guide
Being PC: Knowing When, How, Why, and Whether to Correct Your P Values
Recently, it came to my attention that some of the researchers in my Center were not all that familiar with the concept of p value corrections. I was initially surprised, but in retrospect, I probably shouldn’t have been! I think my first introduction to the idea actually came from a reviewer on one of my manuscripts, not from … Continue reading Being PC: Knowing When, How, Why, and Whether to Correct Your P Values
Thinking of Offsetting Your Carbon? Good Luck! Here’s Your (Not So Simple) Checklist for Success
As an Environmental Scientist (not to mention the partner of a climate scientist!), I've wanted to write a post on the subject of carbon offsets for a very long time, even though it's not technically in the purview of my current position as the quantitative ecologist for a research center studying invasive species. After seeing … Continue reading Thinking of Offsetting Your Carbon? Good Luck! Here’s Your (Not So Simple) Checklist for Success
Thinking Inside the Polygon: Using R to do complex spatial analyses on lakes with strange shapes reproducibly!
For this post, check out the HTML I've produced using R Markdown, linked to below over on RPubs! Click here to check out my post! Click here to watch my presentation on this topic at the University of Minnesota's Day of Data event! My talk begins at 1 hour, 30 minutes, and 15 seconds in. … Continue reading Thinking Inside the Polygon: Using R to do complex spatial analyses on lakes with strange shapes reproducibly!
Alex Bajcz, Quantitative Ecologist 