Vocab Word: Multicollinearity

I'm going to continue highlighting words I get asked about regularly. Today's feature: multicollinearity! This is a word you've probably heard about in stats class, but might not know specifically what it is or why it matters. We worry about multicollinearity when we are using multiple independent variables to model one output. One of your… Continue reading Vocab Word: Multicollinearity

Data Downloads: 2017 Ag Census

The 2017 Census of Agriculture results will be released on Thursday, April 11th. If you're looking for updated production information, this is a great resource. Here are some quick facts about the census and some ways to see the results! What is the Census of Agriculture? It's a record of all the humans, animals, and… Continue reading Data Downloads: 2017 Ag Census

Averaging Plot Data in R

In agronomy research, its very common to collect 10 plants from a single plot, take measurements on them, and average those measurements. The plot average is the value we run statistics on, whether that means building a regression or running an ANOVA. I've recently seen a lot of my fellow grad students averaging measurements by… Continue reading Averaging Plot Data in R

Random Forest

Machine learning algorithms are cool because the can handle continuous and categorical variables and have few assumptions about data distribution. As the name machine learning would imply, it's a highly automated process. Sometimes they take a while to compute, but the computer can be unsupervised during that time. One machine learning algorithm I use in… Continue reading Random Forest