Oceanography data with ‘OCE’ in R
Oceanographers love two things. 1. Expensive equipment and 2. Matlab. I get the first one. I mean, who wouldn’t want to play with titantium 4km pressure rated CTDs or autonomous […]
Category Archives: R
Modeling completely separated data in R
Complete separation occurs when data is perfectly discriminated by a predictor. Let me illustrate (literally, haha). You’ll notice that the y-axis is binary, there are only 0s and 1s. That’s […]
Logistic Regression in R
My dog pants a lot. Don’t judge him. He’s brachycephalic (shorter skull/muzzle than other dogs), so he has issues thermoregulating. But he doesn’t always pant. Let me illustrate. Panting! Not […]
Spatial data using ‘raster’ in R
There’s a lot of freely available data out there. Much of this data is spatial and derived from remote sensing platforms (e.g. satellites). Here’s a quick primer on using the […]
Stacked time series in R
Stacked time series plots are cool. Vastly superior to double y-axis plots which are a big no no according to graph theory. Exhibit A and Exhibit B. If Hadley Wickham […]
converting wide to long format in R
I’ve heard California is parched. Though, I wouldn’t know. I’m in Maryland now and we’re staring at Hurricane Joaquin who was threatening to wash the east coast into the Atlantic […]
LoveWins
Courtesy dj patil Data sci & news today v/ @hadleywickham ggplot(data.frame(x=1:7),aes(x=1,y=x,fill=x))+geom_raster()+scale_fill_gradientn(colours=rainbow(7)) — dj patil (@dpatil) June 26, 2015
R Saved my marriage
So a few weeks back, I lost my wedding ring. It’s pretty common for me to take it off (e.g. while doing field work, while fidgeting at my desk while […]
Modeling Logistic Growth Data in R
My dog rocks. Wilson is friendly to almost everyone (mailmen excepted) and he’s very soft. We’ve had him since he was a puppy and because the wife and I are […]
marine global change ecology 