Articles by Bluecology blog

Universal inference in R

July 8, 2020 | Bluecology blog

Universal inference in R When we perform a statistical test we’d like to have confidence what the Type I error rate is what we say it is (rate of false positive findings). Often scientists choose a rate (AKA ‘alpha’) of 0.05 for rejecting the nu... [Read more...]

Time sinks for data wrangling

April 30, 2020 | Bluecology blog

Time sinks for data wrangling Estimating the time it will take to complete a project is an important part of being a successful PhD student, researcher or consultant. A major time sink on many analytical projects is data wrangling. Often the wranglin... [Read more...]

Three ways to calculate distances in R

February 7, 2020 | Bluecology blog

Three ways to calculate distances in R Calculating a distance on a map sounds straightforward, but it can be confusing how many different ways there are to do this in R. This complexity arises because there are different ways of defining ‘distance?... [Read more...]

GLM tip getting non-linear with splines

September 20, 2019 | Bluecology blog

GLM tips: get non-linear with splines This tip is great for a quick non-linear test, before you go all the way with a GAM or parametric non-linear model. You’ll need the splines library, which comes shipped with R anyway. First, let’s make up a ... [Read more...]

R courses February 2020

August 11, 2019 | Bluecology blog

R courses February 2020 Our next series of R courses for professionals and graduate students is now open for registration. The courses include 1-day for absolute beginners, 3 days for intermediate material and 3 days for the advanced class. They are r... [Read more...]

Diary of becoming a Bayesian

March 17, 2019 | Bluecology blog

Diary of becoming a Bayesian Here’s my timeline of going from frequentist stats to becoming a fully fledged Bayesian eco-statistician. 2006 Read the Ecological Detective (Hilborn and Walters), the philosophy makes sense, the history of falsificatio... [Read more...]

A brief guide to data visuals in R in 2018

July 3, 2018 | Bluecology blog

Data visuals 2018 Supplementary notes for CJ Brown’s talks on dataviz in 2018 for Griffith University’s honours students and the UQ Winterschool in Bioinformatics. These notes run through some of the principles I present and also show R code for generating data visuals. If you want to take the dataviz ... [Read more...]

How do I interpret the AIC

April 12, 2018 | Bluecology blog

How do I interpret the AIC? My student asked today how to interpret the AIC (Akaike’s Information Criteria) statistic for model selection. We ended up bashing out some R code to demonstrate how to calculate the AIC for a simple GLM (general linear model). I always think if you ... [Read more...]
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