From character to numeric pedigrees

Breakdancing in Ancud, Chiloé.

In quantitative genetic analyses we often use a pedigree to represent the relatedness between individuals, so this is accounted in the analyses, because the observations are not independent of each other. Often this pedigree contains alphanumeric labels, and most software can cope with that. Sometimes, though, we want to use numeric identities because we would… Continue reading From character to numeric pedigrees

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Being data curious: the strange case of lamb consumption in NZ

Sheep meat consumption, kg/person. Data from OECD statistics.

There is a lot of talk about the skills needed for working in Statistics/Data Science, with the discussion often focusing on theoretical understanding, programming languages, exploratory data analysis, and visualization. There are many good blog posts dealing with how you get data, process it with your favorite language and then creating some good-looking plots. However,… Continue reading Being data curious: the strange case of lamb consumption in NZ

Reducing friction in R to avoid Excel

View of my desk in research mode, including friendly robot (Photo: Luis, click to enlarge).

When you have students working in a project there is always an element of quality control. Some times the results just make sense, while others we are suspicious about something going wrong. This means going back to check the whole analysis process: can we retrace all the steps in a calculation (going back to data… Continue reading Reducing friction in R to avoid Excel