Blog

Collection of posts about things I like (R, stats, ecology)

Disclaimer: I am 100% self-taught in stats (actually, in R as well). So, read my posts with due caution. I am writing this blog to have ideas, concepts, intuitions fixed somewhere. Also, I like to think that the content of this blog will help people who do not have a background in statistics (like me) to get familiar with topics that are generally hard to grasp (at least, they are to me). I welcome comments, critics, suggestions and all sort of interactions that can improve the content of this blog. To reach me, go to the home page and choose the channel you prefer to get in touch with me! Thanks for reading!

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Maps of confidence intervals for occurrence probability in SDMs
[WORK IN PROGRESS!!] Typical outputs of species distribution models (SDM) are maps of the predicted probability of occurrence of species across the study area. These probabilities of occurrence are estimated from the fitted SDM, and, therefore, inevitably bring uncertainty with them (they are estimated from the data).
Last updated on Jan 1, 2023
What the heck is a random variable?
Having no background in statistics, understanding what a random variable is was a nightmare for me. The funny part was when I realized that, in the end, a random variable can be different things, but never exclusively a single one (I am aware this is not helpful).
Last updated on Dec 1, 2022
Population variance, sample variance and sample size
What’s the relationship between population variance, sample variance and sample size? This question is pretty broad, and opens up to a lot of interesting issues that have challenged my understanding of the relationship between sample size, variance and bias of estimators.
Last updated on Nov 22, 2022
Confidence intervals, the random intervals
Lot of people, including me, are struggling with the concept of (or idea behind) confidence intervals. One possible explanation is that understanding confidence intervals requires some capacity of abstract thinking. In the frequentist world, a parameter is a fixed, deterministic number, while an estimator (such as the average) is, by definition, a function of the data and, as such, its value changes from one sample to another (i.
Last updated on Oct 31, 2022
My first blog post
After a first day of struggling with Atom + Hugo + GitHub + others, which means I have been pushing and committing (other way around) the whole day, I am finally trying to write down something.
Last updated on Oct 22, 2022