Category: teaching

  • R is a language

    A commenter on this blog reminded me of one of the frustrating aspects faced by newbies, not only to R but to any other programming environment (I am thinking of typical students doing stats for the first time). The statement “R is a language” sounds perfectly harmless if you have previous exposure to programming. However,…

  • R, academia and the democratization of statistics

    R, academia and the democratization of statistics

    I am not a statistician but I use statistics, teach statistics and write about applications of statistics in biological problems. Last week I was in this biostatistics conference, talking with a Ph.D. student who was surprised about this situation because I didn’t have any statistical training. I corrected “any formal training”. On the first day…

  • On the (statistical) road, workshops and R

    Things have been a bit quiet at Quantum Forest during the last ten days. Last Monday (Sunday for most readers) I flew to Australia to attend a couple of one-day workshops; one on spatial analysis (in Sydney) and another one on modern applications of linear mixed models (in Wollongong). This will be followed by attending…

  • If you are writing a book on Bayesian statistics

    If you are writing a book on Bayesian statistics

    This post is somewhat marginal to R in that there are several statistical systems that could be used to tackle the problem. Bayesian statistics is one of those topics that I would like to understand better, much better, in fact. Unfortunately, I struggle to get the time to attend courses on the topic between running…

  • Teaching with R: the tools

    I bought an Android phone, nothing fancy just my first foray in the smartphone world, which is a big change coming from the dumb phone world(*). Everything is different and I am back at being a newbie; this is what many students feel the same time they are exposed to R. However, and before getting…