Category: sas

  • Ordinal logistic GM pigs

    Ordinal logistic GM pigs

    This week another ‘scary GMO cause disease’ story was doing the rounds in internet: A long-term toxicology study on pigs fed a combined genetically modified (GM) soy and GM maize diet. Andrew Kniss, a non-smokable weeds expert, mentioned in Twitter that the statistical analyses in the study appeared to be kind of dodgy. Curious, I…

  • Analyzing a simple experiment with heterogeneous variances using asreml, MCMCglmm and SAS

    I was working with a small experiment which includes families from two Eucalyptus species and thought it would be nice to code a first analysis using alternative approaches. The experiment is a randomized complete block design, with species as fixed effect and family and block as a random effects, while the response variable is growth…

  • Flotsam 11: mostly on books

    Flotsam 11: mostly on books

    ‘No estaba muerto, andaba the parranda’† as the song says. Although rather than partying it mostly has been reading, taking pictures and trying to learn how to record sounds. Here there are some things I’ve come across lately.

  • When R, or any other language, is not enough

    When R, or any other language, is not enough

    This post is tangential to R, although R has a fair share of the issues I mention here, which include research reproducibility, open source, paying for software, multiple languages, salt and pepper. There is an increasing interest in the reproducibility of research. In many topics we face multiple, often conflicting claims and as researchers we…

  • Teaching code, production code, benchmarks and new languages

    Teaching code, production code, benchmarks and new languages

    I’m a bit obsessive with words. May be I should have used learning in the title, rather than teaching code. Or perhaps remembering code. You know? Code where one actually has very clear idea of what is going on; for example, let’s say that we are calculating the average of a bunch of n numbers,…