Category Archives: R

Geographical Heat Maps in R

I go crazy for fancy data visualizations in R, and a figure in a recent publication has had me wondering if there is an easy way to incorporate density distributions (or as in their case, a distribution of f4 statistics, … Continue reading

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Quick and dirty tree building in R

One of the major obstacles to turning your sequence data into phylogenetic trees is choosing (and learning) a tree-building program. Confounding this problem is the fact that most researchers will want to perform numerous, complementary analyses, each of which may … Continue reading

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Genomics of Hybridization – Part II, Top three of 2015

Death Valley pupfishes (Cyprinodon) are among the most endangered vertebrates on earth, with small inbred populations, with heavy risks of extinction in extreme environments. Martin et al. (2016) in a recent publication quantify diversity and adaptability in a very small population … Continue reading

Posted in bioinformatics, conservation, genomics, methods, natural history, next generation sequencing, population genetics, R, software, speciation, STRUCTURE, theory | Tagged , , , , | Leave a comment

2D Posterior Density Plots in R

I have been grappling with visualizing two dimensional histograms of posterior density distributions of parameters, as estimated by one of your favorite programs – IMa2, MIGRATE-n, MSVAR, etc. All these programs print out distributions of estimated parameters, and here’s a … Continue reading

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Models matter when linking genetic diversity to niche model predictions

Ecological niche models and the methods to create them continue to evolve. These techniques provide a tidy way to relate the distributions of taxa to environmental variables from the present, past, or future. Oh, and they are pretty too: Those pretty … Continue reading

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PCA of multilocus genotypes in R

An earlier post from Mark Christie showed up on my feed on calculating allele frequencies from genotypic data in R, and I wanted to put together a quick tutorial on making PCA (Principal Components Analysis) plots using genotypes. I used … Continue reading

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marmap

A couple years ago, Benoit Simon-Bouhet ended up sharing an office with Eric Pante, then a post-doc fellow in his former lab. The two quickly realized they were in a lab in which few people had the expertise or taste for coding. Thus, on … Continue reading

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