A tutorial for Discriminant Analysis of Principal Components (DAPC) using adegenet 1.3-0
نویسنده
چکیده
This vignette provides a tutorial for applying the Discriminant Analysis of Principal Components (DAPC [1]) using the adegenet package [2] for the R software [3]. This methods aims to identify and describe genetic clusters, although it can in fact be applied to any quantitative data. We illustrate how to use find.clusters to identify clusters, and dapc to describe the relationships between these clusters. More advanced topics are then introduced, such as advanced graphics, assessing the stability of DAPC results and using supplementary individuals.
منابع مشابه
A tutorial for Discriminant Analysis of Principal Components (DAPC) using adegenet 1.3-6
This vignette provides a tutorial for applying the Discriminant Analysis of Principal Components (DAPC [1]) using the adegenet package [2] for the R software [3]. This methods aims to identify and describe genetic clusters, although it can in fact be applied to any quantitative data. We illustrate how to use find.clusters to identify clusters, and dapc to describe the relationships between thes...
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