species.clusteRs is an in-development package for performing clustering-based species delimitation on SNP data from natural populations.
You can install the development version from GitHub using the following code:
# install.packages("devtools")
devtools::install_github("DevonDeRaad/species.clusteRs")
This is a basic example which shows you how to solve a common problem:
library(species.clusteRs)
## basic example code for unsupervised clustering using PCA for dimensionality reduction
pcs<-cluster_pca(vcfR = species.clusteRs::vcfR.example,
popmap = species.clusteRs::popmap)
#> Loading required namespace: adegenet
#> Registered S3 method overwritten by 'spdep':
#> method from
#> plot.mst ape
#basic example code for using tsne for dimensionality rection
tsne<-cluster_tsne(vcfR = species.clusteRs::vcfR.example,
popmap = species.clusteRs::popmap)
#Does decreasing perplexity improve cluster discrimination?
tsne<-cluster_tsne(vcfR = species.clusteRs::vcfR.example,
popmap = species.clusteRs::popmap,
perplexity = 3)
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