knitr::opts_chunk$set(collapse = TRUE, comment = "#>", out.width = "75%", dpi = 600, fig.path = "README-", fig.retina = NULL, fig.asp = 1 / 1.6, fig.width = 5)
library("devtools") install_github("dipetkov/reemsplots2")
Now, with the function make_eems_plots
, we can produce a set of several figures to visualize the results of analyzing geo-referenced genetic data with EEMS as well as to evaluate the EEMS model fit.
library("reemsplots2") mcmcpath <- system.file("extdata", "EEMS-example", package = "reemsplots2") plots <- make_eems_plots(mcmcpath, longlat = TRUE) names(plots)
plots$mrates01
plots$mrates02
plots$qrates01
plots$qrates02
plots$rdist01
plots$rdist02
plots$rdist03
plots$pilogl01
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