knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of slimrlang is to provide an environment in which you can write SLiM population genetics simulation scripts from R. It works particularly well with RStudio, but any R IDE can be used. For much more advanced functionality in running and processing SLiM simulations from R, see the slimr
package which imports slimrlang
.
You can install the development version from GitHub with:
# install.packages("devtools") devtools::install_github("rdinnager/slimrlang")
Using slimrlang
, this is how you write the first example script (or recipe) from the (excellent) SLiM manual:
library(slimrlang) slim_script( slim_block(initialize(), { ## set the overall mutation rate initializeMutationRate(1e-7); ## m1 mutation type: neutral initializeMutationType("m1", 0.5, "f", 0.0); ## g1 genomic element type: uses m1 for all mutations initializeGenomicElementType("g1", m1, 1.0); ## uniform chromosome of length 100 kb initializeGenomicElement(g1, 0, 99999); ## uniform recombination along the chromosome initializeRecombinationRate(1e-8); }), slim_block(1, { sim.addSubpop("p1", 500); }), slim_block(10000, { sim.simulationFinished(); }) ) -> script_1 script_1
You can output this script to text to run in a standalone SLiM installation, or you can run it in SLiM directly from R using functions from the companion R package slimr
.
You can also do fancy stuff like make the above script or another script into a template that you can dynamically fill-in with parameters generated in R. You can also make SLiM generate R-friendly input. See the vignettes for details of these features and how to use them.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.