Description Usage Arguments Details Value Copyright Author(s)
Documentation for SLiM function setDistribution
, which is a method of the
SLiM class MutationType
.
Note that the R function is a stub, it does not do anything in R (except bring
up this documentation). It will only do
anything useful when used inside a slim_block
function further
nested in a slim_script
function call, where it will be translated into valid SLiM code as part of a
full SLiM script.
1 | setDistribution(distributionType, ...)
|
distributionType |
An object of type string. Must be of length 1 (a singleton). See details for description. |
... |
An object of type NA. NA See details for description. |
Set the distribution of fitness effects for a mutation type. The distributionType may be "f", in which case the ellipsis ... should supply a numeric$ fixed selection coefficient; "e", in which case the ellipsis should supply a numeric$ mean selection coefficient for the exponential distribution; "g", in which case the ellipsis should supply a numeric$ mean selection coefficient and a numeric$ alpha shape parameter for a gamma distribution; "n", in which case the ellipsis should supply a numeric$ mean selection coefficient and a numeric$ sigma (standard deviation) parameter for a normal distribution; "w", in which case the ellipsis should supply a numeric$ λ scale parameter and a numeric$ k shape parameter for a Weibull distribution; or "s", in which case the ellipsis should supply a string$ Eidos script parameter. See section 23.9 above for discussions of these distributions and their uses. The DFE for a mutation type is normally a constant in simulations, so be sure you know what you are doing.
An object of type float or any but object or void or void.
This is documentation for a function in the SLiM software, and has been reproduced from the official manual, which can be found here: http://benhaller.com/slim/SLiM_Manual.pdf. This documentation is Copyright © 2016–2020 Philipp Messer. All rights reserved. More information about SLiM can be found on the official website: https://messerlab.org/slim/
Benjamin C Haller (bhaller@benhaller.com) and Philipp W Messer (messer@cornell.edu)
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