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.

setDistribution(distributionType, ...)

Arguments

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.

Value

An object of type float or void.

Details

Documentation for this function can be found in the official SLiM manual: page 709.

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; "p", in which case the ellipsis should supply a numeric$ mean selection coefficient and a numeric$ scale parameter for a Laplace 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 25.11 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.

See also

Other MutationType: MutationType, drawSelectionCoefficient()

Author

Benjamin C Haller (bhaller@benhaller.com) and Philipp W Messer (messer@cornell.edu)