Documentation for SLiM function outputMS, which is a method of the SLiM class Genome. 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.

outputMS(filePath, append, filterMonomorphic)

Arguments

filePath

An object of type null or string. Must be of length 1 (a singleton). The default value is NULL. See details for description.

append

An object of type logical. Must be of length 1 (a singleton). The default value is F. See details for description.

filterMonomorphic

An object of type logical. Must be of length 1 (a singleton). The default value is F. See details for description.

Value

An object of type void.

Details

Documentation for this function can be found in the official SLiM manual: page 674.

Output the target genomes in MS format (see section 27.3.2 for output format details). This low-level output method may be used to output any sample of Genome objects (the Eidos function sample() may be useful for constructing custom samples, as may the SLiM class Individual). For output of a sample from a single Subpopulation, the outputMSSample() of Subpopulation may be more straightforward to use. If the optional parameter filePath is NULL (the default), output is directed to SLiM's standard output. Otherwise, the output is sent to the file specified by filePath, overwriting that file if append if F, or appending to the end of it if append is T. Positions in the output will span the interval [0,1]. If filterMonomorphic is F (the default), all mutations that are present in the sample will be included in the output. This means that some mutations may be included that are actually monomorphic within the sample (i.e., that exist in every sampled genome, and are thus apparently fixed). These may be filtered out with filterMonomorphic = T if desired; note that this option means that some mutations that do exist in the sampled genomes might not be included in the output, simply because they exist in every sampled genome. See output() and outputVCF() for other output formats. Output is generally done in a late() event, so that the output reflects the state of the simulation at the end of a tick.

Author

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