simFossilRecordMethods | R Documentation |
These are a set of functions available for manipulating, translating
and editing the objects of class fossilRecordSimulation
output
from function simFossilRecord
.
timeSliceFossilRecord( fossilRecord, sliceTime, shiftRoot4TimeSlice = FALSE, modern.samp.prob = 1, tolerance = 10^-6 ) fossilRecord2fossilTaxa(fossilRecord) fossilTaxa2fossilRecord(fossilTaxa) fossilRecord2fossilRanges( fossilRecord, merge.cryptic = TRUE, ranges.only = TRUE )
fossilRecord |
A list object output by |
sliceTime |
The date to slice the |
shiftRoot4TimeSlice |
Should the dating of events be shifted, so that the
date given for |
modern.samp.prob |
The probability that a taxon is sampled at the modern time
(or, for |
tolerance |
A small number which sets a range around the |
fossilTaxa |
A |
merge.cryptic |
If |
ranges.only |
If |
These functions exist to manipulate fossilRecordSimulation
objects
output from simFossilRecord
, particularly so that they can be interfaced
with functions in library paleotree
in the same way that output from the
deprecated 'legacy' simulation function simFossilTaxa
was used.
timeSliceFossilRecord
takes a given fossilRecordSimulation
object
and 'slices' the data to remove any events that occur after the given
sliceTime
and make it so any taxa still alive as of sliceTime
are now listed as extant.
fossilRecord2fossilTaxa
converts a fossilRecordSimulation
object
to the flat table format of taxon data as was originally output by deprecated function
simFossilTaxa
, and can be taken as input
by a number of paleotree
functions such as
sampleRanges
, taxa2phylo
and taxa2cladogram
.
fossilTaxa2fossilRecord
does the reverse, converting a simFossilTaxa
table into a fossilRecordSimulation
list object,
but returns a fossilRecordSimulation
object that
considers each species as unsampled (as sampling
information is not contained within a simFossilTaxa
table).
fossilRecord2fossilRanges
converts a fossilRecordSimulation
object
to the flat table format of observed taxon ranges, as is typically output by processing
simFossilRecord
simulation output with paleotree
function
sampleRanges
.
Depends on the function and the arguments given. See Details.
David W. Bapst
simFossilRecord
set.seed(44) record <- simFossilRecord( p = 0.1, q = 0.1, r = 0.1, nruns = 1, nTotalTaxa = c(20,30), nExtant = 0, plot = TRUE ) ################################################## # time-slicing simulations at particular dates # let's try slicing this record at 940 time-units slicedRecord <- timeSliceFossilRecord( fossilRecord = record, sliceTime = 940 ) # and let's plot it divCurveFossilRecordSim(slicedRecord) # now with shiftRoot4TimeSlice = TRUE to shift the root age slicedRecord <- timeSliceFossilRecord( fossilRecord = record, sliceTime = 940, shiftRoot4TimeSlice = TRUE ) # and let's plot it divCurveFossilRecordSim(slicedRecord) # the last two plots look a little different # due to how axis limits are treated... # notice that in both, 'modern' (extant) taxa # are sampled with probability = 1 ######## # let's try it again, make that probability = 0 # now with shiftRoot4TimeSlice = TRUE slicedRecord <- timeSliceFossilRecord( fossilRecord = record, sliceTime = 940, shiftRoot4TimeSlice = TRUE, modern.samp.prob = 0 ) # and let's plot it divCurveFossilRecordSim(slicedRecord) ############################ # converting to taxa objects and observed ranges # convert to taxa data taxa <- fossilRecord2fossilTaxa(record) # convert to ranges ranges <- fossilRecord2fossilRanges(record) # plot diversity curves with multiDiv multiDiv(list(taxa,ranges), plotMultCurves = TRUE) # should look a lot like what we got earlier # get the cladogram we'd obtain for these taxa with taxa2cladogram cladogram <- taxa2cladogram(taxa, plot = TRUE) # now get the time-scaled phylogenies with taxa2phylo # first, with tips extending to the true times of extinction treeExt <- taxa2phylo(taxa, plot = TRUE) # now, with tips extending to the first appearance dates (FADs) of taxa # get the FADs from the ranges FADs <- ranges[,1] treeFAD <- taxa2phylo(taxa, FADs,plot = TRUE)
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