This document aims to layout a standardized structure for analysis pipeline runs in future DAISIE studies. DAISIE simulation output objects currently consist of nested lists. These lists always contain the following information.
1) island_age
- The island age (numeric scalar) of a simulation.
2) not_present
- The number of mainland species that did not colonize the island (numeric scalar).
3) stt_all
- The species-through-time table with the number of immigrant, anagenetic, cladogenetic and total species
present on the island (matrix).
For clade-specific simulations, the following levels of the list are a set of the following elements per each colonizing lineage:
1) branching_times
- The branching (or colonization) times of extant species on the island at present.
The first element always corresponds to the island age.
2) stac
- The status of the clade formed by the immigrant (numeric scalar).
stac
= 1 : immigrant is present but has not formed an extant clade
stac
= 2 : immigrant is not present but has formed an extant clade
stac
= 3 : immigrant is present and has formed an extant clade
stac
= 4 : immigrant is present but has not formed an extant clade,
and it is known when it immigrated.
stac
= 5 : immigrant is not present and has not formed an extant clade,
but only an endemic species
stac
= 6 : like 2, but with max colonization time
stac
= 7 : like 3, but with max colonization time
3) missing_species
- The number of species that were not sampled for a particular clade (only applicable for endemic clades) (numeric scalar).
The final output of a pipeline run should be a list. Each top level of this list should refer to one geodynamic replicate and contain the following:
1) Simulate with Geodynamics (1000x replicates) 2) Maximum likelihood estimates obtained replicate (1000 ML estimates) 3) Simulate without geodynamics obtained using ML values from step 2 as generating parameters (1 replicate per ML, thus 1000 total replicates) 4) MLEs from simulations from step 3 (1000 ML estimates) 5) Simulate without geodynamics using ML values from step 4 as generating parameters (1 replicate per ML, thus 1000 total replicates) 6) Calculate delta nLTT of paired simulations from step 1 and step 3. 7) Calculate delta nLTT of paired simulations from step 3 and step 5.
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