Output from Fabric model
The output was too large for the supplemental materials so we include it here instead.
The metadata for the processed file was copied from the FabricPostProcessor manual for BayesTraits v4.0.0, which can be found in the link http://www.evolution.reading.ac.uk/FabricPostProcessorV1.0.0/Files/FabricPostProcessor.pdf
- ID: ID for each node
- Branch: Length Branch length from phylogenetic tree
- Height: Height of the node, with the root having the largest height
- Height Mid-Point: Height of the node at its mid-point
- Sum BL: Sum of all branches that contained within the node
- No Descendants: Number of descendant nodes, 0 for a tip, 2 for binary node
- No Concurrent Linages Start: Number of concurrent lineages at the start of the node.
- No Concurrent Linages Mid-point: Number of concurrent lineages at the mid-point of the node.
- No Concurrent Linages End: Number of concurrent lineages at the end of the node.
- Mean (Beta * BL): Mean beta
- SD (Beta * BL): Beta standard deviation
- Mean (Beta * BL) NZ: Mean beta excluding samples when the beta is set to zero. Note: we recommend that this should be used for estimating the size of the directional effect.
- SD (Beta * BL) NZ: Standard deviation excluding samples when the beta is set to zero
- Sample Size: Number of samples in the MCMC posterior
- P 0: Probability beta is greater than 0
- P (Beta * BL): The probability of Beta * BL, given the prior and threshold value
- Observed P (Beta * BL): The observed probability of Beta * BL in the Markov chain
- SD Observed P(Beta * BL): The standard deviation of observed P (Beta * BL)
- Z (Beta * BL): The Z score of Beta * BL
- Sig (Beta * BL): 1 if the Z scores is significant (Z >= 2), 0 otherwise
- Mean Evolvability Scalar: The mean scalar
- SD Scalar: The standard deviation of the scalar
- Mean Non 1 Scalar: The mean scalar excluding samples when it is 1. Note: we recommend that this should be used for estimating the size of the evolvability effect.
- Median Non 1: The median scalar excluding samples when it is 1. Worth checking to see if the mean and median agree. Lack of agreement indicates a skewed posterior.
- SD Non 1 Scalar: The standard deviation of the scalar excluding samples when it is 1
- P 1: The probability the scalar is greater than one
- P Scalar: The probability of an evolvability scalar, given the prior and threshold value
- Observed P Scalar: The observed probability of the evolvability scalar
- SD Observed P Scalar: The standard deviation of observed P evolvability scalar
- Z Scalar: The Z score of the evolvability scalar
- Sig Scalar: 1 if the Z scores is significant (Z >= 2), 0 otherwise
- Prop beta followed by a variance scalar: The probability of a beta followed by an evolvability scalar
- No Beta or Node: Number of times the sample has a beta or evolvability scalar
- Prop Variance scalar followed by a beta: The probability of an evolvability scalar followed by a beta
- Prop Beta on Dec Nodes: The probability of a beta on a descendant node
- MD5 Sum: An MD5 check sum based on the taxa names that define the node, sorted into alphabetical order.
- No Taxa: Number of taxa which define the node
- Taxa List: A list of taxa names which define the node
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Resources
Cite this as
Travis Park; Gustavo Burin; Graham J Slater; Natalie Cooper (2022). Output from Fabric model (from Data from the "Back to the water" project) [Data set resource]. Natural History Museum.
https://data.nhm.ac.uk/dataset/data-from-the-back-to-the-water-project-funded-by-the-leverhulme-trust/resource/04aa642a-67db-44cb-90c6-b10e8bcbc513
Retrieved: 10:41 02 Sep 2026 (UTC)
Additional Information
| Last updated | 19 July 2022 |
|---|---|
| Created | unknown |
| Format | CSV |
| License | Creative Commons Attribution |
| Created | 4 years ago |
| Media type | text/csv |
| Size | 25,491 |
| format | CSV |
| id | 04aa642a-67db-44cb-90c6-b10e8bcbc513 |
| last modified | 4 years ago |
| metadata modified | 3 years ago |
| package id | fc4a0f47-cc80-4f7c-a480-845aa9f661da |
| position | 22 |
| resource group | Paper 1 |
| state | active |