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CONTRIBUTING.md

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@@ -4,7 +4,7 @@ The following guidelines are designed for contributors of `PhyloNetworks`.
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## Reporting Issues and Questions
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For reporting a bug, a failed function or requesting a new feature, you can simply open an issue in [the issue tracker](https://github.com/crsl4/PhyloNetworks.jl/issues).
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For reporting a bug, a failed function or requesting a new feature, you can simply open an issue in [the issue tracker](https://github.com/juliaphylo/PhyloNetworks.jl/issues).
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First, seach through existing issues (open or closed) that might have the answer to your question.
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If you are reporting a bug, please also include a minimal code example or all relevant information for us to replicate the issue.
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Make sure that your code passes all the
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[tests](https://pkgdocs.julialang.org/v1/managing-packages/#Testing-packages).
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5. Push your changes to your fork
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6. [Submit a pull request](https://github.com/crsl4/PhyloNetworks.jl/pulls) against the `master` branch in `PhyloNetworks`. Make sure that your code passes all the automatic tests and that it is not in conflict with the current status of `master`
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6. [Submit a pull request](https://github.com/juliaphylo/PhyloNetworks.jl/pulls) against the `master` branch in `PhyloNetworks`. Make sure that your code passes all the automatic tests and that it is not in conflict with the current status of `master`
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Please make sure to follow the Julia package guidelines and conventions on your code. `PhyloNetworks` was created before these conventions were catalyzed, but we are attempting to follow them going forward.
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README.md

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# PhyloNetworks: analysis for phylogenetic networks <img src="docs/src/logo_text.png" align=right>
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[![doc stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://crsl4.github.io/PhyloNetworks.jl/stable)
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[![doc dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://crsl4.github.io/PhyloNetworks.jl/dev)
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[![Build status](https://github.com/crsl4/PhyloNetworks.jl/workflows/CI/badge.svg?branch=master)](https://github.com/crsl4/PhyloNetworks.jl/actions/workflows/ci.yml)
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[![coverage](https://codecov.io/gh/crsl4/PhyloNetworks.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/crsl4/PhyloNetworks.jl)
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[![doc stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaphylo.github.io/PhyloNetworks.jl/stable)
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[![doc dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://juliaphylo.github.io/PhyloNetworks.jl/dev)
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[![Build status](https://github.com/juliaphylo/PhyloNetworks.jl/workflows/CI/badge.svg?branch=master)](https://github.com/juliaphylo/PhyloNetworks.jl/actions/workflows/ci.yml)
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[![coverage](https://codecov.io/gh/juliaphylo/PhyloNetworks.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/juliaphylo/PhyloNetworks.jl)
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[![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle)
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[![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet)](https://github.com/SciML/ColPrac)
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[![PkgEval](https://JuliaCI.github.io/NanosoldierReports/pkgeval_badges/P/PhyloNetworks.svg)](https://JuliaCI.github.io/NanosoldierReports/pkgeval_badges/report.html)
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- phylogenetic comparative methods for continuous trait evolution
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on species networks / trees
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- plot networks (and trees), via the companion package
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[PhyloPlots](https://github.com/cecileane/PhyloPlots.jl)
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[PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl)
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To get help, check
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- the [latest documentation](https://crsl4.github.io/PhyloNetworks.jl/dev)
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- the [wiki](https://github.com/crsl4/PhyloNetworks.jl/wiki) for a step-by-step tutorial
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- the [latest documentation](https://juliaphylo.github.io/PhyloNetworks.jl/dev)
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- the [wiki](https://github.com/juliaphylo/PhyloNetworks.jl/wiki) for a step-by-step tutorial
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with background on networks (last revised 2022)
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- [tutorial](https://cecileane.github.io/networkPCM-workshop/) for
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- [tutorial](https://juliaphylo.github.io/networkPCM-workshop/) for
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comparative methods, including network calibration (2023 workshop)
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- the [google group](https://groups.google.com/forum/#!forum/phylonetworks-users)
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for common questions. Join the group to post/email your questions,

docs/make.jl

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prettyurls = get(ENV, "CI", nothing) == "true", # easier local build
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size_threshold = 600 * 2^10,
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size_threshold_warn = 500 * 2^10, # 600 KiB
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canonical="https://crsl4.github.io/PhyloNetworks.jl/stable/",
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canonical="https://juliaphylo.github.io/PhyloNetworks.jl/stable/",
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edit_link="master",
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),
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# exception, so warning-only for :missing_docs. List all others:
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)
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deploydocs(
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repo = "github.com/crsl4/PhyloNetworks.jl.git",
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repo = "github.com/JuliaPhylo/PhyloNetworks.jl.git",
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push_preview = true,
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devbranch = "master",
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)

docs/readme.md

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# notes to maintain documentation
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- built with [Documenter](https://documenter.juliadocs.org/stable/).
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- deployed [here](https://crsl4.github.io/PhyloNetworks.jl/)
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- deployed [here](https://juliaphylo.github.io/PhyloNetworks.jl/)
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(go to `dev/` or `stable/`)
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using GitHub and files committed to the `gh-pages` branch.
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docs/src/index.md

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# PhyloNetworks.jl
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[PhyloNetworks](https://github.com/crsl4/PhyloNetworks.jl)
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[PhyloNetworks](https://github.com/juliaphylo/PhyloNetworks.jl)
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is a [Julia](http://julialang.org) package for the
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manipulation, visualization, inference of phylogenetic networks,
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and their use for trait evolution.
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**How to get help**
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- the package [wiki](https://github.com/crsl4/PhyloNetworks.jl/wiki) has a step-by-step
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- the package [wiki](https://github.com/juliaphylo/PhyloNetworks.jl/wiki) has a step-by-step
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tutorial, done for the MBL workshop (last revised 2022), with background on networks and
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explanations.
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- [tutorial](https://cecileane.github.io/networkPCM-workshop/) for
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- [tutorial](https://juliaphylo.github.io/networkPCM-workshop/) for
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comparative methods, including network calibration (2023 workshop)
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- the [google group](https://groups.google.com/forum/#!forum/phylonetworks-users)
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has answers to common questions.
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## References
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See their [bibtex format](https://github.com/crsl4/PhyloNetworks.jl/blob/master/CITATION.bib).
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See their [bibtex format](https://github.com/juliaphylo/PhyloNetworks.jl/blob/master/CITATION.bib).
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for the package:
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- Claudia Solís-Lemus, Paul Bastide and Cécile Ané (2017).

docs/src/man/bootstrap.md

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The names of all our bootstrap files are listed in "BSlistfiles".
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(ASTRAL can use the same file to do its own bootstrap, see the
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[wiki](https://github.com/crsl4/PhyloNetworks.jl/wiki/Gene-Trees:-RAxML)
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[wiki](https://github.com/juliaphylo/PhyloNetworks.jl/wiki/Gene-Trees:-RAxML)
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for more details).
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The function `readBootstrapTrees` can read this list of file names, then
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read each bootstrap file to get the bootstrap sample for each gene.

docs/src/man/inputdata.md

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This [pipeline](https://github.com/nstenz/TICR) can be used to obtain the table of
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quartet CF needed as input for SNaQ
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(see also the [wiki](https://github.com/crsl4/PhyloNetworks.jl/wiki/TICR:-from-alignments-to-quartet-concordance-factors).)
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(see also the [wiki](https://github.com/juliaphylo/PhyloNetworks.jl/wiki/TICR:-from-alignments-to-quartet-concordance-factors).)
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It starts from the sequence alignments,
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runs MrBayes and then BUCKy (both parallelized), producing the
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table of estimated CFs and their credibility intervals.
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Suppose you have a file with a list of gene trees in parenthetical
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format called `raxmltrees.tre`.
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You can access the example file of input trees
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[here](https://github.com/crsl4/PhyloNetworks/blob/master/examples/raxmltrees.tre)
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[here](https://github.com/juliaphylo/PhyloNetworks/blob/master/examples/raxmltrees.tre)
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or
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[here](https://raw.githubusercontent.com/crsl4/PhyloNetworks/master/examples/raxmltrees.tre)
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[here](https://raw.githubusercontent.com/juliaphylo/PhyloNetworks/master/examples/raxmltrees.tre)
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for easier download.
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Do not copy-paste into a "smart" text-editor. Instead, save the file
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genetrees[3]
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```
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To visualize any of these input trees, use the
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[PhyloPlots](https://github.com/cecileane/PhyloPlots.jl) package:
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[PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl) package:
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```@example qcf
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using PhyloPlots
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using RCall # hide
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we would read it in one step like this: `readTableCF("buckyCF.csv")`.
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An example file comes with the package, available
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[here](https://github.com/crsl4/PhyloNetworks/blob/master/examples/buckyCF.csv)
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[here](https://github.com/juliaphylo/PhyloNetworks/blob/master/examples/buckyCF.csv)
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or
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[here](https://raw.githubusercontent.com/crsl4/PhyloNetworks/master/examples/buckyCF.csv).
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[here](https://raw.githubusercontent.com/juliaphylo/PhyloNetworks/master/examples/buckyCF.csv).
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```@repl qcf
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buckyCFfile = joinpath(dirname(pathof(PhyloNetworks)), "..","examples","buckyCF.csv");
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From our gene trees, we estimated a species tree with
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[ASTRAL](https://github.com/smirarab/ASTRAL/blob/master/astral-tutorial.md).
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This tree comes with the package in file `astral.tre`
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[here](https://github.com/crsl4/PhyloNetworks/blob/master/examples/astral.tre).
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[here](https://github.com/juliaphylo/PhyloNetworks/blob/master/examples/astral.tre).
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This file has 102 trees: 100 bootstrap species trees,
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followed by their greedy consensus,
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docs/src/man/installation.md

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[DataFrames](http://juliadata.github.io/DataFrames.jl/stable/)
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(see the `Project.toml` file for the full list), but everything is installed automatically.
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The companion package [PhyloPlots](https://github.com/cecileane/PhyloPlots.jl)
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The companion package [PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl)
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has utilities to visualize networks, and for interoperability,
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such as to export networks to R (which can then be plotted via R).
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To install:

docs/src/man/multiplealleles.md

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taxonmap = Dict(row[:individual] => row[:species] for row in eachrow(tm)) # taxon map as a dictionary
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```
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The [mapping file](https://github.com/crsl4/PhyloNetworks/blob/master/examples/mappingIndividuals.csv)
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The [mapping file](https://github.com/juliaphylo/PhyloNetworks/blob/master/examples/mappingIndividuals.csv)
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can be a text (or `csv`) file with two columns (at least):
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one for the individuals, named `allele` or `individual`,
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and one column containing the species names, named `species`.
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Each row should map an allele name to a species name.
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Next, read in the [gene trees](https://github.com/crsl4/PhyloNetworks/blob/master/examples/genetrees_alleletips.tre)
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Next, read in the [gene trees](https://github.com/juliaphylo/PhyloNetworks/blob/master/examples/genetrees_alleletips.tre)
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and calculate the quartet CFs at the species level:
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docs/src/man/parsimony.md

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that we might want to exclude.
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[here](https://github.com/crsl4/PhyloNetworks/blob/master/examples/Swadesh.csv)
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[here](https://github.com/juliaphylo/PhyloNetworks/blob/master/examples/Swadesh.csv)
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or
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[here](https://raw.githubusercontent.com/crsl4/PhyloNetworks/master/examples/Swadesh.csv).
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[here](https://raw.githubusercontent.com/juliaphylo/PhyloNetworks/master/examples/Swadesh.csv).
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```@setup parsimony
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docs/src/man/snaq_plot.md

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## Network Visualization
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To visualize the estimated network, we can use the companion package
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[PhyloPlots](https://github.com/cecileane/PhyloPlots.jl).
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[PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl).
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In the example below, julia creates and sends the plot to R
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via [RCall](https://github.com/JuliaInterop/RCall.jl),
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so we can tweak the plot in various ways via commands sent to R.
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## SNaQ error reporting
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Please report any bugs and errors by opening an
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[issue](https://github.com/crsl4/PhyloNetworks.jl/issues/new).
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[issue](https://github.com/juliaphylo/PhyloNetworks.jl/issues/new).
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The easiest way to provide information on the error is by checking the
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`.err` file, which will show the number of runs that
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docs/src/man/ticr_howtogetQuartetCFs.md

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# TICR pipeline
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PhyloNetworks' [wiki](https://github.com/crsl4/PhyloNetworks.jl/wiki/TICR:-from-alignments-to-quartet-concordance-factors)
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PhyloNetworks' [wiki](https://github.com/juliaphylo/PhyloNetworks.jl/wiki/TICR:-from-alignments-to-quartet-concordance-factors)
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has a step-by-step tutorial,
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to go from multiple sequence alignments
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to a table of quartet gene frequencies (concordance factors: CFs),
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through BUCKy (to integrate out gene tree uncertainty) or through RAxML.
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download the content of that wiki with
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`git clone https://github.com/juliaphylo/PhyloNetworks.jl.wiki.git`
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docs/src/man/trait_tree.md

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It is also possible to plot both the reconstructed state and the predicted value
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[`plot`](https://cecileane.github.io/PhyloPlots.jl/stable/lib/public/) function.
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[`plot`](https://juliaphylo.github.io/PhyloPlots.jl/stable/lib/public/) function.
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```@example tree_trait
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nothing # hide

src/manipulateNet.jl

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(see package [PhyloPlots](https://github.com/cecileane/PhyloPlots.jl))
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(see package [PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl))
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Return the network.
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visualize and identify an edge of interest.
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(see package [PhyloPlots](https://github.com/cecileane/PhyloPlots.jl))
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(see package [PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl))
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See also: [`rootatnode!`](@ref).
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"""
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Use `plot(net, shownodenumber=true, showedgenumber=false)` to map node and edge numbers
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on the network, as shown in the examples below.
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(see package [PhyloPlots](https://github.com/cecileane/PhyloPlots.jl))
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(see package [PhyloPlots](https://github.com/juliaphylo/PhyloPlots.jl))
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Warning: assumes that edges are correctly directed (isChild1 updated). This is done
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by `plot(net)`. Otherwise run `directEdges!(net)`.

src/traits.jl

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Compute and format the expected reconstructed states for the plotting function.
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The resulting dataframe can be readily used as a `nodelabel` argument to
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`plot` from package [`PhyloPlots`](https://github.com/cecileane/PhyloPlots.jl).
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`plot` from package [`PhyloPlots`](https://github.com/juliaphylo/PhyloPlots.jl).
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Keyword argument `markMissing` is a string that is appended to predicted
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tip values, so that they can be distinguished from the actual datapoints. Default to
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"*". Set to "" to remove any visual cue.
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Compute and format the prediction intervals for the plotting function.
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The resulting dataframe can be readily used as a `nodelabel` argument to
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`plot` from package [`PhyloPlots`](https://github.com/cecileane/PhyloPlots.jl).
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`plot` from package [`PhyloPlots`](https://github.com/juliaphylo/PhyloPlots.jl).
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Keyworks argument `level` control the confidence level of the
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prediction interval. If `withExp` is set to true, then the best
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predicted value is also shown along with the interval.
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│ assuming that the estimated variance rate of evolution is correct.
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│ Additional uncertainty in the estimation of this variance rate is
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│ ignored, so prediction intervals should be larger.
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└ @ PhyloNetworks ~/build/crsl4/PhyloNetworks.jl/src/traits.jl:3359
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└ @ PhyloNetworks ~/build/juliaphylo/PhyloNetworks.jl/src/traits.jl:3359
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ReconstructedStates:
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───────────────────────────────────────────────
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Node index Pred. Min. Max. (95%)
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│ assuming that the estimated variance rate of evolution is correct.
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│ Additional uncertainty in the estimation of this variance rate is
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│ ignored, so prediction intervals should be larger.
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└ @ PhyloNetworks ~/build/crsl4/PhyloNetworks.jl/src/traits.jl:3166
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└ @ PhyloNetworks ~/build/juliaphylo/PhyloNetworks.jl/src/traits.jl:3166
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julia> first(expectations(ancStates), 3) # looking at first 3 nodes only
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3×2 DataFrame

test/test_lm.jl

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# one another (Especialy for hybrids) ?
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# see QuartetNetworkGoodnessFit.ultrametrize! which can detect if the network is
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# time-consistent: all paths from the root to a given node have the same length
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# https://github.com/cecileane/QuartetNetworkGoodnessFit.jl
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# https://github.com/juliaphylo/QuartetNetworkGoodnessFit.jl
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# Ancestral state reconstruction with ready-made matrices
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params = ParamsBM(10, 1)

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