Mercurial > repos > ecology > pampa_glmcomm
view pampa_macros.xml @ 0:f0dc3958e65d draft
"planemo upload for repository https://github.com/ColineRoyaux/PAMPA-Galaxy commit 07f1028cc764f920b1e6419c151f04ab4e3600fa"
author | ecology |
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date | Tue, 21 Jul 2020 06:00:31 -0400 |
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children | 44b9069775ca |
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<macros> <token name="@VERSION@">0.0.1</token> <xml name="Pampa_requirements"> <requirements> <requirement type="package" version="1.0.2">r-tidyr</requirement> </requirements> </xml> <xml name="GLM_requirements"> <requirements> <requirement type="package" version="1.2.2">r-gap</requirement> <requirement type="package" version="1.0.1">r-glmmtmb</requirement> <requirement type="package" version="1.4_13">r-multcomp</requirement> </requirements> </xml> <xml name="Plot_requirements"> <requirements> <requirement type="package" version="3.1.1">r-ggplot2</requirement> </requirements> </xml> <xml name="pampa_input_calculate"> <param name="input" type="data" format="tabular" label="Input file" help="Observation data file, with location, year, species and abundance."/> </xml> <xml name="pampa_advanced_params_select"> <param name="advanced" type="select" label="Specify advanced parameters"> <option value="simple" selected="true">No, use program defaults.</option> <option value="advanced">Yes, see full parameter list.</option> </param> <when value="simple"> </when> </xml> <xml name="pampa_advanced_params_select_GLM"> <param name="advanced" type="select" label="Specify advanced parameters"> <option value="simple" selected="true">No, use program defaults.</option> <option value="advanced">Yes, see full parameter list.</option> </param> <when value="simple"> </when> <when value="advanced"> <param name="distrib" type="select" label="Distribution for model"> <option selected="true" value="None">Auto</option> <option value="gaussian">Gaussian</option> <option value="inverse.gaussian">Inverse Gaussian</option> <option value="poisson">Poisson</option> <option value="quasipoisson">Quasi-Poisson</option> <option value="binomial">Binomial</option> <option value="quasibinomial">Quasi-Binomial</option> <option value="Gamma">Gamma</option> </param> </when> </xml> <xml name="pampa_input_GLM"> <param name="input_metric" type="data" format="tabular" label="Input metrics file" help="Metrics data file, with location, year, and metrics informations that can be used as interest variable."/> <param name="input_unitobs" type="data" format="tabular" label="Unitobs informations file" help="Unitobs file, with all informations available about unitobs."/> <param name="varint" type="data_column" data_ref="input_metric" label="Interest variable from metrics file" help= "Choose the field of the interest variable."/> </xml> <xml name="pampa_var_GLM"> <param name="varrep" type="select" label="Response variables" help= "Choose the response variables you want to include in your analysis." multiple="true"> <option selected="true" value="year">Year</option> <option selected="true" value="site">Site</option> <option selected="true" value="habitat">Habitat</option> </param> <param name="varrand" type="select" label="Random effect ?" help="Allocate a random effect on site or year makes your model more reliable as random events on a peculiar site or year can affect populations, it takes account of pseudoreplication. However, avoid applying it on a less than 10 levels variable (less than 10 different sites and/or year)." multiple="true"> <option value="year">Year</option> <option selected="true" value="site">Site</option> </param> </xml> <xml name="pampa_output_GLM"> <data name="output_recap" from_work_dir="GLMSummaryFull.txt" format="txt" label="Simple statistics on chosen variables on ${on_string}"/> <data name="output_rate" from_work_dir="RatingGLM.txt" format="txt" label="Your analysis rating file on ${on_string}"/> </xml> <xml name="pampa_bibref"> <citations> <citation type="bibtex"> @unpublished{pampayves, title={ PAMPA "ressources et biodiversité" scripts }, author={Yves Reecht}, url={https://wwz.ifremer.fr/pampa/Meth.-Outils/Outils} } </citation> </citations> </xml> </macros>