Mercurial > repos > ecology > vigiechiro_idcorrect_2ndlayer
diff IdCorrect_2ndLayer_en.xml @ 0:6681b6ba1d7e draft
planemo upload for repository https://github.com/galaxyecology/tools-ecology/tools/vigiechiro commit d2de8e10c11bfa3b04729e59bba58e08d23b56aa
author | ecology |
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date | Wed, 13 Mar 2019 11:18:36 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/IdCorrect_2ndLayer_en.xml Wed Mar 13 11:18:36 2019 -0400 @@ -0,0 +1,68 @@ +<tool id="vigiechiro_idcorrect_2ndlayer" name="Tadarida data cleaner" version="@VERSION@"> + <description>clean data from animal detection on acoustic recordings</description> + <macros> + <import>vigiechiro_macros.xml</import> + </macros> + <requirements> + <requirement type="package" version="1.10.4">r-data.table</requirement> + <requirement type="package" version="4.6_12">r-randomforest</requirement> + </requirements> + <command detect_errors="exit_code"><![CDATA[ + Rscript + '$__tool_directory__/IdCorrect_2ndLayer.R' '$participation_file' + + #if $learner.condi_learner == "custom" + '$learner.user_learner' + #else + '$__tool_directory__/ClassifEspC2b_180222.learner' + #end if + '${participation_file.name}' + '$output' +]]> + </command> + <inputs> + <param name="participation_file" type="data" format="csv" label="Participation file" help="Summary table of TadaridaC"/> + <param name="learner" type="data" label="Choose your leaner" format="rdata"/> + <conditional name="learner"> + <param name="condi_learner" type="select" label="Select a classifier" help="Default is ClassifEspC2b_180222"> + <option value="c18">ClassifEspC2b_180222</option> + <option value="custom">Custom Classifier</option> + </param> + <when value="c18"> + </when> + <when value="custom"> + <param name="user_learner" type="data" label="Choose your classifier" format="rdata"/> + </when> + </conditional> + </inputs> + <outputs> + <data name="output" from_work_dir="output.tabular" format="tabular"/> + </outputs> + <tests> + <test> + <param name="participation_file" value="IdCor2Layer_Test1_obs.csv"/> + <param name="condi_learner" value="default_learner"/> + <output name="output" file="IdCor2Layer_Test1_out.tabular"/> + </test> + </tests> + <help><![CDATA[ + +.. class:: infomark + +========================== +Tadarida data cleaner +========================== + +**What it does** + +This tool intends to correct ids from 1st layer of Tadarida software, and improves data output according to context (= the whole output of a sampling session). + +**Arguments** + +It should be called with 2 consecutive arguments : + +- a summary table of TadaridaC output from vigiechiro.herokuapp.com web portal. +- the 2nd layer classifier built on validated id in Vigie-Chiro database (eg : "ClassifEspC2b_180222.learner") + ]]></help> + <expand macro="vigiechiro_bibref" /> +</tool>