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lgatto / pRoloc

A unifying bioinformatics framework for organelle proteomics
http://lgatto.github.io/pRoloc/
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Unit testing #75

Open lgatto opened 8 years ago

lgatto commented 8 years ago 
> (pc = covr::package_coverage("pRoloc"))
pRoloc Coverage: 34.46%
R/belief.R: 0.00%
R/chi2.R: 0.00%
R/clusterdist-framework.R: 0.00%
R/clusterdist-functions.R: 0.00%
R/clustering-framework.R: 0.00%
R/clustering-kmeans.R: 0.00%
R/data.R: 0.00%
R/dynamics.R: 0.00%
R/gomarkers.R: 0.00%
R/lopims.R: 0.00%
R/machinelearning-functions-ksvm.R: 0.00%
R/machinelearning-functions-PerTurbo.R: 0.00%
R/machinelearning-functions-plsda.R: 0.00%
R/makeGoSet.R: 0.00%
R/perTurbo-algorithm.R: 0.00%
R/phenodisco.R: 0.00%
R/plotting2.R: 0.00%
R/machinelearning-framework.R: 3.57%
R/machinelearning-framework-theta.R: 4.20%
R/AllGenerics.R: 12.50%
src/pRoloc.cpp: 12.50%
R/environment.R: 14.29%
R/utils.R: 23.64%
R/MartInterface.R: 29.49%
R/MLInterfaces.R: 33.33%
R/plotting.R: 44.23%
R/MSnSet.R: 56.19%
R/markers.R: 56.36%
R/pRolocmarkers.R: 65.22%
R/machinelearning-functions-knntl.R: 67.02%
R/goenv.R: 67.24%
R/annotation.R: 75.74%
R/machinelearning-utils.R: 76.25%
R/distances.R: 79.55%
R/machinelearning-functions-rf.R: 82.67%
R/machinelearning-functions-nb.R: 85.00%
R/machinelearning-functions-knn.R: 85.11%
R/machinelearning-functions-nnet.R: 85.90%
R/zzz.R: 87.50%
R/machinelearning-functions-svm.R: 87.84%
R/vis.R: 94.00%
R/go.R: 100.00%
lgatto commented 5 years ago

See also #30 and the vdiff package for testing figures.