Package: notameStats 1.3.0

Vilhelm Suksi
notameStats: Workflow for non-targeted LC-MS metabolic profiling
Provides univariate and multivariate statistics for feature prioritization in untargeted LC-MS metabolomics research.
Authors:
notameStats_1.3.0.tar.gz
notameStats_1.3.0.zip(r-4.7-any)notameStats_1.3.0.zip(r-4.6-any)notameStats_1.3.0.zip(r-4.5-any)
notameStats_1.3.0.tgz(r-4.6-any)notameStats_1.3.0.tgz(r-4.5-any)
notameStats_1.3.0.tar.gz(r-4.7-any)notameStats_1.3.0.tar.gz(r-4.6-any)
notameStats_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
notameStats/json (API)
| # Install 'notameStats' in R: |
| install.packages('notameStats', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hanhineva-lab/notamestats/issues
On BioConductor:notameStats-1.3.0(bioc 3.24)notameStats-1.2.0(bioc 3.23)
biomedicalinformaticsmetabolomicsdataimportmassspectrometrybatcheffectmultiplecomparisonnormalizationqualitycontrolvisualizationpreprocessing
Last updated from:66400ee40b. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 210 | ||
| linux-devel | NOTE | 478 | ||
| source / vignettes | OK | 296 | ||
| linux-release | NOTE | 425 | ||
| macos-release | NOTE | 296 | ||
| macos-oldrel | NOTE | 302 | ||
| windows-devel | NOTE | 1766 | ||
| windows-release | NOTE | 1184 | ||
| windows-oldrel | NOTE | 1643 | ||
| wasm-release | OK | 146 |
Exports:cohens_dfit_rffold_changeimportance_rfmixomics_plsmixomics_pls_optimizemixomics_plsdamixomics_plsda_optimizemixomics_spls_optimizemixomics_splsda_optimizemuvr_analysisperform_aucperform_correlation_testsperform_homoscedasticity_testsperform_kruskal_wallisperform_lmperform_lm_anovaperform_lmerperform_logisticperform_non_parametricperform_oneway_anovaperform_permanovaperform_t_testsummarize_resultssummary_statistics
Dependencies:abindbackportsBHBiobaseBiocGenericsBiocParallelbroomclicodetoolscpp11DelayedArraydplyrfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtableIRangesisobandlabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsnotameopenxlsxpillarpkgconfigpurrrR6RColorBrewerRcpprlangS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraystringistringrSummarizedExperimenttibbletidyrtidyselectutf8vctrsviridisLitewithrXVectorzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cohen's D | cohens_d |
| Fit Random Forest | fit_rf |
| Fold change | fold_change |
| Feature importance in random forest | importance_rf |
| Multivariate modelling with minimally biased variable selection (MUVR) | muvr_analysis |
| Area under curve | perform_auc |
| Correlation test | perform_correlation_tests |
| Test homoscedasticity | perform_homoscedasticity_tests |
| Kruskal-Wallis rank-sum test | perform_kruskal_wallis |
| Linear models | perform_lm |
| Linear models ANOVA table | perform_lm_anova |
| Linear mixed models | perform_lmer |
| Logistic regression | perform_logistic |
| Pairwise and paired non-parametric tests | perform_non_parametric |
| Welch's ANOVA and classic ANOVA | perform_oneway_anova |
| PERMANOVA | perform_permanova |
| Pairwise and paired t-tests | perform_t_test |
| PLS | mixomics_pls mixomics_pls_optimize mixomics_spls_optimize pls |
| PLS-DA | mixomics_plsda mixomics_plsda_optimize mixomics_splsda_optimize pls_da |
| Statistics cleaning | summarize_results |
| Summary statistics | summary_statistics |
