metamorphr: Tidy and Streamlined Metabolomics Data Workflows (original) (raw)
Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <doi:10.1093/bioinformatics/btr597>, Tibshirani et al. (2017) <doi:10.18129/B9.BIOC.IMPUTE>, Troyanskaya et al. (2001) <doi:10.1093/bioinformatics/17.6.520>), normalization (Bolstad et al. (2003) <doi:10.1093/bioinformatics/19.2.185>, Dieterle et al. (2006) <doi:10.1021/ac051632c>, Zhao et al. (2020) <doi:10.1038/s41598-020-72664-6>) transformation, centering and scaling (Van Den Berg et al. (2006) <doi:10.1186/1471-2164-7-142>) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) <doi:10.21105/joss.01686>) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and 'ggplot2'.
| Version: | 0.2.0 |
|---|---|
| Depends: | R (≥ 3.5) |
| Imports: | broom, crayon, dplyr, ggplot2, impute, magrittr, missForest, pcaMethods, purrr, readr, rlang, stats, stringi, tibble, tidyr, utils, vctrs, withr |
| Suggests: | knitr, KODAMA, qsmooth, rmarkdown, stringr, testthat (≥ 3.0.0) |
| Published: | 2025-10-09 |
| DOI: | 10.32614/CRAN.package.metamorphr |
| Author: | Yannik Schermer |
| Maintainer: | Yannik Schermer <yannik.schermer at chem.rptu.de> |
| BugReports: | https://github.com/yasche/metamorphr/issues |
| License: | MIT + file |
| URL: | https://github.com/yasche/metamorphr |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | metamorphr results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=metamorphrto link to this page.