Tidy and Streamlined Metabolomics Data Workflows R package metamorphr version 0.4.1 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'. Software Depends: R (>= 3.5) Imports: broom, crayon, dplyr, ggplot2, impute, lifecycle, magrittr, missForest, pcaMethods, purrr, readr, rlang, stats, stringi, tibble, tidyr, utils, vctrs, withr Suggests: knitr, qsmooth, rmarkdown, stringr, testthat (>= 3.0.0) Yannik Schermer <yannik.schermer@chem.rptu.de> Comprehensive R Archive Network (CRAN) Yannik Schermer [aut, cre, cph] (ORCID: <https://orcid.org/0009-0002-5201-057X>) MIT + file LICENSE (https://CRAN.R-project.org/package=metamorphr/LICENSE) 2026-06-10 application/tgz https://CRAN.R-project.org/package=metamorphr doi:10.32614/CRAN.package.metamorphr