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: | 0.1.1 |
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: | 2025-09-01 |
Author: | Yannik Schermer |
Maintainer: | Yannik Schermer <yannik.schermer at chem.rptu.de> |
BugReports: | https://github.com/yasche/metamorphr/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/yasche/metamorphr |
NeedsCompilation: | no |
Materials: | README, NEWS |
CRAN checks: | metamorphr results |
Reference manual: | metamorphr.html , metamorphr.pdf |
Vignettes: |
Conjugate Screening (source, R code) metamorphr (source, R code) |
Package source: | metamorphr_0.1.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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