Easy wrangling and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
Version: 1.12.0 Depends: R (≥ 2.10) Imports: dplyr, rlang, stats, tidyr, tools, utils Suggests: caret, cellranger, ggplot2, knitr, lubridate, mgcv, readxl, rmarkdown, sf, testthat (≥ 3.0.0), xlsx Published: 2025-07-29 DOI: 10.32614/CRAN.package.gcplyr Author: Mike Blazanin [aut, cre] Maintainer: Mike Blazanin <mikeblazanin at gmail.com> License: MIT + file LICENSE URL: https://mikeblazanin.github.io/gcplyr/, https://github.com/mikeblazanin/gcplyr/ NeedsCompilation: no Citation: gcplyr citation info Materials: README, NEWS CRAN checks: gcplyr results Documentation: Reference manual: gcplyr.html , gcplyr.pdf Vignettes: Introduction to using gcplyr (source, R code)Please use the canonical form https://CRAN.R-project.org/package=gcplyr to link to this page.
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