gcplyr: Wrangle and Analyze Growth Curve Data

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: 1.10.0
Depends: R (≥ 2.10)
Imports: dplyr, rlang, stats, tidyr, tools, utils
Suggests: caret, cowplot, ggplot2, knitr, lubridate, mgcv, readxl, rmarkdown, sf, testthat (≥ 3.0.0), xlsx
Published: 2024-07-09
DOI: 10.32614/CRAN.package.gcplyr
Author: Mike Blazanin ORCID iD [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


Reference manual: gcplyr.pdf
Vignettes: Introduction to using gcplyr
Importing and reshaping data
Incorporating experimental designs
Pre-processing and plotting data
Processing data
Analyzing data
Dealing with noise
Best practices and other tips
Working with multiple plates
Using make_design to generate experimental designs


Package source: gcplyr_1.10.0.tar.gz
Windows binaries: r-devel: gcplyr_1.10.0.zip, r-release: gcplyr_1.10.0.zip, r-oldrel: gcplyr_1.10.0.zip
macOS binaries: r-release (arm64): gcplyr_1.10.0.tgz, r-oldrel (arm64): gcplyr_1.10.0.tgz, r-release (x86_64): gcplyr_1.10.0.tgz, r-oldrel (x86_64): gcplyr_1.10.0.tgz
Old sources: gcplyr archive


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