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 [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.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

Downloads:

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

Linking:

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