CRAN/E | gcplyr

gcplyr

Wrangle and Analyze Growth Curve Data

Installation

About

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 .

Citation gcplyr citation info
mikeblazanin.github.io/gcplyr/
github.com/mikeblazanin/gcplyr/

Key Metrics

Version 1.9.0
R ≥ 2.10
Published 2024-03-11 48 days ago
Needs compilation? no
License MIT
License File
CRAN checks gcplyr results

Downloads

Yesterday 10 -50%
Last 7 days 120 +9%
Last 30 days 393 -29%
Last 90 days 1.416 +19%
Last 365 days 4.297 +521%

Maintainer

Maintainer

Mike Blazanin

mikeblazanin@gmail.com

Authors

Mike Blazanin

aut / cre

Material

README
NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gcplyr archive

Depends

R ≥ 2.10

Imports

dplyr
rlang
stats
tidyr
tools
utils

Suggests

caret
cowplot
ggplot2
knitr
lubridate
mgcv
readxl
rmarkdown
testthat ≥ 3.0.0
xlsx