growthcurver
Growthcurver is an R package that fits growth curve data to a standard form of the logistic equation common in ecology and evolution whose parameters (the growth rate, the initial population size, and the carrying capacity) provide meaningful population-level information with straight-forward biological interpretation.
Science Score: 13.0%
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Low similarity (12.0%) to scientific vocabulary
Repository
Growthcurver is an R package that fits growth curve data to a standard form of the logistic equation common in ecology and evolution whose parameters (the growth rate, the initial population size, and the carrying capacity) provide meaningful population-level information with straight-forward biological interpretation.
Statistics
- Stars: 37
- Watchers: 6
- Forks: 14
- Open Issues: 8
- Releases: 0
Metadata Files
README.md
growthcurver
Growthcurver is an R package that fits growth curve data to a standard form of the logistic equation common in ecology and evolution whose parameters (the growth rate, the initial population size, and the carrying capacity) provide meaningful population-level information with straight-forward biological interpretation.
You can install the latest released version from CRAN from within R with
R
install.packages("growthcurver")
`
You can install the latest development version from github with ```R # install devtools first if you don't already have the package install.packages("devtools")
# then install growthcurver devtools::install_github("sprouffske/growthcurver") ```
The paper describing Growthcurver is available here.
Using growthcurver
The easiest way to get started with growthcurver is to work through the examples in the vignette. In the vignette, you can find information on
- What your input data should look like
- How to use growthcurver to get summary metrics on a single growth curve sample
- How to use growthcurver to get summary metrics on an entire plate of growth curves
- What those metrics mean and some best practices for quality control
You can find the vignette here.
A simple working example
This code loads the growthcurver package and some sample data. Then, it calls SummarizeGrowth to do the analysis.
R
library(growthcurver) # load the package
d <- growthdata # load some sample, simulated data
gc_fit <- SummarizeGrowth(d$time, d$A1) # do the analysis
plot(gc_fit) # plot your data and the best fit
gc_fit # view some returned metrics
GitHub Events
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Last Year
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Committers
Last synced: almost 3 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| sprouffske | s****e@g****m | 27 |
| Kathleen Sprouffske | s****e@K****l | 4 |
| Frederiek - Maarten Kerckhof | f****f@u****e | 4 |
| Kathleen Sprouffske | s****e@k****l | 1 |
| Kieran Mace | k****e@g****m | 1 |
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All Time
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- Average time to close issues: 12 months
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Packages
- Total packages: 1
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Total downloads:
- cran 630 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 5
- Total maintainers: 1
cran.r-project.org: growthcurver
Simple Metrics to Summarize Growth Curves
- Homepage: https://github.com/sprouffske/growthcurver
- Documentation: http://cran.r-project.org/web/packages/growthcurver/growthcurver.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 0.3.1
published almost 6 years ago
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Dependencies
- R >= 4.0 depends
- grDevices >= 4.0 imports
- graphics >= 4.0 imports
- minpack.lm >= 1.2 imports
- stats >= 4.0 imports
- dplyr * suggests
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- knitr * suggests
- rmarkdown * suggests
- testthat * suggests