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learningCurve

learningCurve: An implementation of Crawford's and Wright's learning curve production functions - Published in JOSS (2017)

https://github.com/AFIT-R/learningCurve

Science Score: 36.0%

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    Scientific vocabulary similarity
    Low similarity (13.5%) to scientific vocabulary

Keywords

cran-r learning-curves r
Last synced: 11 months ago · JSON representation

Repository

An Implementation of Crawford's and Wright's Learning Curve Production Functions

Basic Info
  • Host: GitHub
  • Owner: AFIT-R
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 335 KB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 1
Topics
cran-r learning-curves r
Created about 10 years ago · Last pushed over 8 years ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

# learningCurve

**Author:** [Brad Boehmke](http://bradleyboehmke.github.io/) & [Jason Freels](https://github.com/Auburngrads)

**License:** [GPL-3.0](https://opensource.org/licenses/GPL-3.0)


[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/learningCurve)](https://cran.r-project.org/package=learningCurve)
[![Travis-CI Build Status](https://travis-ci.org/AFIT-R/learningCurve.svg?branch=master)](https://travis-ci.org/AFIT-R/learningCurve)
[![codecov](https://codecov.io/gh/bradleyboehmke/learningCurve/branch/master/graph/badge.svg)](https://codecov.io/gh/bradleyboehmke/learningCurve)
[![DOI](https://zenodo.org/badge/60852792.svg)](https://zenodo.org/badge/latestdoi/60852792)



`learningCurve` is an R package implements common learning curve production functions. It incorporates Crawford's and Wright's learning curve functions to compute unit and cumulative block estimates for time (or cost) of units along with an aggregate learning curve. It also provides delta and error functions and some basic learning curve plotting functions.along with functions to compute aggregated learning curves, error rates, and to visualize learning curves.


## Installation

You can install `learningCurve` two ways.

- Using the latest released version from CRAN:

```
install.packages("learningCurve")
```

- Using the latest development version from GitHub:

```
if (packageVersion("devtools") < 1.6) {
  install.packages("devtools")
}

devtools::install_github("Auburngrads/learningCurve")
```

## Learning

To get started with `learningCurve`, read the intro vignette: `vignette("learningCurve", package = "learningCurve")`.  This will provide a thorough introduction to the functions provided in the package.

Owner

  • Name: AFIT Data Science Lab
  • Login: AFIT-R
  • Kind: organization
  • Location: Dayton, OH

GitHub Events

Total
Last Year

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 39
  • Total Committers: 3
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.385
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Brad Boehmke b****e@g****m 24
Auburngrads a****s@l****m 14
Arfon Smith a****n 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.38
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
Pull Request Authors
  • bradleyboehmke (7)
  • arfon (1)
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Dependencies

DESCRIPTION cran
  • R >= 2.10 depends
  • ggplot2 * imports
  • gridExtra * imports
  • scales * imports
  • tibble * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests