Description Usage Arguments Examples

Predicts the time or cost of the nth unit given the time of the mth unit and the learning rate

1 | ```
unit_curve(t, n, r, m = 1, na.rm = FALSE)
``` |

`t` |
time (or cost) required for the mth unit of production |

`n` |
nth unit you wish to predict the time (or cost) for |

`r` |
learning curve rate |

`m` |
mth unit of production (default set to 1st production unit) |

`na.rm` |
Should |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
library(learningCurve)
# An estimator believes that the first unit of a product will
# require 100 labor hours. How many hours will the 125th unit
# require given the organization has historically experienced
# an 85% learning curve?
unit_curve(t = 100, m = 1, n = 125, r = .85)
## [1] 32.23647
# If the estimator wants to assess the hours required for the
# 125 unit given multiple learning curve rates
r <- c(.8, .85, .9, .95)
unit_curve(t = 100, m = 1, n = 125, r = r)
## [1] 21.13225 32.23647 48.00243 69.95640
# If the estimator has the time required for the 100th unit
unit_curve(t = 100, m = 100, n = 125, r = .85)
## [1] 94.90257
``` |

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