Description Usage Arguments Examples

Plots the learning curve for units m through n. Allows you to choose between the Crawford and Wright models and also between a unit level plot or a cumulative level plot.

1 | ```
plot_unit_curve(t, m, n, r, model = "u", level = "u")
``` |

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

`m` |
mth unit for which you have time (or cost) information (default is m = 1) |

`n` |
nth unit of production you wish to plot the learning curve through (n > m) |

`r` |
learning curve rate |

`model` |
choose between the Crawford ("u") or Wright ("ca") models or plot both models with "both" |

`level` |
plot the learning curve at the unit ("u") or cumulative ("c") level |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ```
# library(learningCurve)
# An estimator wants to plot the learning curve for for units
# one through 125 where the first unit requires 100 hours and
# the learning rate is 85%.
# plot the time (or cost) per unit based on Crawford's Unit
# Learning Curve Function
plot_unit_curve(t = 100, m = 1, n = 125, r = .85)
# plot the cumulative time (or cost) per unit based on Crawford's
# Unit Learning Curve Function
plot_unit_curve(t = 100, m = 1, n = 125, r = .85, level = "c")
# plot the time (or cost) per unit based on Wright's Cumulative
# Average Learning Curve Function
plot_unit_curve(t = 100, m = 1, n = 125, r = .85, model = "ca")
# plot the cumulative time (or cost) per unit based on Wrights's
# Cumulative Average Learning Curve Function
plot_unit_curve(t = 100, m = 1, n = 125, r = .85, model = "ca", level = "c")
``` |

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