Description Usage Arguments Examples
Computes the difference between the unit or cumulative prediction estimates provided by the Crawford and Wright models.
1 |
t |
time (or cost) required to produce the first unit |
m |
mth unit for which you have time (or cost) information (default is m = 1) |
n |
the nth unit you wish to predict the time (or cost) for when comparing unit predictions or the last unit in the block when comparing cumulative time (or costs) |
r |
learning curve rate |
level |
calculate unit ("u") versus cumulative ("c") differences (default = "u") |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # The first unit of production is expected to require 50 hours and
# the learning rate is expected to be 88.5%. However, the estimator
# is not sure whether the learning rate is based on the unit model
# or cumulative average model and wants to understand the difference
# between potential outcomes for each unit.
# differences between per unit time requirements
delta(t = 50, m = 1, n = 25, r = .885)
## [1] 0.000000 5.750000 6.103821 6.110519 6.041146 5.953271 5.863560 5.777401 5.696436
## [10] 5.620942 5.550687 5.485263 5.424223 5.367136 5.313606 5.263280 5.215844 5.171025
## [19] 5.128579 5.088293 5.049980 5.013473 4.978624 4.945304 4.913395
# differences between cumulative unit time requirements
delta(t = 50, m = 1, n = 25, r = .885, level = "c")
## [1] 0.00000 5.75000 11.85382 17.96434 24.00549 29.95876 35.82232 41.59972
## [9] 47.29615 52.91710 58.46778 63.95305 69.37727 74.74440 80.05801 85.32129
## [17] 90.53713 95.70816 100.83674 105.92503 110.97501 115.98848 120.96711 125.91241
## [25] 130.82581
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