lc_rate_est: Learning Rate Estimate
In Auburngrads/learningCurve: An Implementation of Crawford's and Wright's Learning Curve Production Functions
Description
Usage
Arguments
Examples
Description
Computes the learning rate based on total time (cost) to produce the first n units, time (cost) required for the first unit and total units produced.
Usage
1
lc_rate_est(T, t, n)
Arguments
T
total time (or cost) required to produce the first n units
t
time (or cost) required to produce the first unit
n
total n units produced
Examples
1
2
3
4
5
6
# Estimate the learning curve rate for 250 units when the time
# for unit one took 80 hours and the total time for all 250
# units took 8,250 hours.
lc_rate_est(T = 8250, t = 80, n = 250)
## [1] 0.8947908
Auburngrads/learningCurve documentation built on May 5, 2019, 8:13 a.m.
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Description Usage Arguments Examples
Description
Computes the learning rate based on total time (cost) to produce the first n units, time (cost) required for the first unit and total units produced.
Usage
1 | lc_rate_est(T, t, n)
|
Arguments
T |
total time (or cost) required to produce the first n units |
t |
time (or cost) required to produce the first unit |
n |
total n units produced |
Examples
1 2 3 4 5 6 | # Estimate the learning curve rate for 250 units when the time
# for unit one took 80 hours and the total time for all 250
# units took 8,250 hours.
lc_rate_est(T = 8250, t = 80, n = 250)
## [1] 0.8947908
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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