plot_unit_curve: Learning Curve Plot

In Auburngrads/learningCurve: An Implementation of Crawford's and Wright's Learning Curve Production Functions

Description

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.

Usage

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

Arguments

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

Examples

# 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")

Auburngrads/learningCurve documentation built on May 5, 2019, 8:13 a.m.