# ca_block: Wright's Cumulative Average Learning Curve Function In learningCurve: An Implementation of Crawford's and Wright's Learning Curve Production Functions

## Description

Computes cumulative time or cost for units m through n in a production block using Wright's cumulative average model. Assumes the block begins at unit m and ends at unit n.

## Usage

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

## Arguments

 `t` time (or cost) required for the mth unit of production `n` last unit of the production block of concern `r` learning curve rate `m` first unit of the production block of concern (default: m = 1) `na.rm` Should `NA` values be removed?

## Examples

 ```1 2 3 4 5 6 7 8 9``` ```# Production of the first 200 units of a product is nearing its # end. Your customer said he is willing to buy an additional 50 # units. There will be no break in production or in learning. The # first unit required 75 hours and the first 200 units had an 85% # learning curve. How many hours will the second block of 50 units # require? ca_block(t = 75, m = 201, n = 250, r = .85) ## [1] 806.772 ```

learningCurve documentation built on May 2, 2019, 2:13 p.m.