applyLQAS: Lot Quality Assurance Sampling (LQAS) algorithm using a two...
In validmeasures/wsup: An Implementation of the WSUP Urban Water and Sanitation Survey in R
Description
Usage
Arguments
Value
Examples
Description
Lot Quality Assurance Sampling (LQAS) algorithm using a two standard, three
class classification scheme.
Usage
1
applyLQAS(x, upper = 0.8, lower = 0.5)
Arguments
x
A numeric vector
upper
A numeric value between 0 to 1 specifying the upper standard to
use for classifying. Default is 0.8
lower
A numeric value between 0 to 1 specifying the lower standard to
use for classifying. Default is 0.5
Value
A character vector providing corresponding classes. Can be either
"High", "Moderate", "Low".
Examples
1
#
validmeasures/wsup documentation built on Dec. 16, 2019, 4:50 a.m.
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Description Usage Arguments Value Examples
Description
Lot Quality Assurance Sampling (LQAS) algorithm using a two standard, three class classification scheme.
Usage
1 | applyLQAS(x, upper = 0.8, lower = 0.5)
|
Arguments
x |
A numeric vector |
upper |
A numeric value between 0 to 1 specifying the upper standard to use for classifying. Default is 0.8 |
lower |
A numeric value between 0 to 1 specifying the lower standard to use for classifying. Default is 0.5 |
Value
A character vector providing corresponding classes. Can be either "High", "Moderate", "Low".
Examples
1 | #
|
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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