quality_controls
Version:
A library for of functions for quality control metrics
61 lines (43 loc) • 2.13 kB
Markdown
# Quality Controls
## A Library for Calculating UCL and LCL Bounds
This is simple library for calculating quality controls bounds. Currently there are 2 types of formulas.
1. Regular control bounds, with include both population and sample datasets.
2. P-Chart formula
### Regular Control Bounds
Here is an example of control bounds for regular population dataset
```javascript
import { DataWithControls } from "quality_controls/dist/DataWithControls";
const myDefects = [/* numbers go here*/]
const myDatasetWithControls = new DataWithControls(myDefects)
```
```javascript
// or like this:
const myDatasetWithControls = new DataWithControls(myDefects, "population")
// or like this
const myDatasetWithControls = new DataWithControls(myDefects, 0)
```
To change the dataset type from a population to a sample you would set it like this:
```javascript
const mySampleDatasetWithControls = new DataWithControls(myDefects, "sample")
// or like this:
const mySampleDatasetWithControls = new DataWithControls(myDefects, 1)
```
### P-Chart Control Bounds
For application of P-Chart Control Bounds you also need an array of numbers representing the population size
```javascript
import { PercentDataWithControls } from "quality_controls/dist/PercentDataWithControls";
const myDefects = [/* numbers go here*/]
const myPopSizes = [/* numbers go here*/]
const myPChartData = new PercentDataWithControls(myDefects, myPopSizes)
```
### Methods
1. getMeanArr(): Returns an array of number which are the mean.
2. getLowerBoundsArr(): Returns an array of numbers representing the LCL
3. getUpperBoundsArr(): Returns an array of numbers representing the UCL
4. getData(): returns an object with arrays of relevant data:
* defects: An array the count of defects
* mean: an array of number which are the mean.
* upperBounds: an array of numbers representing the UCL
* lowerBounds: an array of numbers representing the LCL
* populationSizes: [ONLY for P-Charts] an array of numbers representing the population sizes
* percent: [ONLY for P-Charts] an array of numbers representing the defects as a percent