LinearRegression (Fiji Javadocs 0-SNAPSHOT API)

java.lang.Object
- sc.fiji.timelapse.LinearRegression

public class LinearRegression
extends Object

Field Summary

Fields
Modifier and Type	Field and Description
`protected double`	`a`
`protected double`	`b`
`protected boolean`	`calculated`
`protected int`	`count`
`protected double`	`sx`
`protected double`	`sxx`
`protected double`	`sxy`
`protected double`	`sy`

Constructor Summary

Constructors
Constructor and Description

LinearRegression()

LinearRegression(double[] x, double[] y)

Constructors
Constructor and Description
`LinearRegression()`
`LinearRegression(double[] x, double[] y)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`add(double x, double y)`
`protected void`	`calculate()`
`double`	`distanceTo(double x, double y)`
`double[][]`	`filterOutOutliers(double[] x, double[] y, double tolerance)` Filter out outliers.
`double`	`get(double x)`
`double[]`	`get(double[] x)`
`double`	`getA()`
`double`	`getB()`
`void`	`reset()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

calculated
```
protected boolean calculated
```

a
```
protected double a
```

b
```
protected double b
```

sx
```
protected double sx
```

sxx
```
protected double sxx
```

sy
```
protected double sy
```

sxy
```
protected double sxy
```

count
```
protected int count
```

Constructor Detail

LinearRegression

public LinearRegression(double[] x,
                        double[] y)

LinearRegression
```
public LinearRegression()
```

Method Detail

add

public void add(double x,
                double y)

reset
```
public void reset()
```

calculate
```
protected void calculate()
```

getA
```
public double getA()
```

getB
```
public double getB()
```

get
```
public double get(double x)
```

get
```
public double[] get(double[] x)
```

filterOutOutliers
```
public double[][] filterOutOutliers(double[] x,
                                    double[] y,
                                    double tolerance)
```
Filter out outliers.

Parameters:

tolerance - An outlier is a pair (x, y) deviating more than tolerance * average deviation

Returns:

new double[][] { x', y' }.

distanceTo

public double distanceTo(double x,
                         double y)

Class LinearRegression

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

calculated

a

b

sx

sxx

sy

sxy

count

Constructor Detail

LinearRegression

LinearRegression

Method Detail

add

reset

calculate

getA

getB

get

get

filterOutOutliers

distanceTo