Uses of Class net.imagej.axis.Variable2Axis (ImageJ2 Javadocs 0-SNAPSHOT API)

Packages that use Variable2Axis
Package	Description
net.imagej.axis

Subclasses of Variable2Axis in net.imagej.axis
Modifier and Type	Class and Description
`class`	`ChapmanRichardsAxis` Implement an axis that uses Chapman and Richards method of scaling.
`class`	`DefaultLinearAxis` Default implementation of `LinearAxis`.
`class`	`ExponentialAxis` ExponentialAxis is a `CalibratedAxis` that scales raw values by the equation `y = a + b * exp(c + d*x)`.
`class`	`ExponentialRecoveryAxis` ExponentialRecoveryAxis is a `CalibratedAxis` that scales raw values by the equation `y = a + b * (1 - exp(c + d*x))`.
`class`	`GammaVariateAxis` GammaVariateAxis is a `CalibratedAxis` that scales raw values by the equation `y = a * (x-b)^c*exp(-(x-b)/d)`.
`class`	`GaussianAxis` GaussianAxis is a `CalibratedAxis` that scales raw values by the equation `y = a + (b-a)exp(-(x-c)(x-c)/(2dd))`.
`class`	`InverseRodbardAxis` InverseRodbardAxis is a `CalibratedAxis` that scales raw values by the equation `y = a*((x-b)/(c-x))^(1/d)`.
`class`	`LogLinearAxis` LogLinearAxis is a `CalibratedAxis` that scales raw values by the equation `y = a + b * ln(c + d*x)`.
`class`	`PowerAxis` PowerAxis is a `CalibratedAxis` that scales raw values by the equation y = a + b*x^c.
`class`	`RodbardAxis` RodbardAxis is a `CalibratedAxis` that scales raw values by the equation `y = a + (b-a) / (1 + (x/c)^d)`.
`class`	`Variable3Axis` Abstract superclass for axes with three variables.
`class`	`Variable4Axis` Abstract superclass for axes with four variables.

Uses of Classnet.imagej.axis.Variable2Axis