pwSetTimeTransformation

 

 m = pwSetTimeTransformation(m, formula)

 Allows to perform a transformation f of time t with
 fittable parameters.

Arguments for pwSetTimeTransformation

 m        Model struct, see pwGetEmptyModel.
 formula  String comprising an algebraic expression for the time transformation.
          All parameters which are used in f must be added to the model using
          pwAddS with usedInTimeTransformation=true.
          The only other argument must be 't', the time.

Description

 
 It may be useful to transform the time to correspond a model to a data set,
 e.g. if the measured data has an unknown time-shift which varies from
 experiment to experiment.

 Currently it is not possible to fit with analytic Jacobian for the
 optimization using a time-transformed model.

 Only tForFit corresponding to the time-points of the experimental data is changed.

Examples

 
 % Add new parameters via pwAddS and set usedInTimeTransformation to true.
 % In order to avoid negative parameters include an offset in the formula
 % and start with timeshift > 0, e.g. 10:

 % m = pwAddS(m, ID, value, fitSetting, minValue, maxValue, unit, name,
 %            description, usedInTimeTransformation)
 m = pwAddS(m, 'timeshift', 10, 'local', 1, 30, [], [], [], true);

 % Set the transformation using the same parameter name:
 % m = pwSetTimeTransformation(m, formula)
 m = pwSetTimeTransformation(m, 't + timeshift - 10');

 % To include a scaling in time:
 m = pwSetTimeTransformation(m, 'a*t + b');

 % Time shift without offset:
 m = pwSetTimeTransformation(m, 't + b');

 % To remove the time transformation for the model m, e.g. in a daughter model
 m = pwSetTimeTransformation(m, []);

See also

pwGetEmptyModel
pwAddS