pwAddS
m = pwAddS(m, ID, value, fitSetting, minValue, maxValue, unit, name,
description, usedInTimeTransformation)
Adds a scaling parameter to a model.
Arguments for pwAddS
ID ID Should start with 'scale_'
value float Default 1
fitSetting string 'global', 'local' (default), or 'fix'
minValue float minimal value during fitting
maxValue float maximal value during fitting
unit string
name string descriptive name
description string
usedInTimeTransformation bool If true, the parameter is used in the
time transformation of the model.
See pwSetTimeTransformation.
Description
Often, the concentration of the observable players can not be measured directly,
but through a scaling factor as for example with Western Blotting. The scaling
parameters behave like dynamic parameters, but are related to a set
of observations and can be fitted separately.
All parameters which occur only in the observations should be
specified using pwAddS and not pwAddK in contrast to dynamic parameters.
Note: Each observation comprises implicitely a scaling parameter.
Please set this parameter to a value of 1 and fix it, if your data
contains absolute values without an unknown scaling.
Examples
m = pwAddS(m, 'scale_Stat_obs', 1.2, 'global', 0, 100);
For absolute data:
m = pwAddY(m, 'Erk', 'Erk_obs', 'scale_Erk_obs');
m = pwAddS(m, 'scale_Erk_obs', 1, 'fix');
See also