getdata
Get simulation data from SimData
object
Description
Examples
Extract Data from SimData
Object
Load the G-protein model.
sbioloadproject('gprotein.sbproj');
Simulate the model.
sdObj = sbiosimulate(m1); sbioplot(sdObj);
The plot shows all the states together. Plot each state separately on its own axes in a subplot.
First, extract the simulation data from the SimData
object.
[time,data,names] = getdata(sdObj);
Calculate the number of rows and columns needed for the subplot.
sqrtnames = sqrt(numel(names)); nrows = round(sqrtnames); ncolumns = ceil(sqrtnames);
Create a subplot and plot each state on its own axes.
figure for(i = 1:numel(names)) subplot(nrows,ncolumns,i) plot(time,data(:,i)); title(names(i)); end
Input Arguments
simdata
— Simulation data
SimData
object | array of SimData
objects
Simulation data, specified as a SimData
object or array of
SimData
objects.
format
— Simulation data format
character vector | string
Simulation data format, specified as a character vector or string. Some formats require you to specify only one output argument. The valid formats follow.
'num'
— This format returns simulation time points and simulation data in numeric arrays and the names of quantities and sensitivities as a cell array. This format is the default when you rungetdata
with multiple output arguments.'nummetadata'
— This format returns a cell array of metadata structures instead of the names of quantities and sensitivities as the third output argument.'numqualnames'
— This format returns qualified names in the third output argument to resolve ambiguities.
You must specify only one output argument for the following formats.
'simdata'
— This format returns data in a newSimData
object or an array ofSimData
objects. This format is the default when you specify a single output argument.'struct'
— This format returns a structure or structure array that contains both data and metadata.'ts'
— This format returns data as a cell array.If
simdata
is scalar, the cell array is an m-by-1 array, where each element is atimeseries
object. m is the number of quantities and sensitivities logged during the simulation.If
simdata
is not scalar, the cell array is k-by-1, where each element of the cell array is an m-by-1 cell array oftimeseries
objects. k is the size ofsimdata
, and m is the number of quantities or sensitivities in eachSimData
object insimdata
. In other words, the function returns an individual time series for each state or column and for eachSimData
object insimdata
.
'tslumped'
— This format returns the data as a cell array oftimeseries
objects, combining data from eachSimData
object into a single time series.
Output Arguments
t
— Simulation time points
numeric vector | cell array
Simulation time points, returned as a numeric vector or cell array. If
simdata
is scalar, t
is an
n-by-1 vector, where n is the number of time
points. If simdata
is an array of objects, t
is a k-by-1 cell array, where k is the size of
simdata
.
x
— Simulation data
numeric matrix | cell array
Simulation data, returned as a numeric matrix or cell array. If simdata
is scalar, x
is an n-by-m
matrix, where n is the number of time points and m
is the number of quantities and sensitivities logged during the simulation. If
simdata
is an array of objects, x
is a
k-by-1 cell array, where k is the size of
simdata
.
names
— Names of quantities and sensitivities
cell array
Names of quantities and sensitivities logged during the simulation, returned as a cell array.
If simdata
is scalar, names
is an
m-by-1 cell array. If simdata
is an array of
objects, names
is a k-by-1 cell array, where
k is the size of simdata
.
sdOut
— Simulation results
SimData
object
Simulation results, returned as a SimData
object.
Version History
Introduced in R2008b
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