Prepare data inputs for curve fitting
[XOut,YOut]
= prepareCurveData(XIn,YIn)
[XOut,YOut,WOut]
= prepareCurveData(XIn,YIn,WIn)
[
transforms
data, if necessary, for curve fitting with the XOut
,YOut
]
= prepareCurveData(XIn
,YIn
)fit
function. The prepareCurveData
function
transforms data as follows:
Return data as columns regardless of the input shapes. Error if the number of elements do not match. Warn if the number of elements match, but the sizes differ.
Convert complex to real (remove imaginary parts) and warn of this conversion.
Remove NaN
or Inf
from
data and warn of this removal.
Convert nondouble to double and warn of this conversion.
Specify XIn
as empty if you want to fit
curves to y data against the index. If XIn
is
empty, then XOut
is a vector of indices into YOut
.
The fit
function can use the
vector XOut
for the x data
when there is only y data.
[
transforms
data including weights (XOut
,YOut
,WOut
]
= prepareCurveData(XIn
,YIn
,WIn
)WIn
) for curve fitting
with the fit
function.
When you generate code from the Curve Fitting app, the generated
code includes a call to prepareCurveData
(or prepareSurfaceData
for surface fits).
You can call the generated file from the command line with your original
data or new data as input arguments, to recreate your fits and plots.
If you call the generated file with new data, the prepareCurveData
function
ensures you can use any data that you can fit in the Curve Fitting
app, by reshaping if necessary to column doubles and removing NaN
s, Inf
s,
or the imaginary parts of complex numbers.

X data variable for curve fitting, of any numeric type. 

Y data variable for curve fitting, of any numeric type. 

Weights variable for curve fitting, of any numeric type. 

X data column variable prepared for curve fitting, of type double. If 

Y data column variable prepared for curve fitting, of type double. 

Weights column variable prepared for curve fitting, of type double. 