PURPOSE
[s,...] = set(s, 'PropertyName', Propertyvalue, ...) : set iData properties
SYNOPSIS
function this = set(this,varargin)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- disp disp(s) : display iData object (details)
- end b = end(s,index,n) : end value for iData objects
- iData d = iData(a, ...) : iData class object constructor
- isempty isempty(s) : true for empty iData object
- set [s,...] = set(s, 'PropertyName', Propertyvalue, ...) : set iData properties
- subsasgn b = subsasgn(a,index,b) : iData indexed assignement
This function is called by:
- caxis c = caxis(s, h) : Use the 2D/3D data as the colormap (CData property) in current object.
- colormap h=colormap(objects, colormaps, ..., options): Produce surfaces from iData 2D objects with different colormaps
- commandhistory commandhistory(s) : show the command history of iData object
- cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
- edit edit(s) : edit iData object Signal/Monitor
- event c = event(a) : build an event list
- fileattrib [attribute, link] = fileattrib(s, field) : return a field Attribute
- getframe frame = getframe(s, dim, options) : create an iData object thumbnail/frame matrix
- help c = help(s) : display iData information as a Dialogue window
- iData d = iData(a, ...) : iData class object constructor
- image h = image(r,g,b, option) : Plot up to 3 images overlayed on the RGB channels
- jacobian [b, j] = jacobian(a, new_axes, 'new_axes_labels'...) : computes the gradient (derivative) of iData objects
- kmeans [b,c] = kmeans(X, k) : k-means clustering of iData object
- linspace v = linspace(a,b,n) : creates a linearly spaced vector of objects
- load d = load(s, file, loader, ...): iData file loader
- logspace v = logspace(a,b,n) : creates a logarithmically spaced vector of objects
- max [m,id] = max(a,b, dim) : computes the maximum value of iData object(s)
- min [m,id] = min(a,b, dim) : computes the maximum value of iData object(s)
- pack b = pack(a) : compress iData storage to save memory
- pca [b] = pca(X, k) : Principal component analysis of iData object(s)
- peaks [half_width, center, amplitude, baseline] = peaks(s, dim, m) : peak position and width of iData
- plot h = plot(s, method, ...) : plot iData object
- resize c = resize(a) : resize/rebin the object Signal
- rotate s = rotate(a, theta) : computes the rotation of iData objects around the origin
- saveas f = saveas(s, filename, format, options) : save iData object into various data formats
- set [s,...] = set(s, 'PropertyName', Propertyvalue, ...) : set iData properties
- slice slice(s) : Plot a 3D object with slice rendering
- smooth Z = smooth(Y) : smooth iData objects
- squeeze c = squeeze(a) : remove singleton dimensions from iData objects/arrays
- subsasgn b = subsasgn(a,index,b) : iData indexed assignement
- subsref b = subsref(a,s) : iData indexed references
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