iFit/setalias
PURPOSE
[s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
SYNOPSIS
function this = setalias(this,names,links,labels)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- end b = end(s,index,n) : end value for iData objects
- find d = find(s) : find iData signal non zeros values
- get [...] = get(s, 'PropertyName', ...) : get iData object properties
- iData
- isempty isempty(s) : true for empty iData object
- isnumeric b = isnumeric(s) : True for numeric iData object elements
- label b = label(s, alias, label) : Change iData label for a given alias/axis
- min [m,id] = min(a,b, dim) : computes the maximum value of iData object(s)
- setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
This function is called by:
- camproj s = camproj(a,dim) : projection/radial integration of iData objects elements
- cart2sph s = cart2sph(a,dim) : cartesian to polar/spherical representation of iData objects
- cat s = cat(dim,a,...) : catenate iData objects elements along dimension
- cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
- event c = event(a) : build an event list
- fft c = fft(a) : computes the Discrete Fourier transform of iData objects
- fill FILL fill-in over missing data
- gradient g = gradient(a, dim) : computes the gradient (derivative) of iData objects
- hist hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets
- iData
- image h = image(r,g,b, option) : Plot up to 3 images overlayed on the RGB channels
- imroi imroi: define a region of interest on a data set
- interp [b...] = interp(s, ...) : interpolate iData object
- jacobian [b, j] = jacobian(a, new_axes, 'new_axes_labels'...) : computes the gradient (derivative) of iData objects
- 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
- mean b = mean(s, dim) : mean value of iData object
- median b = median(s, dim) : median value of iData object
- mtimes c = mtimes(a,b) : computes the matrix product of iData objects
- pack b = pack(a) : compress iData storage to save memory
- pca [b] = pca(X, k) : Principal component analysis of iData object(s)
- rmalias s = rmalias(s, AliasName) : removes iData aliases
- setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
- setaxis s = setaxis(s, rank, alias, value) : set iData axes
- sort s = sort(a,dim) : Sort iData objects axes in ascending or descending order
- 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
- unique s = unique(a,dim) : set unique iData objects axes with no repetitions
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