PURPOSE
s = setaxis(s, rank, alias, value) : set iData axes
SYNOPSIS
function this = setaxis(this, rank, alias, value)
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
- getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
- iData
- isempty isempty(s) : true for empty iData object
- isnan b = isnan(s) : True for NaN iData object elements
- isnumeric b = isnumeric(s) : True for numeric iData object elements
- isvector b = isvector(s) : True for vector iData object
- max [m,id] = max(a,b, dim) : computes the maximum value of iData object(s)
- ndims d = ndims(s) : get the dimensionality of iData object
- not b = not(s) : computes the logical 'not' of iData object
- permute c = permute(a, order) : Permute object dimensions from iData objects/arrays
- prod s = prod(a,dim) : computes the product of iData objects elements
- real b = real(s) : real value of iData object
- setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
- setaxis s = setaxis(s, rank, alias, value) : set iData axes
- size size(s) : get iData object size (number of elements)
- sort s = sort(a,dim) : Sort iData objects axes in ascending or descending order
- times c = times(a,b) : computes the product of iData objects
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
- circshift b=circshift(a, rank, shift): shifts the axis of specified rank by a value
- cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
- dog s= dog(dim,a) : split iData objects elements along dimension
- event c = event(a) : build an event list
- fft c = fft(a) : computes the Discrete Fourier transform 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
- interp [b...] = interp(s, ...) : interpolate iData object
- jacobian [b, j] = jacobian(a, new_axes, 'new_axes_labels'...) : computes the gradient (derivative) of iData objects
- label b = label(s, alias, label) : Change iData label for a given alias/axis
- max [m,id] = max(a,b, dim) : computes the maximum value of iData object(s)
- mean b = mean(s, dim) : mean value of iData object
- median b = median(s, dim) : median value of iData object
- meshgrid s = meshgrid(a) : transforms an iData object so that its axes are grids
- 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)
- reshape c = reshape(a) : reshape the object Signal
- resize c = resize(a) : resize/rebin the object Signal
- rotate s = rotate(a, theta) : computes the rotation of iData objects around the origin
- 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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