PURPOSE
[val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
SYNOPSIS
function [val, lab] = getaxis(s,ax)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- cell [content,fields]=cell(s) : convert iData objects into cells
- double d = double(s) : convert iData into doubles
- 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
- getalias [link, label,names] = getalias(s, 'AliasName') : get iData alias
- getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
- isempty isempty(s) : true for empty iData object
- isfloat b = isfloat(s) : True for float iData object elements
- isnan b = isnan(s) : True for NaN iData object elements
- isnumeric b = isnumeric(s) : True for numeric iData object elements
- 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
- ones s = ones(s,N,M,P,...) : initialize an iData array
- prod s = prod(a,dim) : computes the product of iData objects elements
- rdivide c = rdivide(a,b) : computes the ratio of iData objects
- real b = real(s) : real value of iData object
- reshape c = reshape(a) : reshape the object Signal
- size size(s) : get iData object size (number of elements)
- subsref b = subsref(a,s) : iData indexed references
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
- clim b = clim(s,[ cmin cmax ]) : Reduce iData C axis limits
- colon b = colon(s) : vector of arrays
- conv c = conv(a,b) : computes the convolution of iData objects
- convn c = convn(a,b) : computes the convolution of an iData object with a response function
- corrcoef c = corrcoef(a,b) : correlation coefficient with an iData object
- cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
- deconv c = deconv(a,b) : computes the deconvolution of iData objects
- disp disp(s) : display iData object (details)
- dog s= dog(dim,a) : split iData objects elements along dimension
- double d = double(s) : convert iData into doubles
- edit edit(s) : edit iData object Signal/Monitor
- event c = event(a) : build an event list
- fft c = fft(a) : computes the Discrete Fourier transform of iData objects
- getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
- gradient g = gradient(a, dim) : computes the gradient (derivative) of iData objects
- help c = help(s) : display iData information as a Dialogue window
- hist hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets
- 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
- interp [b...] = interp(s, ...) : interpolate iData object
- intersect [ai,bi] = intersect(a, b) : computes object intersection area and values
- isequal c = isequal(a,b) : full numerical equality comparison of iData objects
- isfield b = isfield(s, field) : check existence of field/alias in iData objects
- isvector b = isvector(s) : True for vector 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)
- mtimes c = mtimes(a,b) : computes the matrix product of iData objects
- ndims d = ndims(s) : get the dimensionality of iData object
- pack b = pack(a) : compress iData storage to save memory
- peaks [half_width, center, amplitude, baseline] = peaks(s, dim, m) : peak position and width of iData
- plot h = plot(s, method, ...) : plot iData object
- reducevolume h = reducevolume(s, factor) : reduce an iData object size
- 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
- saveas f = saveas(s, filename, format, options) : save iData object into various data formats
- slice slice(s) : Plot a 3D object with slice rendering
- 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
- std [half_width, center] = std(s, dim) : standard deviation of iData
- subsasgn b = subsasgn(a,index,b) : iData indexed assignement
- subsref b = subsref(a,s) : iData indexed references
- union [ai,bi] = union(a, b) : computes object union area and values
- unique s = unique(a,dim) : set unique iData objects axes with no repetitions
- xlim b = xlim(s,[ xmin xmax ]) : Reduce iData X axis limits
- ylim b = ylim(s,[ ymin ymax ]) : Reduce iData Y axis limits
- zlim b = zlim(s,[ zmin zmax ]) : Reduce iData Z axis limits
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