iFit/zeros

PURPOSE

SYNOPSIS

DESCRIPTION

 s = zeros(s,N,M,P,...) : initialize an iData array

   @iData/zeros function to create an array of 's' iData objects
   The object 's' is duplicated into an array. Use s=iData to get an empty array.

 input:  s: object or array (iData)
 output: b: object or array (iData)
 ex: zeros(iData,5,5) will create a 5-by-5 empty iData array
     zeros(s,5,5) will return a 5-by-5 array filled with 's'

 Version: Nov. 26, 2018
 See also iData

CROSS-REFERENCE INFORMATION

• copyobj b = copyobj(s) : makes a copy of iData object
• end b = end(s,index,n) : end value for iData objects
• iData
• isempty isempty(s) : true for empty iData object
• reshape c = reshape(a) : reshape the object Signal
• size size(s) : get iData object size (number of elements)
• zeros s = zeros(s,N,M,P,...) : initialize an iData array

• 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
• 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
• conv c = conv(a,b) : computes the convolution of iData objects
• copyobj b = copyobj(s) : makes a copy of iData object
• cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
• dog s= dog(dim,a) : split iData objects elements along dimension
• edit edit(s) : edit iData object Signal/Monitor
• fft c = fft(a) : computes the Discrete Fourier transform of iData objects
• fill FILL fill-in over missing data
• hist hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets
• 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
• intersect [ai,bi] = intersect(a, b) : computes object intersection area and values
• isempty isempty(s) : true for empty iData object
• 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
• 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
• 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)
• 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
• ones s = ones(s,N,M,P,...) : initialize an iData array
• 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
• reducevolume h = reducevolume(s, factor) : reduce an iData object size
• rotate s = rotate(a, theta) : computes the rotation of iData objects around the origin
• smooth Z = smooth(Y) : smooth iData objects
• sort s = sort(a,dim) : Sort iData objects axes in ascending or descending order
• unique s = unique(a,dim) : set unique iData objects axes with no repetitions
• zeros s = zeros(s,N,M,P,...) : initialize an iData array