iFit/ones

PURPOSE

SYNOPSIS

DESCRIPTION

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

   @iData/ones 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: ones(iData,5,5) will create a 5-by-5 empty iData array
     ones(s,5,5) will return a 5-by-5 array filled with 's'

 Version: Aug. 22, 2017
 See also iData

CROSS-REFERENCE INFORMATION

• end b = end(s,index,n) : end value for iData objects
• 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
• cat s = cat(dim,a,...) : catenate iData objects elements along dimension
• caxis c = caxis(s, h) : Use the 2D/3D data as the colormap (CData property) in current object.
• getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
• hist hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets
• interp [b...] = interp(s, ...) : interpolate 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
• meshgrid s = meshgrid(a) : transforms an iData object so that its axes are grids
• 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
• squeeze c = squeeze(a) : remove singleton dimensions from iData objects/arrays
• subsasgn b = subsasgn(a,index,b) : iData indexed assignement