iFit/find

PURPOSE

SYNOPSIS

DESCRIPTION

 d = find(s) : find iData signal non zeros values

   @iData/find function to find iData non zeros values

 input:  s: object or array (iData)
 output: v: value of the iData Signal (logical)
 ex:     'find(iData(rand(10)))'

 Version: Nov. 27, 2018
 See also  iData/find, iData

CROSS-REFERENCE INFORMATION

• cell [content,fields]=cell(s) : convert iData objects into cells
• 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
• size size(s) : get iData object size (number of elements)

• clim b = clim(s,[ cmin cmax ]) : Reduce iData C axis limits
• colormap h=colormap(objects, colormaps, ..., options): Produce surfaces from iData 2D objects with different colormaps
• corrcoef c = corrcoef(a,b) : correlation coefficient with an iData object
• find d = find(s) : find iData signal non zeros values
• findfield [match, types, nelements]=findfield(iData, field, option) : look for iData fields
• findobj [s,...]=findobj(s,...) : look for existing iData objects
• findstr [match, field]=findstr(s, str, option) : look for strings stored in iData
• getalias [link, label,names] = getalias(s, 'AliasName') : get iData alias
• getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
• iData
• image h = image(r,g,b, option) : Plot up to 3 images overlayed on the RGB channels
• isvector b = isvector(s) : True for vector iData object
• kmeans [b,c] = kmeans(X, k) : k-means clustering of iData object
• label b = label(s, alias, label) : Change iData label for a given alias/axis
• load d = load(s, file, loader, ...): iData file loader
• 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
• permute c = permute(a, order) : Permute object dimensions from iData objects/arrays
• plot h = plot(s, method, ...) : plot iData object
• rmaxis s = rmaxis(s, Axis) : delete iData axes
• setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
• setaxis s = setaxis(s, rank, alias, value) : set iData axes
• squeeze c = squeeze(a) : remove singleton dimensions from iData objects/arrays
• subsasgn b = subsasgn(a,index,b) : iData indexed assignement
• subsindex d = subsindex(s) : subscript index for iData objects
• subsref b = subsref(a,s) : iData indexed references
• 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