iFit/cat

PURPOSE

SYNOPSIS

DESCRIPTION

 s = cat(dim,a,...) : catenate iData objects elements along dimension

   @iData/cat function to catenate iData objects elements along dimension dim
     cat(dim,a,b,c,...) catenates along axis of rank dim. The axis is then extended.
     cat(1,a,...) accumulates on first dimension (columns)
     cat(a,b...)  accumulates on first dimension (columns) (uses dim=1)
     cat(0,a,...) catenates objects along a new dimension (dim = ndims(a)+1)

 input:  a: object or array (iData/array of)
         dim: dimension to accumulate (int)
 output: s: catenated data set (iData)
 ex:     c=cat(1,a,b); c=cat(1,[ a b ]); 

 Version: Nov. 26, 2018
 See also iData, iData/plus, iData/prod, iData/cumcat, iData/mean

CROSS-REFERENCE INFORMATION

• cat s = cat(dim,a,...) : catenate iData objects elements along dimension
• cell [content,fields]=cell(s) : convert iData objects into cells
• copyobj b = copyobj(s) : makes a copy of iData object
• end b = end(s,index,n) : end value for iData objects
• 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
• interp [b...] = interp(s, ...) : interpolate iData object
• isempty isempty(s) : true for empty iData object
• isnumeric b = isnumeric(s) : True for numeric iData object elements
• isscalar b = isscalar(s) : True for scalar iData objects
• isvector b = isvector(s) : True for vector iData object
• label b = label(s, alias, label) : Change iData label for a given alias/axis
• ndims d = ndims(s) : get the dimensionality of iData object
• ones s = ones(s,N,M,P,...) : initialize an iData array
• reshape c = reshape(a) : reshape the object Signal
• 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)

• cat s = cat(dim,a,...) : catenate iData objects elements along dimension
• colormap h=colormap(objects, colormaps, ..., options): Produce surfaces from iData 2D objects with different colormaps
• combine c = combine(a,b) : combines iData objects
• pca [b] = pca(X, k) : Principal component analysis of iData object(s)