iFit/hist

PURPOSE

SYNOPSIS

DESCRIPTION

 hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets

   @iData/hist function to compute the accumulated histogram from an event data
     set. This is similar to a call to hist and accumarray.

   hist(a, axis1, axis2, ...) specify the axes as bin edges. The axes 
     should be vectors or a single value that indicates the number of bins in the
     range [min, max] of the corresponding axis rank in the initial object. 
     The bin edges vectors have length(a{k])+1 elements. A default of 33 bins 
     is used when not specified.

   hist(a, [ bin1 bin2 ...]) same as above when specifying the number of bins.

   hist(a, ..., 'Fun', FUN) 
     applies the function FUN to each subset of elements of VAL.  FUN is
     a function that accepts a column vector and returns
     a numeric, logical, or char scalar, or a scalar cell.  A has the same class
     as the values returned by FUN.  FUN is @SUM by default.  Specify FUN as []
     for the default behavior.

   hist(a, ..., 'fill')
     performs an interpolation between the events to fill unset histogram bins.

 The histogram can be converted back to an event list using the 'event' method.

 input:  a: object or array (iData)
         axis1, axis2, ...: bins or number of bins  (vector or scalar)
 output: c: histogrammed object (iData)
 ex:     a=iData([ ifitpath 'Data/Monitor_GV*']); b=hist(a);

 Version: Aug. 22, 2017
 See also iData, accumarray, hist, histc, iData/plot, sum, iData/interp, iData/event

CROSS-REFERENCE INFORMATION

• 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
• fill FILL fill-in over missing data
• find d = find(s) : find iData signal non zeros values
• get [...] = get(s, 'PropertyName', ...) : get iData object properties
• 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
• iData d = iData(a, ...) : iData class object constructor
• 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
• linspace v = linspace(a,b,n) : creates a linearly spaced vector of objects
• max [m,id] = max(a,b, dim) : computes the maximum value of iData object(s)
• min [m,id] = min(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
• rmalias s = rmalias(s, AliasName) : removes iData aliases
• 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
• size size(s) : get iData object size (number of elements)
• sqrt b = sqrt(s) : square root value of iData object
• strfind [match, field]=strfind(s, pattern, option) : search for pattern in iData
• subsref b = subsref(a,s) : iData indexed references
• zeros s = zeros(s,N,M,P,...) : initialize an iData array

• hist hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets
• interp [b...] = interp(s, ...) : interpolate iData object
• kmeans [b,c] = kmeans(X, k) : k-means clustering of iData object
• meshgrid s = meshgrid(a) : transforms an iData object so that its axes are grids
• slice slice(s) : Plot a 3D object with slice rendering