This is a static copy of a profile report

Home

Function details for meanThis is a static copy of a profile report

Home

mean (Calls: 111, Time: 0.007 s)
Generated 03-Jul-2019 21:34:54 using performance time.
function in file C:\Program Files\MATLAB\R2019a\toolbox\matlab\datafun\mean.m
Copy to new window for comparing multiple runs

Parents (calling functions)

Function NameFunction TypeCalls
ff_iwkz_vf_vecsvfunction111
Lines where the most time was spent

Line NumberCodeCallsTotal Time% TimeTime Plot
127
y = sum(x, dim, flag) ./ mysiz...
1110.003 s47.6%
84
dim = find(size(x)~=1,1);
1110.001 s11.9%
78
if ~isDimSet
1110.000 s5.2%
80
if isequal(x,[])
1110.000 s4.8%
52
if nargin == 1 || (nargin == 2...
1110.000 s4.5%
All other lines  0.002 s26.1%
Totals  0.007 s100% 
Children (called functions)

Function NameFunction TypeCallsTotal Time% TimeTime Plot
mean>mysizesubfunction1110.001 s18.4%
Self time (built-ins, overhead, etc.)  0.006 s81.6%
Totals  0.007 s100% 
Code Analyzer results
No Code Analyzer messages.
Coverage results
Show coverage for parent directory
Total lines in function131
Non-code lines (comments, blank lines)63
Code lines (lines that can run)68
Code lines that did run19
Code lines that did not run49
Coverage (did run/can run)27.94 %
Function listing
time 
Calls 
 line
   1 
function y = mean(x,dim,flag,flag2)
   2 
%MEAN   Average or mean value.
   3 
%   S = MEAN(X) is the mean value of the elements in X if X is a vector. 
   4 
%   For matrices, S is a row vector containing the mean value of each 
   5 
%   column. 
   6 
%   For N-D arrays, S is the mean value of the elements along the first 
   7 
%   array dimension whose size does not equal 1.
   8 
%
   9 
%   MEAN(X,'all') is the mean of all elements in X.
  10 
%
  11 
%   MEAN(X,DIM) takes the mean along the dimension DIM of X.
  12 
%
  13 
%   MEAN(X,VECDIM) operates on the dimensions specified in the vector 
  14 
%   VECDIM. For example, MEAN(X,[1 2]) operates on the elements contained
  15 
%   in the first and second dimensions of X.
  16 
%
  17 
%   S = MEAN(...,TYPE) specifies the type in which the mean is performed, 
  18 
%   and the type of S. Available options are:
  19 
%
  20 
%   'double'    -  S has class double for any input X
  21 
%   'native'    -  S has the same class as X
  22 
%   'default'   -  If X is floating point, that is double or single,
  23 
%                  S has the same class as X. If X is not floating point, 
  24 
%                  S has class double.
  25 
%
  26 
%   S = MEAN(...,NANFLAG) specifies how NaN (Not-A-Number) values are 
  27 
%   treated. The default is 'includenan':
  28 
%
  29 
%   'includenan' - the mean of a vector containing NaN values is also NaN.
  30 
%   'omitnan'    - the mean of a vector containing NaN values is the mean 
  31 
%                  of all its non-NaN elements. If all elements are NaN,
  32 
%                  the result is NaN.
  33 
%
  34 
%   Example:
  35 
%       X = [1 2 3; 3 3 6; 4 6 8; 4 7 7]
  36 
%       mean(X,1)
  37 
%       mean(X,2)
  38 
%
  39 
%   Class support for input X:
  40 
%      float: double, single
  41 
%      integer: uint8, int8, uint16, int16, uint32,
  42 
%               int32, uint64, int64
  43 
%
  44 
%   See also MEDIAN, STD, MIN, MAX, VAR, COV, MODE.
  45 

  46 
%   Copyright 1984-2018 The MathWorks, Inc.
  47 

< 0.001 
    111 
  48
isDimSet = nargin > 1 && ((~ischar(dim) && ~(isstring(dim) && isscalar(dim))) || ... 
  49 
    (~isInvalidText(dim) && strncmpi(dim,'all',max(strlength(dim), 1))));
< 0.001 
    111 
  50
isFlag2Set = nargin >= 4; 
  51 

< 0.001 
    111 
  52
if nargin == 1 || (nargin == 2 && isDimSet) 
  53 
    
< 0.001 
    111 
  54
    flag = 'default'; 
< 0.001 
    111 
  55
    omitnan = false; 
  56 
    
  57 
else % nargin >= 3 || (nargin == 2 && ~isDimSet)
  58 
        
  59 
    if nargin == 2
  60 
        flag = dim;
  61 
    elseif nargin == 3
  62 
        if ~isDimSet
  63 
            flag2 = dim;
  64 
            isFlag2Set = true;
  65 
        end
  66 
    elseif nargin == 4 && ~isDimSet
  67 
        error(message('MATLAB:mean:nonNumericSecondInput'));
  68 
    end
  69 
    
  70 
    if ~isFlag2Set
  71 
        flag2 = '';
  72 
    end
  73 
    
  74 
    [flag, omitnan] = parseInputs(flag, flag2, isFlag2Set);
  75 
        
< 0.001 
    111 
  76
end 
  77 

< 0.001 
    111 
  78
if ~isDimSet 
  79 
    % preserve backward compatibility with 0x0 empty
< 0.001 
    111 
  80
    if isequal(x,[]) 
  81 
        y = sum(x,flag)./0;
  82 
        return
  83 
    end
< 0.001 
    111 
  84
    dim = find(size(x)~=1,1); 
< 0.001 
    111 
  85
    if isempty(dim) 
  86 
        dim = 1;
  87 
    end
  88 
else
  89 
    if isempty(dim)
  90 
        error(message('MATLAB:mean:nonNumericSecondInput'));
  91 
    end
< 0.001 
    111 
  92
end 
  93 

< 0.001 
    111 
  94
if ~isobject(x) && isinteger(x) 
  95 
    % accumulation flag may still be partial
  96 
    isnative = strncmpi(flag, 'native', max(1, strlength(flag)));
  97 
    if intmin(class(x)) == 0  % unsigned integers
  98 
        y = sum(x,dim,flag);
  99 
        if (isnative && all(y(:) < intmax(class(x)))) || ...
 100 
                (~isnative && all(y(:) <= flintmax))
 101 
            % no precision lost, can use the sum result
 102 
            y = y./mysize(x,dim);
 103 
        else  % throw away and recompute
 104 
            y = intmean(x,dim,isnative);
 105 
        end
 106 
    else  % signed integers
 107 
        ypos = sum(max(x,0),dim,flag);
 108 
        yneg = sum(min(x,0),dim,flag);
 109 
        if (isnative && all(ypos(:) < intmax(class(x))) && ...
 110 
                all(yneg(:) > intmin(class(x)))) || ...
 111 
                (~isnative && all(ypos(:) <= flintmax) && ...
 112 
                all(yneg(:) >= -flintmax))
 113 
            % no precision lost, can use the sum result
 114 
            y = (ypos+yneg)./mysize(x,dim);
 115 
        else  % throw away and recompute
 116 
            y = intmean(x,dim,isnative);
 117 
        end
 118 
    end
< 0.001 
    111 
 119
else 
< 0.001 
    111 
 120
    if omitnan      
 121 
        % Compute sum and number of NaNs
 122 
        m = sum(x, dim, flag, 'omitnan');
 123 
        nr_nonnan = mysize(x, dim) - matlab.internal.math.countnan(x, dim);
 124 
        % Divide by the number of non-NaNs.
 125 
        y = m ./ nr_nonnan;
< 0.001 
    111 
 126
    else 
  0.003 
    111 
 127
        y = sum(x, dim, flag) ./ mysize(x,dim); 
< 0.001 
    111 
 128
    end 
< 0.001 
    111 
 129
end 
 130 
    
< 0.001 
    111 
 131
end 

Other subfunctions in this file are not included in this listing.