MEDIAN overloads the median operator for Analysis objects. Compute the median value. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: MEDIAN overloads the median operator for Analysis objects. Compute the median value. MEDIAN(ao) is the median value of the elements in ao.data. CALL: ao_out = median(ao_in); ao_out = median(ao_in, dim); ao_out = median(ao_in, pl); ao_out = median(ao1, pl1, ao_vector, ao_matrix, pl2); POSSIBLE VALUES: ao_in = [ao2 ao3] ao_in = ao_vector ao_in = ao_matrix PARAMETER LIST: <key> <value> <description> 'dim' 1 or 2 or 3 ... takes the median along the dimension dim tsdata fsdata xydata 'xdata' 't' 'f' 'x' compute the median of the x-axis 'ydata' 'x' 'xx' 'y' compute the median of the y-axis The following call returns a parameter list object that contains the default parameter values: >> pl = median(ao, 'Params') HISTORY: 23-05-2007 Diepholz Creation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
0001 function ao_out = median (varargin) 0002 % MEDIAN overloads the median operator for Analysis objects. Compute the median value. 0003 % 0004 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0005 % 0006 % DESCRIPTION: MEDIAN overloads the median operator for Analysis objects. 0007 % Compute the median value. 0008 % MEDIAN(ao) is the median value of the elements in ao.data. 0009 % 0010 % CALL: ao_out = median(ao_in); 0011 % ao_out = median(ao_in, dim); 0012 % ao_out = median(ao_in, pl); 0013 % ao_out = median(ao1, pl1, ao_vector, ao_matrix, pl2); 0014 % 0015 % POSSIBLE VALUES: ao_in = [ao2 ao3] 0016 % ao_in = ao_vector 0017 % ao_in = ao_matrix 0018 % 0019 % PARAMETER LIST: <key> <value> <description> 0020 % 'dim' 1 or 2 or 3 ... takes the median along the 0021 % dimension dim 0022 % tsdata fsdata xydata 0023 % 'xdata' 't' 'f' 'x' compute the median of the x-axis 0024 % 'ydata' 'x' 'xx' 'y' compute the median of the y-axis 0025 % 0026 % The following call returns a parameter list object that contains the 0027 % default parameter values: 0028 % 0029 % >> pl = median(ao, 'Params') 0030 % 0031 % HISTORY: 23-05-2007 Diepholz 0032 % Creation 0033 % 0034 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0035 0036 VERSION = '$Id: median.m,v 1.7 2007/10/24 17:35:28 ingo Exp $'; 0037 ao_out = []; 0038 pl = plist(); 0039 0040 %% Check if this is a call for parameters 0041 if nargin == 2 0042 if isa(varargin{1}, 'ao') && ischar(varargin{2}) 0043 in = char(varargin{2}); 0044 if strcmp(in, 'Params') 0045 ao_out = getDefaultPL(); 0046 return 0047 elseif strcmp(in, 'Version') 0048 ao_out = VERSION; 0049 return 0050 end 0051 end 0052 end 0053 0054 %% store the input ao's in the vector: ao_set 0055 ao_set = []; 0056 for i=1:nargin 0057 a = varargin{i}; 0058 if isa(a, 'ao') 0059 ao_set = [ao_set a]; 0060 elseif isa(varargin{i}, 'plist') 0061 pl = [pl varargin{i}]; 0062 elseif isnumeric(varargin{i}) 0063 pl = [pl plist(param('dim', varargin{i}))]; 0064 end 0065 end 0066 0067 if ~isempty (pl) 0068 pl = combine(pl); 0069 end 0070 0071 %% go through analysis objects 0072 for j=1:numel(ao_set) 0073 a = ao_set(j); 0074 0075 [h, median_data] = single_operation(a.data, 'median', pl); 0076 0077 %% Add the history from the ao object to the history 0078 h = set(h, 'inhists', [a.hist]); 0079 0080 %% Set the var_name to the history 0081 if (j <= nargin) 0082 if (isempty (inputname(j))) 0083 h = set(h, 'invars', cellstr('no var_name')); 0084 else 0085 h = set(h, 'invars', cellstr(inputname(j))); 0086 end 0087 else 0088 h = set(h, 'invars', cellstr('no var_name')); 0089 end 0090 0091 % convert to cdata type 0092 median_x = []; 0093 median_y = []; 0094 0095 do_xdata = find(pl, 'xdata'); 0096 do_ydata = find(pl, 'ydata'); 0097 0098 %% Is no axis entry in the parameter list 0099 %% then set the default axis = xdata 0100 if isempty(do_xdata) && isempty(do_ydata) 0101 do_ydata = 'yes'; 0102 end 0103 0104 %% Get the operation result. It is stored in the individual axis 0105 pl_get_axis = plist([param('xdata', do_xdata) param('ydata', do_ydata)]); 0106 [median_x, median_y] = get_xy_values(median_data, pl_get_axis); 0107 0108 median_cdata = cdata([median_x median_y]); 0109 median_cdata = set (median_cdata, 'name', median_data.name); 0110 median_cdata = set (median_cdata, 'xunits', median_data.xunits); 0111 median_cdata = set (median_cdata, 'yunits', median_data.yunits); 0112 0113 %% create a new analysis objects 0114 new_ao = a; 0115 new_ao = ao (median_cdata, h); 0116 new_ao = set (new_ao, 'name', sprintf('median(%s)',a.name) ); 0117 0118 ao_out = [ao_out new_ao]; 0119 0120 end 0121 0122 % Reshape the ouput to the same size of the input 0123 ao_out = reshape(ao_out, size(ao_set)); 0124 0125 0126 %% Get default params 0127 function pl_default = getDefaultPL() 0128 0129 pl_default = plist([param('dim', '') 0130 param('xdata', '') 0131 param('ydata', '')]); 0132 0133 % END