VAR overloads the var operator for Analysis objects. Compute the variance. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: VAR overloads the var operator for Analysis objects. Compute the variance. VAR(ao) is the variance of the values in ao.data. CALL: ao_out = var(ao_in); ao_out = var(ao_in, dim); ao_out = var(ao_in, W, DIM); --> use the parameterlist ao_out = var(ao_in, pl); ao_out = var(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> 'W' [] represent the weight vector W 'dim' 1 or 2 or 3 ... takes the var along the dimension dim tsdata fsdata xydata 'xdata' 't' 'f' 'x' compute the var of the x-axis 'ydata' 'x' 'xx' 'y' compute the var of the y-axis The following call returns a parameter list object that contains the default parameter values: >> pl = var(ao, 'Params') HISTORY: 23-05-2007 Diepholz Creation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
0001 function ao_out = var (varargin) 0002 % VAR overloads the var operator for Analysis objects. Compute the variance. 0003 % 0004 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0005 % 0006 % DESCRIPTION: VAR overloads the var operator for Analysis objects. 0007 % Compute the variance. 0008 % VAR(ao) is the variance of the values in ao.data. 0009 % 0010 % CALL: ao_out = var(ao_in); 0011 % ao_out = var(ao_in, dim); 0012 % ao_out = var(ao_in, W, DIM); --> use the parameterlist 0013 % ao_out = var(ao_in, pl); 0014 % ao_out = var(ao1, pl1, ao_vector, ao_matrix, pl2); 0015 % 0016 % POSSIBLE VALUES: ao_in = [ao2 ao3] 0017 % ao_in = ao_vector 0018 % ao_in = ao_matrix 0019 % 0020 % PARAMETER LIST: <key> <value> <description> 0021 % 'W' [] represent the weight vector W 0022 % 'dim' 1 or 2 or 3 ... takes the var along the 0023 % dimension dim 0024 % tsdata fsdata xydata 0025 % 'xdata' 't' 'f' 'x' compute the var of the x-axis 0026 % 'ydata' 'x' 'xx' 'y' compute the var of the y-axis 0027 % 0028 % The following call returns a parameter list object that contains the 0029 % default parameter values: 0030 % 0031 % >> pl = var(ao, 'Params') 0032 % 0033 % HISTORY: 23-05-2007 Diepholz 0034 % Creation 0035 % 0036 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 0037 0038 VERSION = '$Id: var.m,v 1.6 2007/10/24 17:35:28 ingo Exp $'; 0039 ao_out = []; 0040 pl = plist(); 0041 0042 %% Check if this is a call for parameters 0043 if nargin == 2 0044 if isa(varargin{1}, 'ao') && ischar(varargin{2}) 0045 in = char(varargin{2}); 0046 if strcmp(in, 'Params') 0047 ao_out = getDefaultPL(); 0048 return 0049 elseif strcmp(in, 'Version') 0050 ao_out = VERSION; 0051 return 0052 end 0053 end 0054 end 0055 0056 %% store the input ao's in the vector: ao_set 0057 ao_set = []; 0058 for i=1:nargin 0059 a = varargin{i}; 0060 if isa(a, 'ao') 0061 ao_set = [ao_set a]; 0062 elseif isa(varargin{i}, 'plist') 0063 pl = [pl varargin{i}]; 0064 elseif isnumeric(varargin{i}) 0065 pl = [pl plist(param('dim', varargin{i}))]; 0066 end 0067 end 0068 0069 if ~isempty (pl) 0070 pl = combine(pl); 0071 end 0072 0073 %% go through analysis objects 0074 for j=1:numel(ao_set) 0075 a = ao_set(j); 0076 0077 [h, var_data] = single_operation(a.data, 'var', pl); 0078 0079 %% Add the history from the ao object to the history 0080 h = set(h, 'inhists', [a.hist]); 0081 0082 %% Set the var_name to the history 0083 if (j <= nargin) 0084 if (isempty (inputname(j))) 0085 h = set(h, 'invars', cellstr('no var_name')); 0086 else 0087 h = set(h, 'invars', cellstr(inputname(j))); 0088 end 0089 else 0090 h = set(h, 'invars', cellstr('no var_name')); 0091 end 0092 0093 % convert to cdata type 0094 var_x = []; 0095 var_y = []; 0096 0097 do_xdata = find(pl, 'xdata'); 0098 do_ydata = find(pl, 'ydata'); 0099 0100 %% Is no axis entry in the parameter list 0101 %% then set the default axis = xdata 0102 if isempty(do_xdata) && isempty(do_ydata) 0103 do_ydata = 'yes'; 0104 end 0105 0106 %% Get the operation result. It is stored in the individual axis 0107 pl_get_axis = plist([param('xdata', do_xdata) param('ydata', do_ydata)]); 0108 [var_x, var_y] = get_xy_values(var_data, pl_get_axis); 0109 0110 var_cdata = cdata([var_x var_y]); 0111 var_cdata = set (var_cdata, 'name', var_data.name); 0112 var_cdata = set (var_cdata, 'xunits', var_data.xunits); 0113 var_cdata = set (var_cdata, 'yunits', var_data.yunits); 0114 0115 %% create a new analysis objects 0116 new_ao = a; 0117 new_ao = ao (var_cdata, h); 0118 new_ao = set (new_ao, 'name', sprintf('var(%s)',a.name) ); 0119 0120 ao_out = [ao_out new_ao]; 0121 0122 end 0123 0124 % Reshape the ouput to the same size of the input 0125 ao_out = reshape(ao_out, size(ao_set)); 0126 0127 0128 %% Get default params 0129 function pl_default = getDefaultPL() 0130 0131 pl_default = plist([param('dim', '') 0132 param('W', []) 0133 param('xdata', '') 0134 param('ydata', '')]); 0135 0136 % END