Test that the names of the variables contained in the dseries objects are different.
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@ -141,6 +141,9 @@ end
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% Set the number of variables
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number_of_variables = size(leadlagtable,1);
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% Initialize a cell array containing the names of the variables.
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variable_names = cell(1);
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% Test that all the involved variables are available dseries objects. Also check that
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% these time series are defined over the time range given by d1 and d2 (taking care of
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% the lags and leads) and check that each object is a singleton
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@ -162,6 +165,15 @@ for i=1:number_of_variables
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msg = sprintf('dseries::from: Object %s must contain only one variable!\n',current_variable);
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error(msg)
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end
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if i>1
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if ismember(var.name,variable_names)
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error('dseries::from: All the dseries objects should contain variables with different names!')
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else
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variable_names(i) = {var.name{1}};
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end
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else
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variable_names(i) = {var.name{1}};
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end
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if d1<var.dates(1)+leadlagtable{i,2}
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msg = sprintf('dseries::from: Initial date of the loop (%s) is inconsistent with %s''s range!\n',char(d1),current_variable);
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msg = [msg, sprintf(' Initial date should be greater than or equal to %s.',char(var.dates(1)+leadlagtable{i,2}))];
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@ -221,11 +233,7 @@ list_of_variables = leadlagtable{1,1};
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for i=2:number_of_variables
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list_of_variables = [list_of_variables, ',' leadlagtable{i,1}];
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end
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try
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eval(sprintf('tmp = [%s];', list_of_variables));
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catch
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error('dseries::from: All the dseries objects should contain variables with different names!')
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end
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eval(sprintf('tmp = [%s];', list_of_variables));
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% Get base time index
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t1 = find(d1==tmp.dates);
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