Test if the data are positive before applying the log.
parent
8829baa3aa
commit
f1e4ca2f48
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@ -21,11 +21,11 @@ function dataset_ = initialize_dataset(datafile,varobs,first,nobs,transformation
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% Original author: stephane DOT adjemian AT univ DASH lemans DOT fr
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if isempty(datafile)
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error('Estimation:: You have to declare a dataset file!')
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error('Estimation::initialize_dataset: You have to declare a dataset file!')
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end
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if isempty(varobs)
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error('Estimation:: You have to declare a set of observed variables')
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error('Estimation::initialize_dataset: You have to declare a set of observed variables')
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end
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% Get raw data.
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@ -36,7 +36,7 @@ if isempty(nobs) || rows(rawdata)<nobs+first-1 %case 2: dataset has changed
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nobs = rows(rawdata)-first+1;
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end
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% Get the (default) prefilter option.
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% Set the (default) prefilter option.
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if isempty(prefilter)
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prefilter = 0;
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end
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@ -65,12 +65,17 @@ rawdata = rawdata(first:(first+dataset_.info.ntobs-1),:);
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if isempty(transformation)
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dataset_.rawdata = rawdata;
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else
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if isequal(transformation,@log)
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if ~isreal(rawdata)
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error(['Estimation::initialize_dataset: Some of the variables have non positive observations, I cannot take the log of the data!'])
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end
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end
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dataset_.rawdata = arrayfun(transformation,rawdata);
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end
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% Test if the observations are real numbers.
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if ~isreal(dataset_.rawdata)
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error('Estimation:: There are complex values in the data! Probably a wrong (log) transformation...')
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error('Estimation::initialize_dataset: There are complex values in the data!')
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end
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% Test for missing observations.
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@ -96,4 +101,4 @@ if prefilter == 1
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dataset_.data = transpose(bsxfun(@minus,dataset_.rawdata,dataset_.descriptive.mean));
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else
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dataset_.data = transpose(dataset_.rawdata);
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end
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end
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