% Calculate scores of the sample % % Description: % % This function calculates normal, t, chi-squared, IQR and MAD % scores of given data. % % Usage: % % [res]=scores(x,type,prob,lim) % % Arguments: % % x: a vector or matrix of data. Matrices are treated columnwise % (each column as independent dataset). % % type: '0' calculates normal scores (differences between each value % and the mean divided by sd, DEFAULT), '1' calculates t-Student scores % (transformed by '(z*sqrt(n-2))/sqrt(z-1-t^2)' formula, % '2' gives chi-squared scores (squares of differences % between values and mean divided by variance. For the '3' % type, all values lower than first and greater than third % quartile is considered, and difference between them and % nearest quartile divided by IQR are calculated. For the % values between these quartiles, scores are always equal to % zero. '4' gives MAD scores - differences between each value and median, % divided by median absolute deviation. % % prob: If set (default is NA), the corresponding p-values instead of scores are % given. If value is set to 1, p-values are returned. Otherwise, % a logical vector is formed, indicating which values are % exceeding specified probability. In 'z' and 'mad' types, % there is also possibility to set this value to zero, and then % scores are confirmed to (n-1)/sqrt(n) value, according to % Shiffler (1998). The '3' (IQR) type does not support % probabilities, but 'lim' value can be specified. % % lim: This value can be set for '3' (IQR) type of scores, to form % logical vector, which values has this limit exceeded. % % Value: % % A vector of scores, probabilities, or logical vector. % % Author(s): % % Lukasz Komsta, ported from R package 'outliers'. % See R News, 6(2):10-13, May 2006 % % References: % % Schiffler, R.E (1998). Maximum Z scores and outliers. Am. Stat. % 42, 1, 79-80. %

- scores % Calculate scores of the sample

- scores % Calculate scores of the sample

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