Package flanagan.math

Examples of flanagan.math.ArrayMaths


    }

    public RankAnalysis(ArrayList<Object>[] values, ArrayList<Object> errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
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    }

    public RankAnalysis(Vector<Object>[] values, Vector<Object> errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
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    public RankAnalysis(Scores values){
        this.values = values.usedScoresAsRowPerItem();
        Matrix mat = new Matrix(this.values);
        double[] errors = mat.rowStandardDeviations();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
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    public RankAnalysis(Cronbach values){
        this.values = values.usedScoresAsRowPerItem();
        Matrix mat = new Matrix(this.values);
        double[] errors = mat.rowStandardDeviations();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
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    public RankAnalysis(PCA values){
        this.values = values.usedScoresAsRowPerItem();
        Matrix mat = new Matrix(this.values);
        double[] errors = mat.rowStandardDeviations();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
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