Package flanagan.math

Examples of flanagan.math.Matrix

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        this.errorType = 1;
        this.preprocessDataOne();
    }

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

    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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        this.errorType = 1;
        this.preprocessDataOne();
    }

    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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        this.preprocessDataOne();
    }

    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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        this.preprocessDataOne();
    }

    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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        this.preprocessDataOne();
    }

    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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        this.errorType = 2;
        this.preprocessDataTwo(commonError);
    }

    public RankAnalysis(float[][] values, float commonError){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        this.errorType = 2;
        this.preprocessDataTwo((double)commonError);
    }
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        this.errorType = 2;
        this.preprocessDataTwo((double)commonError);
    }

    public RankAnalysis(long[][] values, long commonError){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        this.errorType = 2;
        this.preprocessDataTwo((double)commonError);
    }
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        this.errorType = 2;
        this.preprocessDataTwo((double)commonError);
    }

    public RankAnalysis(int[][] values, int commonError){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        this.errorType = 2;
        this.preprocessDataTwo((double)commonError);
    }
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        this.errorType = 2;
        this.preprocessDataTwo((double)commonError);
    }

    public RankAnalysis(BigDecimal[][] values, BigDecimal commonError){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        this.errorType = 2;
        this.preprocessDataTwo(commonError.doubleValue());
    }
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Related Classes of flanagan.math.Matrix

  • flanagan.analysis.RankAnalysis
  • flanagan.analysis.Regression
  • flanagan.analysis.Stat
  • flanagan.interpolation.TriCubicInterpolation
  • flanagan.math.ArrayMaths
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