class Anova extends AnyRef

The Anova class provides the functions necessary for performing a one-way ANalysis Of VAriance (ANOVA) on the input data matrix x. The data matrix: row i - i-th group/treatment column j - j-th replica

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Instance Constructors

  1. new Anova(x: MatrixD)

    x

    the data matrix

Value Members

  1. val dfe: Double
  2. val dfg: Double
  3. def f_crit: Double

    Returns the critical value from the Fisher (F) Distribution.

  4. def f_stat: Double

    Returns the F-statistic.

  5. def g_mu: Double

    Returns the grand mean.

  6. val gmu: Double
  7. def mse: Double

    Returns the mean square, error

  8. def msg: Double

    Returns the mean square, groups

  9. def mu_i: VectorD

    Returns the group means.

  10. val mui: VectorD
  11. def sse: Double

    Returns the within-groups (error) sum of squares.

  12. def ssg: Double

    Returns the between-groups sum of squares.

  13. def sst: Double

    Returns the total sum of squares.