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
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new
Anova(x: MatrixD)
- x
the data matrix
Value Members
- val dfe: Double
- val dfg: Double
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def
f_crit: Double
Returns the critical value from the Fisher (F) Distribution.
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def
f_stat: Double
Returns the F-statistic.
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def
g_mu: Double
Returns the grand mean.
- val gmu: Double
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def
mse: Double
Returns the mean square, error
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def
msg: Double
Returns the mean square, groups
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def
mu_i: VectorD
Returns the group means.
- val mui: VectorD
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def
sse: Double
Returns the within-groups (error) sum of squares.
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def
ssg: Double
Returns the between-groups sum of squares.
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def
sst: Double
Returns the total sum of squares.