kstats-hypothesis/org.oremif.kstats.hypothesis/AnovaResult

AnovaResult

data class AnovaResult(val fStatistic: Double, val pValue: Double, val dfBetween: Int, val dfWithin: Int, val ssBetween: Double, val ssWithin: Double, val msBetween: Double, val msWithin: Double)(source)

The result of a one-way ANOVA test.

Contains the F-statistic, p-value, and the full ANOVA decomposition into between-group and within-group components.

Example:

val result = oneWayAnova(group1, group2, group3)
result.fStatistic // ratio of between-group to within-group variance
result.pValue     // p-value from F-distribution
result.dfBetween  // number of groups minus one
result.dfWithin   // total observations minus number of groups

Constructors

AnovaResult

constructor(fStatistic: Double, pValue: Double, dfBetween: Int, dfWithin: Int, ssBetween: Double, ssWithin: Double, msBetween: Double, msWithin: Double)

Properties

dfBetween

val dfBetween: Int

the between-group degrees of freedom, equal to the number of groups minus one.

dfWithin

val dfWithin: Int

the within-group degrees of freedom, equal to the total number of observations minus the number of groups.

fStatistic

val fStatistic: Double

the F-statistic, computed as the ratio of between-group variance to within-group variance. Larger values indicate greater differences between groups.

msBetween

val msBetween: Double

the mean square between groups (ssBetween / dfBetween).

msWithin

val msWithin: Double

the mean square within groups (ssWithin / dfWithin).

pValue

val pValue: Double

the probability of observing an F-statistic at least as extreme as the computed value, assuming all group means are equal. Smaller values indicate stronger evidence that at least one group mean differs.

ssBetween

val ssBetween: Double

the sum of squares between groups, measuring the variation due to differences between group means.

ssWithin

val ssWithin: Double

the sum of squares within groups, measuring the variation within each group.