R/etaSquaredCI.R
get.ci.partial.eta.squared.RdCalculates confidence interval for partial eta-squared in a fixed-effects ANOVA
get.ci.partial.eta.squared(F.value, df1, df2, conf.level = 0.9)
| F.value | The F-value for the fixed-effect |
|---|---|
| df1 | Degrees of freedom for the fixed-effect |
| df2 | Degrees of freedom error |
| conf.level | Confidence level (0 to 1). For partial eta-squared a confidence level of .90 is traditionally used rather than .95. |
List with confidence interval values (LL and UL)
# Smithson (2001) p. 619 get.ci.partial.eta.squared(F.value=6.00, df1=1, df2=42, conf.level=.90)#> $LL #> [1] 0.01170242593 #> #> $UL #> [1] 0.2801165555 #>get.ci.partial.eta.squared(F.value=2.65, df1=6, df2=42, conf.level=.90)#> $LL #> [1] 0.01744482692 #> #> $UL #> [1] 0.3577173849 #>get.ci.partial.eta.squared(F.value=2.60, df1=6, df2=42, conf.level=.90)#> $LL #> [1] 0.01473857743 #> #> $UL #> [1] 0.3537136871 #># Fidler & Thompson (2001) Fixed Effects 2x4 p. 594 (Table 6) / p. 596 (Table 8) get.ci.partial.eta.squared(F.value=1.50, df1=1, df2=16, conf.level=.90)#> $LL #> [1] 0 #> #> $UL #> [1] 0.3166901003 #>get.ci.partial.eta.squared(F.value=4.00, df1=3, df2=16, conf.level=.90)#> $LL #> [1] 0.03574040743 #> #> $UL #> [1] 0.5670909457 #>get.ci.partial.eta.squared(F.value=1.50, df1=3, df2=16, conf.level=.90)#> $LL #> [1] 0 #> #> $UL #> [1] 0.3777952038 #>