Calculates confidence interval for partial eta-squared in a fixed-effects ANOVA

Usage

get.ci.partial.eta.squared(F.value, df1, df2, conf.level = 0.9)

Arguments

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.

Value

List with confidence interval values (LL and UL)

Examples

# 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
#>