R: Calculates confidence interval for partial eta-squared in a...

get.ci.partial.eta.squared {apaTables} | R Documentation

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

### Description

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)
    get.ci.partial.eta.squared(F.value=2.65, df1=6, df2=42, conf.level=.90)
    get.ci.partial.eta.squared(F.value=2.60, df1=6, df2=42, conf.level=.90)

    # 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)
    get.ci.partial.eta.squared(F.value=4.00, df1=3, df2=16, conf.level=.90)
    get.ci.partial.eta.squared(F.value=1.50, df1=3, df2=16, conf.level=.90)

[Package apaTables version 2.0.2 Index]