deltaF.linear: Function that computes F-test for nested (ANOVA) models

In dalejbarr/forsterUVA: Reproducing UvA Analysis of Jens Forster Studies

Description

Function that computes F-test for nested (ANOVA) models

Usage

deltaF.linear(meanVec, sdVec, n.fl)

Arguments

meanVec	numeric vector containing means for each factor level
sdVec	numeric vector containing standard deviations for each factor level
n.fl	(numeric) integer indicating cell size/nr. of replicates per factor level

Details

• Assumes only summary/descriptive statistics are available (from publication under investigation)

• Assumes ANOVA-type setting with one-way factorial design

• Assumes the ANOVA is balanced (nr. of replicates same for each factor level)

• Assumes the input vectors are ordered according to linearity of effect, e.g., meanVec[1] < meanVec[2] < ... < meanVec[k]

• Compares reduced linear model with more complex model bearing k - 1 regression parameters

• Null hypothesis: perfect linearity in underlying means

• Function based on whistleblower report in JF case

• Unmodified function from UvA report by Peeters, Klaasen, and van de Wiel (2015)

Value

A list with delta F and associated p-value.

References

Peeters, C. F. W., Klaasen, C. A. J., and van de Wiel, M. A. (2015). Evaluating the Scientific Veracity of Publications by dr. Jens Förster. Retrieved from Retraction Watch website.

dalejbarr/forsterUVA documentation built on May 14, 2019, 3:31 p.m.