fitanova: Run ANOVA analysis

In dalejbarr/simgen: Monte Carlo Simulations of Simultaneous Generalization

Description

Given a dataset xd, calculates F1, F2, F'min, and F1+F2, and associated p-values (one-factor design only).

Usage

fitanova(mcr.data, wsbi)

Arguments

mcr.data	A dataframe formatted as described in mkDf.
wsbi	Whether the design is between-items (TRUE) or within-items (FALSE).

Value

A vector, with:

F1	the by-subjects F value
F2	the by-items F value
minF	the min F' value
p1	the p-value associated with F1
p2	the p-value associated with F2
pmf	the p-value associated with min F'
pmax	the p-value associated with F1+F2 ( =max(c(p1,p2)) )

See Also

mkDf

Examples

nmc <- 10
pmx <- cbind(randParams(genParamRanges(), nmc, 1001), seed=mkSeeds(nmc, 1001))

# between-items dataset
x.bi <- mkDf(nsubj=24, nitem=24, mcr.params=pmx[1,], wsbi=TRUE)

# within-items dataset
x.wi <- mkDf(nsubj=24, nitem=24, mcr.params=pmx[1,], wsbi=FALSE)

fitanova(x.bi, wsbi=TRUE)
fitanova(x.wi, wsbi=FALSE)

dalejbarr/simgen documentation built on May 14, 2019, 3:32 p.m.