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# Copyright (c) 2015 Santiago Barreda
# All rights reserved.
anova.rcr = function (object, ...){
if (sum(is.na(object$coefficients)) > 0) return (cat ("Error: Null coefficient values. Check individual coefficients and model fits.\n\n"))
nfactors = length (levels (object$factors))
factors = levels (object$factors)
nparts = length (levels(object$participants))
f.value = NULL; df1 = NULL; df2 = NULL;
for (i in 1:nfactors){
temp = object$coefficients[,object$factors == factors[i]]
if (is.null(ncol(temp))){
f.value = c(f.value, t.test(temp)$statistic^2)
df1 = c(df1, 1)
df2 = c(df2, nparts - 1)
}
else if (!is.null(ncol(temp))){
f.value = c(f.value, hotelling.test (temp)$f.value)
df1 = c(df1, ncol (temp))
df2 = c(df2, nparts - ncol (temp))
}
}
p.value = 1 - pf (f.value, df1, df2)
coefficients = data.frame (df1 = df1, df2 = df2, f.value = f.value, p.value = p.value)
rownames (coefficients) = object$factor.names
output = list (call = object$call, coefficients = coefficients)
class(output) = "anova.rcr"
output
}
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