I too don't understand the error message. However Coefficient Alpha is
easily calculated. To wit:
library("psych")
tt <- cbind(c(1,0.58) , c(0.58,1))
colnames(tt) = rownames(tt) = list("V1" , "V2")
p <- nrow(tt)
alpha <- p/(p-1) * (1-sum(diag(tt))/sum(tt))
Numerous caveats regarding using C-A
Many of the statistics reported don't make sense with only two
items--for example the alpha if an item is dropped makes no sense
because dropping an item leaves only one remaining.
Best,
Ista
On Fri, Feb 14, 2014 at 5:24 PM, Johannes Moser wrote:
> Dear R-help,
>
> I try to estimate alpha for a
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