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-Alpha apply. And because you have the
factor loading you have the reliability of the factor. You don't need
C-Alpha.
Johannes Moser <joh...@web.de>
Sent by: r-help-boun...@r-project.org
02/14/2014 05:24 PM
To
r-help@r-project.org,
cc
Subject
[R] psych package - Cronbach`s Alpha - warning message
Dear R-help,
I try to estimate alpha for a factor that loads onto two items, using
the psych-package (newest version).
The data is from the boston housing data set.
The problem I face can be reproduced by the following approximation of
the correlation matrix:
library("psych")
tt <- cbind(c(1,0.58) , c(0.58,1))
colnames(tt) = rownames(tt) = list("V1" , "V2")
alpha(tt)
R Version 3.0.2 (2013-09-25) 64 Bit - Platform: Windows 7
Professional, 64 bit
I have tried on two different Windows computers - same warning messages:
In matrix(unlist(drop.item), ncol = 6, byrow = TRUE) : data length [10]
is not a sub-multiple or multiple of the number of columns [6]
What is the reason for the warning?
Is it to be taken seriously?
How can I avoid this warning?
I would be very thankful for any ideas or advice!
Thank you a lot in advance!!!
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and provide commented, minimal, self-contained, reproducible code.
