unidim: Unidimensionality of blocks
In gastonstat/plspm2: Tools for Partial Least Squares Path Modeling

Description Usage Arguments Value Author(s) See Also Examples

Compute unidimensionality indices (a.k.a. Composite Reliability indices)

1	unidim(Data, blocks = NULL)

`Data`	matrix or data frame with variables
`blocks`	optional list with vectors indicating the variables in each block

A data frame with the following columns:

`Block`	name of block
`MVs`	number of manifest variables in each block
`C.alpha`	Cronbach's alpha
`DG.rho`	Dillon-Goldstein rho
`eig.1st`	First eigenvalue
`eig.2nd`	Second eigenvalue

Gaston Sanchez

alpha, rho

## Not run: 
 # load dataset satisfaction
 data(satisfaction)

 # blocks Image and Expectations
 ima_expe = list(Image=1:5, Expec=6:10)

 # compute unidimensionality indices
 unidim(satisfaction, ima_expe)
 
## End(Not run)