unique_elements: Calculate number of unique elements in a covariance matrix
In cddesja/REPM: Companion package to Handbook of Educational Measurement and Psychometrics Using R.
Description
Usage
Arguments
Examples
Description
This function simply returns the number of unique elements in a covariance matrix. Recall that a correlation matrix is just a standardized covariance matrix.
Usage
1
Arguments
x
A fitted lavaan object
Examples
1
2
3
4
5
6
iq.cfa <- '
verb =~ info + comp + arith + simil + digit + vocab
perf =~ pictcomp + parang + block + object + coding
'
fit <- cfa(iq.cfa, data = wiscsem)
unique_elements(fit)
cddesja/REPM documentation built on May 13, 2019, 2:21 p.m.
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Description Usage Arguments Examples
Description
This function simply returns the number of unique elements in a covariance matrix. Recall that a correlation matrix is just a standardized covariance matrix.
Usage
1 |
Arguments
x |
A fitted lavaan object |
Examples
1 2 3 4 5 6 | iq.cfa <- '
verb =~ info + comp + arith + simil + digit + vocab
perf =~ pictcomp + parang + block + object + coding
'
fit <- cfa(iq.cfa, data = wiscsem)
unique_elements(fit)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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