TetradAnalysisNoRandom: Confirmatory Tetrad Analysis Function

In Hangcheng1989/TetradAnalysis: Functions for Confirmatory Tetrad Analysis

Description

"TetradAnalysisNoRandom" is used to run Confirmatory Tetrad Analysis(Bollen, 1993).

Usage

TetradAnalysisNoRandom(Samplecov, FactorModel, Size)

Arguments

"Data"	An optional data frame containing the observed variables used in the model.
"FactorModel"	A description of the user-specified model. The model is described using the lavaan model synta(Rosseel, 2012).
"Size"	Size of the data sample.

Value

"T", Test statistic for multivariate test in Confirmatory Tetrad Analysis.

"MultiPvalue", P-value for multivariate test in Confirmatory Tetrad Analysis.

"NRVT", Nonredundant vanishing tetrad setting implied by the inputted model.

"NRVT_Num", Nonredundant vanishing tetrad number.

"EmpiricalTetrads", Model implied vanishing tetrads from empirical method(Bollen, 1993).

"Modelcov", Model implied variance-covariance matrix.

References

Bollen, K. A., & Ting, K. F. (1993). Confirmatory tetrad analysis. Sociological methodology, 147-175.

Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36.

Examples

## Input sample variance-covariance matrix "(Sampledata) ".
data<-c(2.18, 0.63, 0.50, 0.22, 0.39, 0.42, 0.63, 1.44, 0.50, 0.12, 0.11, 0.15, 0.50, 0.50, 1.71, 0.87, 0.59, 0.48, 0.22, 0.12, 0.87, 1.46, 0.54, 0.42, 
0.39, 0.11, 0.59, 0.54, 1.12, 0.23, 0.42, 0.15, 0.48, 0.42, 0.23, 1.42)
Sampledata <- matrix(data, nrow = 6, ncol = 6, byrow = TRUE)
colnames(Sampledata) <- c('x1','x2','x3','x4','x5','x6')

## Sample size
Size<-100

## Input model
FactorModel<-'
Y1 =~ x1 + x2 + x3
Y2 =~ x4 + x5 + x6
Y2 ~ Y1
x3 ~ x4
'

## Use "TetradAnalysisNoRandom" to run Confirmatory Tetrad Analysis
Find1B<-TetradAnalysisNoRandom(Sampledata,FactorModel,Size)
Find1B

Hangcheng1989/TetradAnalysis documentation built on May 15, 2019, 1:57 a.m.