cfa_two_factors: Dataset (CFA, Two Factors, Six Variables)
In semlbci: Likelihood-Based Confidence Interval in Structural Equation Models
cfa_two_factors R Documentation
Dataset (CFA, Two Factors, Six Variables)
Description
Generated from a two-factor model with six variables, n = 500
Usage
cfa_two_factors
Format
A data frame with 500 rows and six variables, x1 to x6.
Details
This model is used for examples like this one:
library(lavaan)
mod <- "f1 =~ x1 + x2 + x3
f2 =~ x4 + x5 + x6"
fit <- cfa(mod, cfa_two_factors)
summary(fit)
Examples
print(head(cfa_two_factors), digits = 3)
nrow(cfa_two_factors)
semlbci documentation built on June 22, 2024, 10:55 a.m.
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| cfa_two_factors | R Documentation |
Dataset (CFA, Two Factors, Six Variables)
Description
Generated from a two-factor model with six variables, n = 500
Usage
cfa_two_factors
Format
A data frame with 500 rows and six variables, x1 to x6.
Details
This model is used for examples like this one:
library(lavaan)
mod <- "f1 =~ x1 + x2 + x3
f2 =~ x4 + x5 + x6"
fit <- cfa(mod, cfa_two_factors)
summary(fit)
Examples
print(head(cfa_two_factors), digits = 3)
nrow(cfa_two_factors)
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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