Mean, standard deviation, kurtosis, and skewness are displayed in an EQS .out file and this function converts these into R for your use. The returned matrix will display the vitals for all relevant variables and can be selected by column.
Transitioning from EQS to R for structural equation modeling (SEM) is made easier with a set of functions to convert .out files into R code. The EQS output can be converted into lavaan syntax and run in the R environment. Other functions parse descriptive statistics and the covariance matrix from an EQS .out file. A heat map plot of a covariance matrix is also included.
● Data Source:
CranContrib
● Keywords: EQS, SEM, cov, lavaan, model, package
● Alias: eqs2lavaan-package
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By using an unedited .out file from EQS, the needed information can be extracted for use in R. The resulting syntax will be converted to lavaan. Because of the various scripting techniques in EQS, not all output will translate perfect to EQS (a warning will be supplied instead of results). To get the most out of your code conversion, be sure to understand how to use lavaan for SEM research.
● Data Source:
CranContrib
● Keywords: CFA, EQS, SEM, analysis, cov, heat, lavaan, model, out
● Alias: eqs2lavaan
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The EQS .out file contains all the necessary information to return a correlation matrix. This function allows you to extract the necessary info and save the correlation matrix for your own use in R.
● Data Source:
CranContrib
● Keywords: CFA, EQS, SEM, cor, cor2cov, cov2cor, lavaan, matrix, model
● Alias: eqsCorr
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