coefa_summary {coefa}

Summary

Description

The function coefa_summary provides a preliminary preparation and suggestion for the later factor analysis using the aggregated co-occurrence matrix. And the results, the scree plot and Kaiser's criterion will be plotted by this function.

Usage

coefa_summary(object,fa,omitWarning=FALSE)

Arguments

object

A matrix of aggregated co-occurrence matrix.

fa

The method of extract factor for aggregated co-occurrence matrix. Principal components (fa="pc"),principal axis factor analysis (fa="fa),or both of them could be choose.

omitWarning

The default is not to omit warning.If omitWarning is default, suggestions(Scree plot and Kaiser's criterion, parallel analysis) for subsequent factor analysis will not be provided when the matrix is not positive definite.If omitWarning=TRUE,warning will be skipped and suggestions will be forced.

Details

It should be noted that we should be alert to the positive definiteness of the aggregated matrix. If the matrix is non-positive definite, we should choose the factor extraction method carefully or we should take other solutions (remove questions appropriately, or smooth the matrix).

Value

A list containing the matrix cases produced by each process of coefa.

References

Cao,Y., & Zhang, Y. (2017). Multivariate statistic methods in psychology and education. Beijing: Peking university press.158.

Examples

#summary
coefa_summary(matrices_acm,fa="fa")