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] }, { "page": "matrices_acm", "title": "The aggregated co-occurrence matrix", "topics": [ "matrices_acm" ] }, { "page": "spence8", "title": "The factor loading matrices of 8 exploratory factor analysis for spence children anxiety scale(SCAS).", "topics": [ "spence8" ] } ], "_readme": "https://github.com/cran/coefa/raw/HEAD/README.md", "_rundeps": [ "cli", "glue", "GPArotation", "lattice", "lifecycle", "magrittr", "mnormt", "nlme", "openxlsx", "psych", "purrr", "Rcpp", "rlang", "stringi", "vctrs", "zip" ], "_vignettes": [ { "source": "Introduction.Rmd", "filename": "Introduction.html", "title": "coefa: A R Package for Meta Analysis of Factor Analysis Based on Co-occurrence Matrices", "author": "Xijian Zheng & Huiyong Fan", "engine": "knitr::rmarkdown", "headings": [ "1 Introduction", "2 The coefa R package", "2.1 Five steps of COEFA in coefa package", "Step1: Obtain factor loading matrices for the EFA in the original study", "Step2: Assign (Trim) the original factor loading matrices. Significant loading in factor loading matrices (loading greater than cutoff ) are assigned a value of 1, and the others are assigned a value of 0.", "Step3: Generate co-occurrence matrices using each factor loading matrix multiply its transport.", "Step4: Aggregate co-occurrence matrix. 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