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## ----echo = FALSE-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
if (!requireNamespace("dplyr", quietly = TRUE) ||
!requireNamespace("sjmisc", quietly = TRUE) ||
!requireNamespace("parameters", quietly = TRUE) ||
!requireNamespace("psych", quietly = TRUE)) {
knitr::opts_chunk$set(eval = FALSE)
} else {
knitr::opts_chunk$set(eval = TRUE)
}
## ----echo=FALSE, message=FALSE, warning=FALSE---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
library(sjPlot)
library(sjmisc)
library(dplyr)
data(efc)
# create data frame with COPE-index scale
mydf <- dplyr::select(efc, contains("cop"))
## -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tab_itemscale(mydf)
## -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
library(parameters)
# Compute PCA on Cope-Index, and retrieve
# factor indices for each COPE index variable
pca <- parameters::principal_components(mydf)
factor.groups <- parameters::closest_component(pca)
## -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tab_itemscale(mydf, factor.groups)
## -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tab_itemscale(mydf, factor.groups, show.shapiro = TRUE, show.kurtosis = TRUE)
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