pa_lubbe() calculates a parallel analysis using a response data frame

pa_lubbe() calculates a parallel analysis using a response data frame

Usage

pa_lubbe(data, scale_num, scale_info, n_sim)

Arguments

data

a data frame, where rows = observations, and columns = variables

scale_num

a number, that identifies a unique set of items within the scale_info table

scale_info

a data frame where items memmbership to scale is uniquely identify

n_sim

specify the number of simulated correlations, n_sim = 1000 is recommended

Value

a data frame generated depicting observed and simulated eigenvalues, and number of factors

Examples

pa_lubbe(
data = scale_data,
scale_num = 1,
scale_info = items_data,
n_sim = 1000
) %>%
knitr::kabel(., digits = 2)
#> Error in pa_lubbe(data = scale_data, scale_num = 1, scale_info = items_data,     n_sim = 1000) %>% knitr::kabel(., digits = 2): could not find function "%>%"