View source: R/nice_agreement_analysis.R
nice_agreement_table | R Documentation |
This function performs an agreement analysis including intra-class correlation coefficients, group-related variance, and related diagnostics for items with a nominal or ordinal scale. The function outputs a data.frame or a HTML table giving the results.
nice_agreement_table(
data,
vars = names(data),
grouping,
rv,
crit = 0.7,
min_group_size = NULL,
auto_labels = TRUE,
labels = NULL,
n_sim = 10000
)
data |
A data-frame |
vars |
Vector of character strings with names of variables to be analyzed. |
grouping |
Grouping variable. Either as a character string or a vector. |
rv |
Number of response options for calculating random variance. |
crit |
Critical agreement level. |
min_group_size |
Minimal group size. Smaller groups are excluded. |
auto_labels |
If TRUE, variable names are taken from a label attribute. |
labels |
Character vector with new variable labels. |
n_sim |
Number of simulations for the agreement analyses. |
A Data-frame
vars <- c("Norm_Pop_academic", "Norm_Pop_conform", "Norm_Pop_sporty",
"Norm_Pop_cool_clothes", "Norm_Pop_helpful", "Norm_Unpop_academic",
"Norm_Unpop_nonconform", "Norm_Unpop_sporty", "Norm_Unpop_cool_clothes",
"Norm_Unpop_language", "Norm_LM_academic", "Norm_LM_conform",
"Norm_LM_sporty", "Norm_LM_cool_clothes", "Norm_LM_helpful",
"Norm_LL_academic", "Norm_LL_nonconform", "Norm_LL_sporty", "Norm_LL_cool_clothes",
"Norm_LL_language")
nice_agreement_table(
data = wmisc:::ex_agreement,
vars = vars,
grouping = "id_class_teacher",
rv = 4,
crit = 0.6,
n_sim = 100)
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