# NOT RUN {
# -------------------------------
# random sample
# -------------------------------
# prepare data for 4-category likert scale, 5 items
likert_4 <- data.frame(
as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.2, 0.3, 0.1, 0.4))),
as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.5, 0.25, 0.15, 0.1))),
as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.25, 0.1, 0.4, 0.25))),
as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.1, 0.4, 0.4, 0.1))),
as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.35, 0.25, 0.15, 0.25)))
)
# create labels
levels_4 <- c("Independent", "Slightly dependent",
"Dependent", "Severely dependent")
# create item labels
items <- c("Q1", "Q2", "Q3", "Q4", "Q5")
# plot stacked frequencies of 5 (ordered) item-scales
# }
# NOT RUN {
if (interactive()) {
tab_stackfrq(likert_4, value.labels = levels_4, var.labels = items)
# -------------------------------
# Data from the EUROFAMCARE sample dataset
# Auto-detection of labels
# -------------------------------
data(efc)
# recveive first item of COPE-index scale
start <- which(colnames(efc) == "c82cop1")
# recveive first item of COPE-index scale
end <- which(colnames(efc) == "c90cop9")
tab_stackfrq(efc[, c(start:end)], alternate.rows = TRUE)
tab_stackfrq(efc[, c(start:end)], alternate.rows = TRUE,
show.n = TRUE, show.na = TRUE)
# --------------------------------
# User defined style sheet
# --------------------------------
tab_stackfrq(efc[, c(start:end)], alternate.rows = TRUE,
show.total = TRUE, show.skew = TRUE, show.kurtosis = TRUE,
CSS = list(css.ncol = "border-left:1px dotted black;",
css.summary = "font-style:italic;"))
}
# }
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