#' @rdname crosstable_statistics
#' @export
phi <- function(tab, ...) {
UseMethod("phi")
}
#' @export
phi.table <- function(tab, ...) {
.phi(tab)
}
#' @export
phi.ftable <- function(tab, ...) {
.phi(tab)
}
#' @export
phi.formula <- function(formula, data, ci.lvl = NULL, n = 1000, method = c("dist", "quantile"), ...) {
formula_terms <- all.vars(formula)
tab <- table(data[[formula_terms[1]]], data[[formula_terms[2]]])
method <- match.arg(method)
if (is.null(ci.lvl) || is.na(ci.lvl)) {
.cramers_v(tab)
} else {
straps <- sjstats::bootstrap(data[formula_terms], n)
tables <- lapply(straps$strap, function(x) {
dat <- as.data.frame(x)
table(dat[[1]], dat[[2]])
})
phis <- sapply(tables, .phi)
ci <- boot_ci(phis, ci.lvl = ci.lvl, method = method)
data_frame(
phi = .phi(tab),
conf.low = ci$conf.low,
conf.high = ci$conf.high
)
}
}
.phi <- function(tab) {
insight::check_if_installed("MASS")
# convert to flat table
if (!inherits(tab, "ftable")) tab <- stats::ftable(tab)
tb <- summary(MASS::loglm(~1 + 2, tab))$tests
sqrt(tb[2, 1] / sum(tab))
}
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