add missing Fei

R/xtab.R

@@ -1,8 +1,9 @@
 #' Effect size for contingency tables
 #'
-#' Compute Cramer's *V*, phi (\eqn{\phi}), Cohen's *w*, Fei (\eqn{XXX}), Pearson's
-#' contingency coefficient, Odds ratios, Risk ratios, Cohen's *h* and Cohen's
-#' *g* for contingency tables or goodness-of-fit. See details.
+#' Compute Cramer's *V*, phi (\eqn{\phi}), Cohen's *w*,
+#' \ifelse{latex}{\eqn{Fei}}{פ (Fei)}, Pearson's contingency coefficient, Odds
+#' ratios, Risk ratios, Cohen's *h* and Cohen's *g* for contingency tables or
+#' goodness-of-fit. See details.
 #'
 #' @inheritParams stats::chisq.test
 #' @param ci Confidence Interval (CI) level
@@ -29,11 +30,11 @@
 #' can also be used, but since it is not bounded at 1 (can be larger) its
 #' interpretation is more difficult.
 #' \cr \cr
-#' For goodness-of-fit in 1D tables Cohen's *W*, Fei (\eqn{XXX}) or Pearson's *C*
-#' can be used. Cohen's *w* has no upper bound (can be arbitrarily large,
-#' depending on the expected distribution). Fei is an adjusted Cohen's *w*,
-#' accounting for the expected distribution, making it bounded between 0-1.
-#' Pearson's *C* is also bounded between 0-1.
+#' For goodness-of-fit in 1D tables Cohen's *W*, \ifelse{latex}{\eqn{Fei}}{פ (Fei)}
+#' or Pearson's *C* can be used. Cohen's *w* has no upper bound (can be
+#' arbitrarily large, depending on the expected distribution). *Fei* is an
+#' adjusted Cohen's *w*, accounting for the expected distribution, making it
+#' bounded between 0-1. Pearson's *C* is also bounded between 0-1.
 #' \cr \cr
 #' To summarize, for correlation-like effect sizes, we recommend:
 #'