From f42ca1ffdecbc3805e25405fc0b2719fd76568ee Mon Sep 17 00:00:00 2001
From: Hannah Frick <hannah@posit.co>
Date: Thu, 12 Sep 2024 13:55:49 +0100
Subject: [PATCH] Fix required name

---
 R/bootci.R      | 6 +++---
 man/int_pctl.Rd | 6 +++---
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/R/bootci.R b/R/bootci.R
index 0d13eec8..aa72f318 100644
--- a/R/bootci.R
+++ b/R/bootci.R
@@ -180,7 +180,7 @@ pctl_single <- function(stats, alpha = 0.05) {
 #'  `term` and `estimate`). Optionally, users can include columns whose names
 #'  begin with a period and the intervals will be created for each combination
 #'  of these variables and the `term` column. For t-intervals, a standard tidy
-#'  column (usually called `std.err`) is required. See the examples below.
+#'  column (usually called `std.error`) is required. See the examples below.
 #' @param alpha Level of significance.
 #' @param .fn A function to calculate statistic of interest. The
 #'  function should take an `rsplit` as the first argument and the `...` are
@@ -238,8 +238,8 @@ pctl_single <- function(stats, alpha = 0.05) {
 #'   tibble(
 #'     term = "corr",
 #'     estimate = cor(dat$sqft, dat$price, method = "spearman"),
-#'     # don't know the analytical std.err so no t-intervals
-#'     std.err = NA_real_
+#'     # don't know the analytical std.error so no t-intervals
+#'     std.error = NA_real_
 #'   )
 #' }
 #'
diff --git a/man/int_pctl.Rd b/man/int_pctl.Rd
index 7200a6b0..e15434c4 100644
--- a/man/int_pctl.Rd
+++ b/man/int_pctl.Rd
@@ -36,7 +36,7 @@ estimates. This must be a list column of tidy tibbles (with columns
 \code{term} and \code{estimate}). Optionally, users can include columns whose names
 begin with a period and the intervals will be created for each combination
 of these variables and the \code{term} column. For t-intervals, a standard tidy
-column (usually called \code{std.err}) is required. See the examples below.}
+column (usually called \code{std.error}) is required. See the examples below.}
 
 \item{alpha}{Level of significance.}
 
@@ -98,8 +98,8 @@ rank_corr <- function(split) {
   tibble(
     term = "corr",
     estimate = cor(dat$sqft, dat$price, method = "spearman"),
-    # don't know the analytical std.err so no t-intervals
-    std.err = NA_real_
+    # don't know the analytical std.error so no t-intervals
+    std.error = NA_real_
   )
 }