transition "occured" -> "occurred" (#465)

R/class-precision.R

@@ -189,7 +189,7 @@ warn_precision_undefined_binary <- function(event, count) {
     paste(
       "Note that",
       count,
-      "true event(s) actually occured for the problematic event level,",
+      "true event(s) actually occurred for the problematic event level,",
       event
     )
   )
@@ -208,7 +208,7 @@ warn_precision_undefined_multiclass <- function(events, counts) {
     events (i.e. `true_positive + false_positive = 0`).",
     "Precision is undefined in this case, and those levels will be removed \\
     from the averaged result.",
-    "Note that the following number of true events actually occured for each \\
+    "Note that the following number of true events actually occurred for each \\
     problematic event level:",
     paste0("'", events, "': ", counts, collapse = ", ")
   )

R/class-recall.R

@@ -190,7 +190,7 @@ warn_recall_undefined_binary <- function(event, count) {
     paste(
       "Note that",
       count,
-      "predicted event(s) actually occured for the problematic event level",
+      "predicted event(s) actually occurred for the problematic event level",
       event
     )
   )
@@ -209,7 +209,7 @@ warn_recall_undefined_multiclass <- function(events, counts) {
     (i.e. `true_positive + false_negative = 0`).",
     "Recall is undefined in this case, and those levels will be removed from \\
     the averaged result.",
-    "Note that the following number of predicted events actually occured for \\
+    "Note that the following number of predicted events actually occurred for \\
     each problematic event level:",
     paste0("'", events, "': ", counts, collapse = ", ")
   )

R/class-sens.R

@@ -288,7 +288,7 @@ warn_sens_undefined_binary <- function(event, count) {
     paste(
       "Note that",
       count,
-      "predicted event(s) actually occured for the problematic event level,",
+      "predicted event(s) actually occurred for the problematic event level,",
       event
     )
   )
@@ -307,7 +307,7 @@ warn_sens_undefined_multiclass <- function(events, counts) {
     (i.e. `true_positive + false_negative = 0`).",
     "Sensitivity is undefined in this case, and those levels will be removed \\
     from the averaged result.",
-    "Note that the following number of predicted events actually occured for \\
+    "Note that the following number of predicted events actually occurred for \\
     each problematic event level:",
     paste0("'", events, "': ", counts, collapse = ", ")
   )

R/class-spec.R

@@ -258,7 +258,7 @@ warn_spec_undefined_binary <- function(event, count) {
     paste(
       "Note that",
       count,
-      "predicted negatives(s) actually occured for the problematic event level,",
+      "predicted negatives(s) actually occurred for the problematic event level,",
       event
     )
   )
@@ -277,7 +277,7 @@ warn_spec_undefined_multiclass <- function(events, counts) {
     (i.e. `true_negative + false_positive = 0`).",
     "Specificity is undefined in this case, and those levels will be removed \\
     from the averaged result.",
-    "Note that the following number of predicted negatives actually occured \\
+    "Note that the following number of predicted negatives actually occurred \\
     for each problematic event level:",
     paste0("'", events, "': ", counts, collapse = ", ")
   )

tests/testthat/_snaps/class-f_meas.md

@@ -6,14 +6,14 @@
       Warning:
       While computing binary `precision()`, no predicted events were detected (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and `NA` will be returned.
-      Note that 2 true event(s) actually occured for the problematic event level, a
+      Note that 2 true event(s) actually occurred for the problematic event level, a
     Code
       expect <- f_meas_vec(truth, estimate)
     Condition
       Warning:
       While computing binary `precision()`, no predicted events were detected (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and `NA` will be returned.
-      Note that 2 true event(s) actually occured for the problematic event level, a
+      Note that 2 true event(s) actually occurred for the problematic event level, a
 
 # `NA` values propagate from binary `recall()`
 
@@ -23,14 +23,14 @@
       Warning:
       While computing binary `recall()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Recall is undefined in this case, and `NA` will be returned.
-      Note that 2 predicted event(s) actually occured for the problematic event level a
+      Note that 2 predicted event(s) actually occurred for the problematic event level a
     Code
       expect <- f_meas_vec(truth, estimate)
     Condition
       Warning:
       While computing binary `recall()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Recall is undefined in this case, and `NA` will be returned.
-      Note that 2 predicted event(s) actually occured for the problematic event level a
+      Note that 2 predicted event(s) actually occurred for the problematic event level a
 
 # Binary `f_meas()` returns `NA` with a warning when recall is undefined (tp + fn = 0) (#98)
 
@@ -40,7 +40,7 @@
       Warning:
       While computing binary `recall()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Recall is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted event(s) actually occured for the problematic event level a
+      Note that 1 predicted event(s) actually occurred for the problematic event level a
 
 # Binary `f_meas()` returns `NA` with a warning when precision is undefined (tp + fp = 0) (#98)
 
@@ -50,7 +50,7 @@
       Warning:
       While computing binary `precision()`, no predicted events were detected (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and `NA` will be returned.
-      Note that 1 true event(s) actually occured for the problematic event level, a
+      Note that 1 true event(s) actually occurred for the problematic event level, a
 
 # Multiclass `f_meas()` returns averaged value with `NA`s removed + a warning when recall is undefined (tp + fn = 0) (#98)
 
@@ -60,7 +60,7 @@
       Warning:
       While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
       Recall is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted events actually occured for each problematic event level:
+      Note that the following number of predicted events actually occurred for each problematic event level:
       'c': 1
 
 # Multiclass `f_meas()` returns averaged value with `NA`s removed + a warning when precision is undefined (tp + fn = 0) (#98)
@@ -71,7 +71,7 @@
       Warning:
       While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of true events actually occured for each problematic event level:
+      Note that the following number of true events actually occurred for each problematic event level:
       'c': 1
 
 # work with class_pred input

tests/testthat/_snaps/class-j_index.md

@@ -6,7 +6,7 @@
       Warning:
       While computing binary `sens()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Sensitivity is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted event(s) actually occured for the problematic event level, a
+      Note that 1 predicted event(s) actually occurred for the problematic event level, a
 
 # Binary `j_index()` returns `NA` with a warning when specificity is undefined (tn + fp = 0) (#265)
 
@@ -16,7 +16,7 @@
       Warning:
       While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`).
       Specificity is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted negatives(s) actually occured for the problematic event level, a
+      Note that 1 predicted negatives(s) actually occurred for the problematic event level, a
 
 # Multiclass `j_index()` returns averaged value with `NA`s removed + a warning when sensitivity is undefined (tp + fn = 0) (#265)
 
@@ -26,7 +26,7 @@
       Warning:
       While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
       Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted events actually occured for each problematic event level:
+      Note that the following number of predicted events actually occurred for each problematic event level:
       'c': 1
 
 # Multiclass `j_index()` returns averaged value with `NA`s removed + a warning when specificity is undefined (tn + fp = 0) (#265)
@@ -37,12 +37,12 @@
       Warning:
       While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
       Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted events actually occured for each problematic event level:
+      Note that the following number of predicted events actually occurred for each problematic event level:
       'b': 1, 'c': 1
       Warning:
       While computing multiclass `spec()`, some levels had no true negatives (i.e. `true_negative + false_positive = 0`).
       Specificity is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted negatives actually occured for each problematic event level:
+      Note that the following number of predicted negatives actually occurred for each problematic event level:
       'a': 2
 
 # work with class_pred input

tests/testthat/_snaps/class-ppv.md

@@ -6,7 +6,7 @@
       Warning:
       While computing binary `sens()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Sensitivity is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted event(s) actually occured for the problematic event level, a
+      Note that 1 predicted event(s) actually occurred for the problematic event level, a
 
 # work with class_pred input
 

tests/testthat/_snaps/class-precision.md

@@ -6,7 +6,7 @@
       Warning:
       While computing binary `precision()`, no predicted events were detected (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and `NA` will be returned.
-      Note that 1 true event(s) actually occured for the problematic event level, a
+      Note that 1 true event(s) actually occurred for the problematic event level, a
 
 # Multiclass `precision()` returns averaged value with `NA`s removed + a warning when undefined (tp + fp = 0) (#98)
 
@@ -16,7 +16,7 @@
       Warning:
       While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of true events actually occured for each problematic event level:
+      Note that the following number of true events actually occurred for each problematic event level:
       'a': 1, 'b': 1, 'c': 1
 
 ---
@@ -27,7 +27,7 @@
       Warning:
       While computing multiclass `precision()`, some levels had no predicted events (i.e. `true_positive + false_positive = 0`).
       Precision is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of true events actually occured for each problematic event level:
+      Note that the following number of true events actually occurred for each problematic event level:
       'c': 1
 
 # work with class_pred input

tests/testthat/_snaps/class-recall.md

@@ -6,7 +6,7 @@
       Warning:
       While computing binary `recall()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Recall is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted event(s) actually occured for the problematic event level a
+      Note that 1 predicted event(s) actually occurred for the problematic event level a
 
 # Multiclass `recall()` returns averaged value with `NA`s removed + a warning when undefined (tp + fn = 0) (#98)
 
@@ -16,7 +16,7 @@
       Warning:
       While computing multiclass `recall()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
       Recall is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted events actually occured for each problematic event level:
+      Note that the following number of predicted events actually occurred for each problematic event level:
       'b': 0, 'c': 1
 
 # work with class_pred input

tests/testthat/_snaps/class-sens.md

@@ -6,7 +6,7 @@
       Warning:
       While computing binary `sens()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
       Sensitivity is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted event(s) actually occured for the problematic event level, a
+      Note that 1 predicted event(s) actually occurred for the problematic event level, a
 
 # Multiclass `sens()` returns averaged value with `NA`s removed + a warning when undefined (tp + fn = 0) (#98)
 
@@ -16,7 +16,7 @@
       Warning:
       While computing multiclass `sens()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
       Sensitivity is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted events actually occured for each problematic event level:
+      Note that the following number of predicted events actually occurred for each problematic event level:
       'b': 0, 'c': 1
 
 # work with class_pred input

tests/testthat/_snaps/class-spec.md

@@ -6,7 +6,7 @@
       Warning:
       While computing binary `spec()`, no true negatives were detected (i.e. `true_negative + false_positive = 0`).
       Specificity is undefined in this case, and `NA` will be returned.
-      Note that 1 predicted negatives(s) actually occured for the problematic event level, a
+      Note that 1 predicted negatives(s) actually occurred for the problematic event level, a
 
 # Multiclass `spec()` returns averaged value with `NA`s removed + a warning when undefined (tn + fp = 0) (#98)
 
@@ -16,7 +16,7 @@
       Warning:
       While computing multiclass `spec()`, some levels had no true negatives (i.e. `true_negative + false_positive = 0`).
       Specificity is undefined in this case, and those levels will be removed from the averaged result.
-      Note that the following number of predicted negatives actually occured for each problematic event level:
+      Note that the following number of predicted negatives actually occurred for each problematic event level:
       'a': 2
 
 # work with class_pred input