Merge branch 'main' into strengejacke/issue810

Author: strengejacke

DESCRIPTION

@@ -1,12 +1,12 @@
 Type: Package
 Package: performance
 Title: Assessment of Regression Models Performance
-Version: 0.13.0.6
+Version: 0.13.0.7
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",
              role = c("aut", "cre"),
-             email = "d.luedecke@uke.de",
+             email = "officialeasystats@gmail.com",
              comment = c(ORCID = "0000-0002-8895-3206")),
       person(given = "Dominique",
              family = "Makowski",

NEWS.md

@@ -22,6 +22,8 @@
   number of observations in the returned base-model, thus calculating the correct
   log-likelihood and returning the correct pseudo-R2.
 
+* Fixed examples in `check_outliers()`.
+
 # performance 0.13.0
 
 ## Breaking changes

R/check_outliers.R

@@ -303,17 +303,16 @@
 #' data <- mtcars # Size nrow(data) = 32
 #'
 #' # For single variables ------------------------------------------------------
-#' outliers_list <- check_outliers(data$mpg) # Find outliers
+#' # Find all observations beyond +/- 2 SD
+#' outliers_list <- check_outliers(data$mpg, method = "zscore", threshold = 2)
 #' outliers_list # Show the row index of the outliers
 #' as.numeric(outliers_list) # The object is a binary vector...
 #' filtered_data <- data[!outliers_list, ] # And can be used to filter a data frame
-#' nrow(filtered_data) # New size, 28 (4 outliers removed)
+#' nrow(filtered_data) # New size, 30 (2 outliers removed)
 #'
-#' # Find all observations beyond +/- 2 SD
-#' check_outliers(data$mpg, method = "zscore", threshold = 2)
 #'
 #' # For dataframes ------------------------------------------------------
-#' check_outliers(data) # It works the same way on data frames
+#' check_outliers(data, threshold = 2) # It works the same way on data frames
 #'
 #' # You can also use multiple methods at once
 #' outliers_list <- check_outliers(data, method = c(