load dplyr for count()

Author: simonpcouch

R/adjust-equivocal-zone.R

@@ -17,6 +17,7 @@
 #' not risk data leakage.
 #'
 #' @examplesIf rlang::is_installed("modeldata")
+#' library(dplyr)
 #' library(modeldata)
 #'
 #' head(two_class_example)

R/tailor.R

@@ -36,6 +36,7 @@
 #' The column names of class probability estimates. These should be given in
 #' the order of the factor levels of the `estimate`.
 #' @examplesIf rlang::is_installed("modeldata")
+#' library(dplyr)
 #' library(modeldata)
 #'
 #' # `predicted` gives hard class predictions based on probabilities

README.Rmd

@@ -49,6 +49,7 @@ The `two_class_example` dataset from modeldata gives the true value of an outcom
 
 ```{r}
 library(modeldata)
+library(dplyr)
 
 head(two_class_example)
 ```

README.md

@@ -54,6 +54,15 @@ and `Class2`). The hard class predictions, in `predicted`, are
 
 ``` r
 library(modeldata)
+library(dplyr)
+#> 
+#> Attaching package: 'dplyr'
+#> The following objects are masked from 'package:stats':
+#> 
+#>     filter, lag
+#> The following objects are masked from 'package:base':
+#> 
+#>     intersect, setdiff, setequal, union
 
 head(two_class_example)
 #>    truth      Class1       Class2 predicted