diff --git a/R/add_totals.R b/R/add_totals.R
index 39dc204f..a2170fd8 100644
--- a/R/add_totals.R
+++ b/R/add_totals.R
@@ -10,7 +10,6 @@
 #' @return Returns a data.frame augmented with a totals row, column, or both.
 #' @export
 #' @examples
-#' library(dplyr) # for the %>% pipe
 #' mtcars %>%
 #'   crosstab(am, cyl) %>%
 #'   adorn_totals()
@@ -66,7 +65,6 @@ adorn_totals <- function(dat, which = c("row", "col"), fill = "-", na.rm = TRUE)
 #' @return Returns a data.frame with a totals row, consisting of "Total" in the first column and column sums in the others.
 #' @export
 #' @examples
-#' library(dplyr) # for the %>% pipe
 #' mtcars %>%
 #'   crosstab(am, cyl) %>%
 #'   add_totals_row
@@ -88,7 +86,6 @@ add_totals_row <- function(dat, fill = "-", na.rm = TRUE){
 #' @return Returns a data.frame with a totals column containing row-wise sums.
 #' @export
 #' @examples
-#' library(dplyr) # for the %>% pipe
 #' mtcars %>%
 #'   crosstab(am, cyl) %>%
 #'   add_totals_col
diff --git a/R/adorn_crosstab.R b/R/adorn_crosstab.R
index fc37b496..c2cee1dd 100644
--- a/R/adorn_crosstab.R
+++ b/R/adorn_crosstab.R
@@ -13,7 +13,6 @@
 #' @param rounding method to use for truncating percentages - either "half to even", the base R default method, or "half up", where 14.5 rounds up to 15.
 #' @return Returns a data.frame.
 #' @examples
-#' library(dplyr) # for the %>% pipe
 #'mtcars %>%
 #'  crosstab(gear, cyl) %>%
 #'  adorn_crosstab(denom = "all")
diff --git a/R/clean_names.R b/R/clean_names.R
index 68d021c0..5b4c7272 100644
--- a/R/clean_names.R
+++ b/R/clean_names.R
@@ -12,7 +12,7 @@
 #' # not run:
 #' # clean_names(poorly_named_df)
 #'
-#' # library(dplyr) ; library(readxl)
+#' # library(readxl)
 #' # not run:
 #' # readxl("messy_excel_file.xlsx") %>% clean_names()
 
diff --git a/R/crosstab.R b/R/crosstab.R
index 3cab8e0b..80970c1f 100644
--- a/R/crosstab.R
+++ b/R/crosstab.R
@@ -27,12 +27,12 @@
 #' crosstab(mtcars$cyl, mtcars$gear, "row")
 #'
 #' # Passing in a data.frame using a pipeline:
-#' library(dplyr) # to access the pipe operator
 #' mtcars %>% crosstab(cyl, gear)
 #' mtcars %>% crosstab(cyl, gear, "row")
 #' 
 #' # This allows for upstream operations
 #' # prior to the crosstab() call:
+#' library(dplyr)
 #' mtcars %>%
 #'   filter(am == 0) %>%
 #'   crosstab(cyl, gear)
diff --git a/R/get_dupes.R b/R/get_dupes.R
index 9f082d3c..af57fa3c 100644
--- a/R/get_dupes.R
+++ b/R/get_dupes.R
@@ -9,8 +9,7 @@
 #' @export
 #' @examples
 #' get_dupes(mtcars, mpg, hp)
-#' # or called with magrittr pipe %>% :
-#' library(dplyr)
+#' # or called with the magrittr pipe %>% :
 #' mtcars %>% get_dupes(wt)
 #'
 
diff --git a/R/ns_to_percents.R b/R/ns_to_percents.R
index c5b8abd8..d32e532f 100644
--- a/R/ns_to_percents.R
+++ b/R/ns_to_percents.R
@@ -11,7 +11,6 @@
 #' @return Returns a data.frame of percentages, expressed as numeric values between 0 and 1.
 #' @export
 #' @examples
-#' library(dplyr) # for the %>% pipe
 #' mtcars %>%
 #'   crosstab(am, cyl) %>%
 #'   ns_to_percents(denom = "all")
diff --git a/R/remove_empties.R b/R/remove_empties.R
index 3eeb1ae4..e063283a 100644
--- a/R/remove_empties.R
+++ b/R/remove_empties.R
@@ -7,8 +7,6 @@
 #' @return Returns the data.frame with no empty rows.
 #' @export
 #' @examples
-#' # called with magrittr pipe %>% :
-#' # library(dplyr)
 #' # not run:
 #' # dat %>% remove_empty_rows
 
@@ -25,8 +23,6 @@ remove_empty_rows <- function(dat){
 #' @return Returns the data.frame with no empty columns.
 #' @export
 #' @examples
-#' # called with magrittr pipe %>% :
-#' # library(dplyr)
 #' # not run:
 #' # dat %>% remove_empty_cols
 #'
diff --git a/R/tabyl.R b/R/tabyl.R
index b54713ec..74e523e7 100644
--- a/R/tabyl.R
+++ b/R/tabyl.R
@@ -23,7 +23,6 @@
 #' tabyl(mtcars$cyl, sort = TRUE)
 #' 
 #' # Passing in a data.frame using a pipeline:
-#' library(dplyr) # to access the pipe operator
 #' mtcars %>% tabyl(cyl, sort = TRUE)
 #' 
 #' # illustrating show_na functionality:
diff --git a/R/utils.R b/R/utils.R
index 8a69c3b5..a11c0024 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -2,7 +2,7 @@
 
 #' Pipe operator
 #'
-#' See \code{\link[magrittr]{\%>\%}} for more details.
+#' @description Exported from the magrittr package.  To learn more, run \code{?magrittr::`\%>\%`}.
 #'
 #' @name %>%
 #' @rdname pipe
@@ -10,4 +10,8 @@
 #' @export
 #' @importFrom magrittr %>%
 #' @usage lhs \%>\% rhs
+#' @examples
+#' mtcars %>%
+#'   crosstab(carb, cyl) %>%
+#'   adorn_totals()
 NULL
\ No newline at end of file
diff --git a/man/add_totals_col.Rd b/man/add_totals_col.Rd
index d05b955a..fa574f61 100644
--- a/man/add_totals_col.Rd
+++ b/man/add_totals_col.Rd
@@ -18,7 +18,6 @@ Returns a data.frame with a totals column containing row-wise sums.
 This function is deprecated, use \code{adorn_totals} instead.
 }
 \examples{
-library(dplyr) # for the \%>\% pipe
 mtcars \%>\%
   crosstab(am, cyl) \%>\%
   add_totals_col
diff --git a/man/add_totals_row.Rd b/man/add_totals_row.Rd
index 2b19f83c..07100a3f 100644
--- a/man/add_totals_row.Rd
+++ b/man/add_totals_row.Rd
@@ -20,7 +20,6 @@ Returns a data.frame with a totals row, consisting of "Total" in the first colum
 This function is deprecated, use \code{adorn_totals} instead.
 }
 \examples{
-library(dplyr) # for the \%>\% pipe
 mtcars \%>\%
   crosstab(am, cyl) \%>\%
   add_totals_row
diff --git a/man/adorn_crosstab.Rd b/man/adorn_crosstab.Rd
index e0548449..d103145e 100644
--- a/man/adorn_crosstab.Rd
+++ b/man/adorn_crosstab.Rd
@@ -29,7 +29,6 @@ Formats a data.frame containing counts of co-occurences of two variables (i.e.,
 Designed to run on the output of a call to \code{janitor::crosstab}, but can be called on any data.frame containing a contingency table, e.g., the result of \code{dplyr::count()} followed by \code{tidyr::spread()}.
 }
 \examples{
-library(dplyr) # for the \%>\% pipe
 mtcars \%>\%
  crosstab(gear, cyl) \%>\%
  adorn_crosstab(denom = "all")
diff --git a/man/adorn_totals.Rd b/man/adorn_totals.Rd
index e968af05..0ca0ce50 100644
--- a/man/adorn_totals.Rd
+++ b/man/adorn_totals.Rd
@@ -22,7 +22,6 @@ Returns a data.frame augmented with a totals row, column, or both.
 This function excludes the first column of the input data.frame, assuming it's a descriptive variable not to be summed.  It also excludes other non-numeric columns.
 }
 \examples{
-library(dplyr) # for the \%>\% pipe
 mtcars \%>\%
   crosstab(am, cyl) \%>\%
   adorn_totals()
diff --git a/man/clean_names.Rd b/man/clean_names.Rd
index dd8eadaf..59184360 100644
--- a/man/clean_names.Rd
+++ b/man/clean_names.Rd
@@ -19,7 +19,7 @@ Resulting names are unique and consist only of the \code{_} character, lowercase
 # not run:
 # clean_names(poorly_named_df)
 
-# library(dplyr) ; library(readxl)
+# library(readxl)
 # not run:
 # readxl("messy_excel_file.xlsx") \%>\% clean_names()
 }
diff --git a/man/crosstab.Rd b/man/crosstab.Rd
index 63df7607..70211940 100644
--- a/man/crosstab.Rd
+++ b/man/crosstab.Rd
@@ -50,12 +50,12 @@ crosstab(mtcars$cyl, mtcars$gear)
 crosstab(mtcars$cyl, mtcars$gear, "row")
 
 # Passing in a data.frame using a pipeline:
-library(dplyr) # to access the pipe operator
 mtcars \%>\% crosstab(cyl, gear)
 mtcars \%>\% crosstab(cyl, gear, "row")
 
 # This allows for upstream operations
 # prior to the crosstab() call:
+library(dplyr)
 mtcars \%>\%
   filter(am == 0) \%>\%
   crosstab(cyl, gear)
diff --git a/man/get_dupes.Rd b/man/get_dupes.Rd
index 56440c8a..98b6de85 100644
--- a/man/get_dupes.Rd
+++ b/man/get_dupes.Rd
@@ -19,8 +19,7 @@ For hunting duplicate records during data cleaning.  Specify the data.frame and
 }
 \examples{
 get_dupes(mtcars, mpg, hp)
-# or called with magrittr pipe \%>\% :
-library(dplyr)
+# or called with the magrittr pipe \%>\% :
 mtcars \%>\% get_dupes(wt)
 
 }
diff --git a/man/ns_to_percents.Rd b/man/ns_to_percents.Rd
index 22ea9f60..1c594482 100644
--- a/man/ns_to_percents.Rd
+++ b/man/ns_to_percents.Rd
@@ -22,7 +22,6 @@ Returns a data.frame of percentages, expressed as numeric values between 0 and 1
 This function excludes the first column of the input data.frame, assuming that it contains a descriptive variable.
 }
 \examples{
-library(dplyr) # for the \%>\% pipe
 mtcars \%>\%
   crosstab(am, cyl) \%>\%
   ns_to_percents(denom = "all")
diff --git a/man/pipe.Rd b/man/pipe.Rd
index 51295fd8..e55a5633 100644
--- a/man/pipe.Rd
+++ b/man/pipe.Rd
@@ -7,6 +7,11 @@
 lhs \%>\% rhs
 }
 \description{
-See \code{\link[magrittr]{\%>\%}} for more details.
+Exported from the magrittr package.  To learn more, run \code{?magrittr::`\%>\%`}.
+}
+\examples{
+mtcars \%>\%
+  crosstab(carb, cyl) \%>\%
+  adorn_totals()
 }
 \keyword{internal}
diff --git a/man/remove_empty_cols.Rd b/man/remove_empty_cols.Rd
index d28b2938..629024fb 100644
--- a/man/remove_empty_cols.Rd
+++ b/man/remove_empty_cols.Rd
@@ -16,8 +16,6 @@ Returns the data.frame with no empty columns.
 Removes all columns from a data.frame that are composed entirely of \code{NA} values.
 }
 \examples{
-# called with magrittr pipe \%>\% :
-# library(dplyr)
 # not run:
 # dat \%>\% remove_empty_cols
 
diff --git a/man/remove_empty_rows.Rd b/man/remove_empty_rows.Rd
index 6461cd2e..cf34f749 100644
--- a/man/remove_empty_rows.Rd
+++ b/man/remove_empty_rows.Rd
@@ -16,8 +16,6 @@ Returns the data.frame with no empty rows.
 Removes all rows from a data.frame that are composed entirely of \code{NA} values.
 }
 \examples{
-# called with magrittr pipe \%>\% :
-# library(dplyr)
 # not run:
 # dat \%>\% remove_empty_rows
 }
diff --git a/man/tabyl.Rd b/man/tabyl.Rd
index eba5af1e..14dd6754 100644
--- a/man/tabyl.Rd
+++ b/man/tabyl.Rd
@@ -42,7 +42,6 @@ tabyl(val)
 tabyl(mtcars$cyl, sort = TRUE)
 
 # Passing in a data.frame using a pipeline:
-library(dplyr) # to access the pipe operator
 mtcars \%>\% tabyl(cyl, sort = TRUE)
 
 # illustrating show_na functionality: