diff --git a/DESCRIPTION b/DESCRIPTION
index 698beee..a5b06b8 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,10 +1,11 @@
 Package: epitabulate
 Title: Tables for Epidemiological Analysis
-Version: 0.0.0.9006
+Version: 0.0.0.9007
 Authors@R: c(
     person(given = "Amy",
            family = "Gimma",
-           role = c("aut", "cre")),
+           role = c("aut", "cre"), 
+           email = "contact@appliedepi.org"),
     person(given = "Zhian N.",
            family = "Kamvar",
            role = c("aut"),
diff --git a/R/transpose_pretty.R b/R/transpose_pretty.R
index 0bcd83b..2b48dea 100644
--- a/R/transpose_pretty.R
+++ b/R/transpose_pretty.R
@@ -47,8 +47,6 @@ transpose_pretty <- function(x, columns, rows, suffix, clev = NULL) {
 #' @return a flipped data frame where the stratifying variables are flipped
 #' @noRd
 #'
-#' @examples
-#'
 flipper <- function(x, res, transpose = c("variable", "value", "both"), pretty = TRUE, stra, is_survey = TRUE) {
   if (transpose == "both") {
     # if the user wants to keep both columns, then we unite them and then
@@ -185,7 +183,7 @@ widen_tabulation <- function(y, cod, st, pretty = TRUE, digits = 1) {
   if (pretty) {
     # map through all the levels of l and pull out the matching columns
     tmp <- purrr::map(l, ~ dplyr::select(y, dplyr::starts_with(paste0(., " "))))
-    # pretty up those columns 
+    # pretty up those columns
     tmp <- purrr::map2(tmp, l, ~ prettify_tabulation(.x, digits = digits, ci_prefix = .y))
     # glue the results to the first column of the data
     y <- dplyr::bind_cols(y[1], tmp, .name_repair = "minimal")