diff --git a/R/ggpackets.R b/R/ggpackets.R
index 93d042c..5befd27 100644
--- a/R/ggpackets.R
+++ b/R/ggpackets.R
@@ -8,14 +8,14 @@
 #' # Prep a tidy data.frame to plot with
 #' airquality_long <- rbind(
 #'   data.frame(
-#'     airquality[,c("Month", "Day")], 
-#'     Variable = "Temp", 
+#'     airquality[,c("Month", "Day")],
+#'     Variable = "Temp",
 #'     Measurement = airquality$Temp),
 #'   data.frame(
-#'     airquality[,c("Month", "Day")], 
+#'     airquality[,c("Month", "Day")],
 #'     Variable = "Ozone",
 #'     Measurement = airquality$Ozone))
-#' 
+#'
 #' # Build our new composite ggplot geom
 #' geom_error_line <- ggpacket() %+%
 #'   geom_ribbon(
@@ -25,21 +25,21 @@
 #'     fun = mean,
 #'     fun.min = ~mean(.) - sd(.),
 #'     fun.max = ~mean(.) + sd(.),
-#'     alpha = 0.15, 
+#'     alpha = 0.15,
 #'     color = NA) %+%
 #'   geom_line(
 #'     .id = "line",
 #'     stat = 'summary',
 #'     fun = mean,
 #'     alpha = 0.8)
-#' 
+#'
 #' # Try it out!
-#' ggplot(airquality_long) + 
-#'   aes(x = round((Month * 30 + Day) / 4), y = Measurement, color = Variable) + 
-#'   geom_error_line(na.rm = TRUE, line.size = 1.5) + 
-#'   scale_y_log10() + 
+#' ggplot(airquality_long) +
+#'   aes(x = round((Month * 30 + Day) / 4), y = Measurement, color = Variable) +
+#'   geom_error_line(na.rm = TRUE, line.size = 1.5) +
+#'   scale_y_log10() +
 #'   labs(x = "Week")
-#' 
+#'
 #' # for further examples, check out the vignettes
 #' vignette(package = "ggpackets")
 #'
diff --git a/man/ggpackets-package.Rd b/man/ggpackets-package.Rd
index e488cec..b1951f1 100644
--- a/man/ggpackets-package.Rd
+++ b/man/ggpackets-package.Rd
@@ -15,11 +15,11 @@ plots that draw from the same source ggpacket layers.
 # Prep a tidy data.frame to plot with
 airquality_long <- rbind(
   data.frame(
-    airquality[,c("Month", "Day")], 
-    Variable = "Temp", 
+    airquality[,c("Month", "Day")],
+    Variable = "Temp",
     Measurement = airquality$Temp),
   data.frame(
-    airquality[,c("Month", "Day")], 
+    airquality[,c("Month", "Day")],
     Variable = "Ozone",
     Measurement = airquality$Ozone))
 
@@ -32,7 +32,7 @@ geom_error_line <- ggpacket() \%+\%
     fun = mean,
     fun.min = ~mean(.) - sd(.),
     fun.max = ~mean(.) + sd(.),
-    alpha = 0.15, 
+    alpha = 0.15,
     color = NA) \%+\%
   geom_line(
     .id = "line",
@@ -41,10 +41,10 @@ geom_error_line <- ggpacket() \%+\%
     alpha = 0.8)
 
 # Try it out!
-ggplot(airquality_long) + 
-  aes(x = round((Month * 30 + Day) / 4), y = Measurement, color = Variable) + 
-  geom_error_line(na.rm = TRUE, line.size = 1.5) + 
-  scale_y_log10() + 
+ggplot(airquality_long) +
+  aes(x = round((Month * 30 + Day) / 4), y = Measurement, color = Variable) +
+  geom_error_line(na.rm = TRUE, line.size = 1.5) +
+  scale_y_log10() +
   labs(x = "Week")
 
 # for further examples, check out the vignettes
@@ -54,7 +54,7 @@ vignette(package = "ggpackets")
 \seealso{
 Useful links:
 \itemize{
-  \item \url{https://dgkf.github.io/ggpackets}
+  \item \url{https://dgkf.github.io/ggpackets/}
 }
 
 }