diff --git a/R/MakeDataFrame.R b/R/MakeDataFrame.R
index dd7f5d9..03be102 100644
--- a/R/MakeDataFrame.R
+++ b/R/MakeDataFrame.R
@@ -37,7 +37,7 @@
 #'
 #'library(dplyr)
 #'library(ggplot2)
-#'tbl <- tbl_df(df)
+#'tbl <- as_tibble(df)
 #'ggplot(filter(tbl, loc==0)) + geom_density(aes(x=stat, col=factor(n)))
 #'
 #'@export
diff --git a/man/MakeFrame.Rd b/man/MakeFrame.Rd
index bc966f1..1b40c53 100644
--- a/man/MakeFrame.Rd
+++ b/man/MakeFrame.Rd
@@ -39,7 +39,7 @@ head(df)
 
 library(dplyr)
 library(ggplot2)
-tbl <- tbl_df(df)
+tbl <- as_tibble(df)
 ggplot(filter(tbl, loc==0)) + geom_density(aes(x=stat, col=factor(n)))
 
 }
diff --git a/vignettes/MonteCarlo-Vignette.Rmd b/vignettes/MonteCarlo-Vignette.Rmd
index bf961ea..c6b91a0 100644
--- a/vignettes/MonteCarlo-Vignette.Rmd
+++ b/vignettes/MonteCarlo-Vignette.Rmd
@@ -315,7 +315,7 @@ One can now use the dataframe to conduct further analyses. For example, we can p
 ```{r message=FALSE, warning=FALSE}
 library(dplyr)
 library(ggplot2)
-tbl <- tbl_df(df)
+tbl <- as_tibble(df)
 ggplot(filter(tbl, loc==0, scale==1)) + geom_density(aes(x=stat, col=factor(n)))
 ```