diff --git a/README.md b/README.md
index bc4f447..6550a8b 100644
--- a/README.md
+++ b/README.md
@@ -92,7 +92,7 @@ ggsave("assess_plot.png", plot)
 
 ### Get a correlation plot and table with significance stars
 ```R
-cortable(personality) # Display
+cortable(personality)
 
 write.csv(cortable(personality), "mytable.csv") # Save the table
 ggsave("corplot.png", cortable(personality)) # Save the plot
@@ -100,10 +100,9 @@ ggsave("corplot.png", cortable(personality)) # Save the plot
 This function will automatically select the numeric columns of your dataframe and show a correlation table with significance stars.
 You can adjust the p value by applying different corrections or change the type of correlation type (Spearman's or Pearson's). You can also view the result in RStudio or save it as a .csv file to open it in excel. Run `?cortable` for documentation.
 
-<p align="left"><img src="https://github.com/neuropsychology/neuropsychology.R/blob/master/tests/testthat/cortable_plot.png" width="700"></p>
-
-<p align="left"><img src="https://github.com/neuropsychology/neuropsychology.R/blob/master/tests/testthat/cortable.png" width="850"></p>
-
+<p align="left"><img src="https://github.com/neuropsychology/neuropsychology.R/blob/master/tests/testthat/cortable_plot.png" width="700">
+<img src="https://github.com/neuropsychology/neuropsychology.R/blob/master/tests/testthat/cortable.png" width="850">
+</p>
 
 ### Describe a dataframe
 ```R