This application will allow you to check the normality of four numeric variables from the iris data.

The application is running on: https://catherine-torres.shinyapps.io/Normality_check/

The ui.R and Server.R Code can be found in the github repository: https://github.com/cathetorres/normality-check

summary(iris)

##   Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
##  Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
##  1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
##  Median :5.800   Median :3.000   Median :4.350   Median :1.300  
##  Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
##  3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
##  Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
##        Species  
##  setosa    :50  
##  versicolor:50  
##  virginica :50  
##                 
##                 
## 

First, choose which variable you want to check the normality:

• Sepal.Length
• Sepal.Width
• Pepal.Length
• Pepal.Width

You can check the normality with two types of plots:

You can also check the normality by using the Shapiro-Wilks test:

## 
##  Shapiro-Wilk normality test
## 
## data:  iris$Sepal.Width
## W = 0.98492, p-value = 0.1012