Age Categorisation using if-else conditions in R
R
age <- 10if (age < 18) { category <- "Child"} else if (age >= 18 && age < 60) { category <- "Adult"} else { category <- "Senior"}cat("Age:", age, "\n")cat("Category:", category, "\n") |
Output:
Age: 10
Category: Child
- We start with the age variable age set to 10.
- The first if condition checks if age is less than 18. This condition is TRUE
- The category variable is assigned the value “Child” because the age passes within the specified range.
- The cat function is used to print the age and the category.
- The output confirms that the age is 10 and falls into the “Child” category.
Categorize Ages into Different Groups in R
In this article, we will discuss how to categorize ages into different groups with its working example in the R Programming Language using R if-else conditions. Categorizing ages into distinct groups is a common task in data analysis and decision-making. In R programming, if-else condition is a versatile tool for achieving this.
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