If-Else Condition
If-else condition is a control structure that differenciates over a sequence of values and executes a specified block of code for each value. We have a variable age and if we want to categorize ages into different groups within it, we can use a if-else condition.
The practical application of if-else conditions for age categorization is explored in this article, offering tips on how to effectively do this assignment in R. Learning how to categorise people according to their ages using if-else conditions is a useful ability whether you’re working with demographic data or in any other situation where age-related differences are relevant.
Lets explore how to categorize ages into different groups and understand its step-by-step implementation.
Syntax:
if (age < 18) {
category <- “Child”
} else if (age >= 18 && age < 60) {
category <- “Adult”
} else {
category <- “Senior”
}
cat(“Age:”, age, “\n”)
cat(“Category:”, category, “\n”)
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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