Classifying Temperature based on Multiple Categories

Temperature Classification using if-else

R

temperature <- 28
 
if (temperature > 35) {
  temperature_class <- "very hot"
} else {
  if (temperature > 27) {
    temperature_class <- "hot"
  } else {
    if (temperature > 20) {
      temperature_class <- "good"
    } else {
      if (temperature > 10) {
        temperature_class <- "cold"
      } else {
        temperature_class <- "very cold"
      }
    }
  }
}
 
print(paste("The temperature classification is:", temperature_class))

Output:

[1] "The temperature classification is: hot"

This R code defines a temperature variable and uses nested if-else statements to classify the temperature into different categories (“very hot”, “hot”, “good”, “cold”, or “very cold”) based on its value. The code then prints the temperature classification.

Temperature Classification Using R

Temperature classification using nested if-else statements is a common programming task in which you categorize temperature values into different classes based on predefined ranges. This approach is often used for decision-making processes, such as determining whether to wear warm clothes, setting thermostat levels, or assessing weather conditions. In R, nested if-else statements are a useful tool for achieving this task efficiently and accurately.

Table of Content