Temperature Classification using if-else
R
# Input temperature from the usertemperature <- as.numeric(readline("Enter the temperature in Celsius: "))if (temperature < -10.0) { cat("Extremely Cold\n")} else if (temperature < 0.0) { cat("Very Cold\n")} else if (temperature < 10.0) { cat("Cold\n")} else if (temperature < 20.0) { cat("Cool\n")} else if (temperature < 30.0) { cat("Warm\n")} else if (temperature < 40.0) { cat("Hot\n")} else { cat("Extremely Hot\n")} |
Output
Enter the temperature in Celsius: 32
Hot
The output “Hot” is displayed because the input temperature of 32 degrees Celsius falls within the range defined by the condition temperature < 40.0, which corresponds to the “Hot” category in 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
- Concepts related to the topic:
- Classifying the Temperature
- Classifying Temperature based on Multiple Categories
- Temperature Classification using if-else
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