Classifying the Temperature
Let’s consider an example where we classify temperatures into three categories: “Cold,” “Moderate,” and “Hot.”
R
# Step 1: Define the temperature variabletemperature <- 28# Step 2: Nested if-else statements for temperature classificationif (temperature <= 10) { classification <- "Cold"} else { if (temperature <= 25) { classification <- "Moderate" } else { classification <- "Hot" }}# Step 3: Print the classification resultcat("The temperature is classified as:", classification) |
Output:
The temperature is classified as: Hot
This R code that defines a temperature variable and uses nested if-else statements to classify the temperature as “Cold”, “Moderate”, or “Hot” based on its value. The classification result is then printed to the console.
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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