Final answer:
To find the most frequent age in a dataset using R, create a table of ages and use which.max to identify the most frequent age and its number of occurrences, then print the results.
Step-by-step explanation:
To identify the most frequent age of students in a school dataset using R, you can use the following code snippet:
# Assuming the dataset is loaded into a dataframe called 'student_ages'
most_frequent_age <- which.max(table(student_ages$age))
most_frequent_age_value <- names(most_frequent_age)
frequency_of_age <- table(student_ages$age)[most_frequent_age]
# To view the result
print(paste('The most frequent age is', most_frequent_age_value))
print(paste('Number of occurrences:', frequency_of_age))
This code calculates the most frequent age by creating a table of the ages and using which.max to find the age with the highest frequency. It also prints out the most frequent age and the corresponding number of occurrences.