What is the method for filtering and assigning conditions in R programming language?

In R programming language, you can use conditional filtering and assignment methods to manipulate data. Some common methods include:

1. By using logical operators, you can filter data by combining conditional expressions such as “==”, “>”, “<", etc., and assign the filtered result to a new variable. For example:

# 筛选出age大于30的数据，并将结果赋值给新的变量
new_data <- data[data$age > 30, ]

1. By using the ifelse function:
   The ifelse function is able to evaluate a condition and return a corresponding value based on the result. The return value of the ifelse function can be assigned to a new variable. For example:

# 根据age是否大于30来判断，将结果赋值给新的变量
new_data <- ifelse(data$age > 30, "大于30", "小于等于30")

1. The subset function can be used to filter data based on specified conditions and assign the filtered results to a new variable. For example:

# 筛选出age大于30的数据，并将结果赋值给新的变量
new_data <- subset(data, age > 30)

These methods can be chosen for use according to different needs, and by filtering and assigning values based on conditions, data can be processed flexibly.