How to directly remove outliers in R language?

In R language, you can directly remove outliers using the following method:

1. Delete outlier values using conditional statements: You can use logical operators (such as <, >, <=, >=) in combination with conditional statements to filter out the rows where outliers are located and delete those rows.

# 示例：删除数值向量中大于3和小于-3的异常值
v <- c(1, 2, 3, 4, 5, -10, -2, -1)
v <- v[v >= -3 & v <= 3]

1. A function that selects a portion of a larger data set.
2. screen out

# 示例：使用subset()函数删除数值向量中大于3和小于-3的异常值
v <- c(1, 2, 3, 4, 5, -10, -2, -1)
v <- subset(v, v >= -3 & v <= 3)

# 示例：使用filter()函数删除数据框中某一列大于3和小于-3的异常值所在的行
df <- data.frame(x = c(1, 2, 3, 4, 5, -10, -2, -1), y = c(6, 7, 8, 9, 10, 11, 12, 13))
df <- filter(df, x >= -3 & x <= 3)

1. Replace abnormal values with missing values: replace abnormal values with missing values (NA).

# 示例：将数值向量中大于3和小于-3的异常值替换为NA
v <- c(1, 2, 3, 4, 5, -10, -2, -1)
v[v > 3 | v < -3] <- NA

It is necessary to choose the appropriate method to remove outliers based on the specific situation.