What is the method in R for removing outliers?

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

1. calculate quantiles

data <- c(1, 2, 3, 4, 5, 10) # 示例数据
q <- quantile(data, probs = c(0.25, 0.75)) # 计算上四分位数和下四分位数
iqr <- q[2] - q[1] # 计算四分位距
threshold <- 1.5 * iqr # 设置阈值
data_clean <- data[data >= q[1] - threshold & data <= q[2] + threshold] # 去除极端值

1. function to identify an outlier
2. find the outlier
3. unusual data points
4. exceptional data points

install.packages("outliers") # 安装outliers包
library(outliers) # 加载outliers包
data <- c(1, 2, 3, 4, 5, 10) # 示例数据
data_clean <- rm.outlier(data, fill = TRUE) # 去除极端值

By using the above methods, it is possible to choose a suitable method to remove outliers from the data based on specific needs.