如何自定义duplicated()函数的比较逻辑

duplicated() 函数是在 R 语言中用于查找重复元素的函数

custom_duplicated <- function(data, compare_function) {  n <- nrow(data)  duplicated_rows <- c()    for (i in 2:n) {    row_i <- data[i, ]        for (j in 1:(i-1)) {      row_j <- data[j, ]            if (compare_function(row_i, row_j)) {        duplicated_rows <- c(duplicated_rows, i)        break      }    }  }    return(duplicated_rows)}# 示例比较函数compare_function <- function(row1, row2) {  all.equal(row1, row2, tolerance = 1e-6)}# 示例数据data <- data.frame(a = c(1, 2, 3, 1), b = c(4, 5, 6, 4))# 使用自定义比较函数查找重复行result <- custom_duplicated(data, compare_function)print(result)

library(dplyr)custom_duplicated <- function(data, compare_function) {  data %>%    group_by_all() %>%    mutate(count = n()) %>%    filter(count > 1) %>%    select(-count) %>%    ungroup()}# 示例比较函数compare_function <- function(row1, row2) {  all.equal(row1, row2, tolerance = 1e-6)}# 示例数据data <- data.frame(a = c(1, 2, 3, 1), b = c(4, 5, 6, 4))# 使用自定义比较函数查找重复行result <- custom_duplicated(data, compare_function)print(result)

这两个示例都展示了如何使用自定义比较函数来查找重复行。你可以根据需要修改比较函数以实现不同的比较逻辑。