how to anti_join only if整行相似r

library(dplyr)

# 创建两个数据框
df1 <- data.frame(id = c(1, 2, 3),
                  name = c("John", "Alice", "Bob"),
                  age = c(25, 30, 35))

df2 <- data.frame(id = c(2, 3, 4),
                  name = c("Alice", "Bob", "Charlie"),
                  age = c(30, 35, 40))

# 定义相似度阈值
similarity_threshold <- 0.8

# 计算两行之间的相似度
calculate_similarity <- function(row1, row2) {
  # 在这里使用合适的字符串相似度算法来计算相似度
  # 返回一个介于0和1之间的相似度值
  # 这里仅作示例，使用字符串完全匹配作为相似度计算
  if (all(row1 == row2)) {
    return(1)
  } else {
    return(0)
  }
}

# 执行anti_join操作
anti_join_if_similar <- function(df1, df2, similarity_threshold) {
  anti_join_rows <- vector("list", nrow(df1))
  counter <- 0
  
  for (i in 1:nrow(df1)) {
    is_similar <- FALSE
    
    for (j in 1:nrow(df2)) {
      similarity <- calculate_similarity(df1[i, ], df2[j, ])
      
      if (similarity >= similarity_threshold) {
        is_similar <- TRUE
        break
      }
    }
    
    if (!is_similar) {
      counter <- counter + 1
      anti_join_rows[[counter]] <- df1[i, ]
    }
  }
  
  if (counter > 0) {
    anti_join_df <- bind_rows(anti_join_rows[1:counter])
  } else {
    anti_join_df <- data.frame()
  }
  
  return(anti_join_df)
}

# 执行anti_join操作，并输出结果
result <- anti_join_if_similar(df1, df2, similarity_threshold)
print(result)