r - 如何在R中的5个数据框中删除列中的常见元素

Question

我有 5 个数据框：

a <- data.frame(ID = c("1", "2", "3", "4", "5"), peak = c("peak1", "peak2", "peak3", "peak4", "peak10"))
b <- data.frame(ID = c("1", "2", "3", "4"), peak = c("peak1","peak3", "peak20", "peak21"))
c <- data.frame(ID = c("1", "2", "3"), peak = c("peak1", "peak5", "peak3"))
d <- data.frame(ID = c("1", "2", "3", "4", "5", "6"),peak = c("peak1", "peak3", "peak7", "peak8", "peak11", "peak12"))
e <- data.frame(ID = c("1", "2", "3"), peak = c("peak1", "peak3",  "peak9"))

我想删除数据帧中的共同峰值，并获得所需的输出：

a <- data.frame(ID = c("1", "2", "3", "4", "5"), peak = c("peak2", "peak4", "peak10"))
b <- data.frame(ID = c("1", "2", "3", "4"), peak = c("peak20", "peak21"))
c <- data.frame(ID = c("1", "2", "3"), peak = c("peak5", ))
d <- data.frame(ID = c("1", "2", "3", "4", "5", "6"),peak = c(  "peak7", "peak8", "peak11", "peak12"))
e <- data.frame(ID = c("1", "2", "3"), peak = c(  "peak9"))

我知道如何比较两个数据帧a[!(a$peak %in% b$peak),]，但我在 5 个数据帧上苦苦挣扎。

标签： runique

Answer 1

使用以下方法：

#Put the data in a list
list_df <- dplyr::lst(a, b, c, d, e)
#Get the common peak value
common_peak <- Reduce(intersect, lapply(list_df, `[[`, 'peak'))
common_peak
#[1] "peak1" "peak3"

#Remove the common peak value from all the dataframes
result <- lapply(list_df, function(x) subset(x, !peak %in% common_peak))
result

#$a
#  ID   peak
#2  2  peak2
#4  4  peak4
#5  5 peak10

#$b
#  ID   peak
#3  3 peak20
#4  4 peak21

#$c
#  ID  peak
#2  2 peak5

#$d
#  ID   peak
#3  3  peak7
#4  4  peak8
#5  5 peak11
#6  6 peak12

#$e
#  ID  peak
#3  3 peak9

#Update all the individual dataframes
list2env(result, .GlobalEnv)