反转R中的数据帧

sapply 一 match

# example data
df <- data.frame(
    id1 = c("red", "green", "blue"),
    id2 = c("green", "blue", "red"),
    id3 = c("blue", "red", "green"),
    stringsAsFactors = FALSE
)

# create ranking dataframe
sapply(df, match, x=c("green", "blue", "red"))

结果:

  id1 id2 id3 
1   2   1   3 
2   3   2   1 
3   1   3   2 

tidyr::spread ::gather 为此:

dat <- read.table(header=TRUE, stringsAsFactors=FALSE, text='
         id1      id2     id3
 rank1   red     green    blue
 rank2   green   blue     red
 rank3   blue    red      green')

library(dplyr)
library(tidyr)

dat %>%
  tibble::rownames_to_column() %>%
  gather(id, color, -rowname) %>%
  spread(id, rowname) %>%
  tibble::column_to_rownames(var="color")
#         id1   id2   id3
# blue  rank3 rank2 rank1
# green rank2 rank1 rank3
# red   rank1 rank3 rank2

(The) column_to_rownames 只是为了满足您的规范输出,我不建议使用行名称。)

可以插入命令以删除 rank 列组中的文本(如果需要):

dat %>%
  tibble::rownames_to_column() %>%
  mutate(rowname = gsub("\\D", "", rowname)) %>%
  gather(id, color, -rowname) %>%
  spread(id, rowname) %>%
  tibble::column_to_rownames(var="color")
#       id1 id2 id3
# blue    3   2   1
# green   2   1   3
# red     1   3   2

甚至 mutate(rowname = as.integer(gsub("\\D", "", rowname))) 如果你需要它们是整数。