dplyr 突变相交不起作用

Question

我有一个这样的示例数据框我正在尝试使用以下代码

找到两列 coauthors 和 nacoauthors 之间的交集

interscout = 
  sample_test %>% 
  mutate( commonauth = intersect( coauthors, nacoauthors) )

我得到了这个输出我不确定为什么我无法在 mutate.

中使用 intersect 获取公共交集

理想情况下，最后一行应该是空的，第二行应该只有 JAMES M ANDERSON 交集。

这是结构的代码。

> dput(sample_test)
structure(list(fname = c("JACK", "JACK", "JACK"), lname = c("SMITH", 
"SMITH", "SMITH"), cname = c("JACK  SMITH", "JACK A SMITH", "JACK B SMITH"
), coauthors = list(c("AMEY S BAILEY", "JAMES M ANDERSON"), "JAMES M ANDERSON", 
    "JOHN MURRAY"), nacoauthors = list(c("AMEY S BAILEY", "JAMES M ANDERSON"
), c("AMEY S BAILEY", "JAMES M ANDERSON"), c("AMEY S BAILEY", 
"JAMES M ANDERSON"))), row.names = c(NA, -3L), vars = list(fname, 
    lname), drop = TRUE, indices = list(0:2), group_sizes = 3L, biggest_group_size = 3L, labels = structure(list(
    fname = "JACK", lname = "SMITH"), class = "data.frame", row.names = c(NA, 
-1L), vars = list(fname, lname), drop = TRUE, .Names = c("fname", 
"lname")), class = c("grouped_df", "tbl_df", "tbl", "data.frame"
), .Names = c("fname", "lname", "cname", "coauthors", "nacoauthors"
))

Answer 1

如果您添加 rowwise() 并将您的变异列设为 list，它将起作用：

interscout <- sample_test %>%
    ungroup() %>%
    rowwise() %>%
    mutate( commonauth = list( intersect(coauthors, nacoauthors) ) )

FWIW 如果我不包括 rowwise() 我得到 Error: not compatible with STRSXP

dplyr 突变相交不起作用

dplyr mutate intersect not working

r

dataframe

intersect

dplyr