如何使用 dplyr 根据列名将特定字符串附加到行

How to append a specific string to rows based on column names with dplyr

我有一个包含蘑菇特征的数据框,例如:

SPECIES CAP.SHAPE CAP.SURFACE CAP.COLOR BRUISES    ODOR GILL.ATTACHMENT GILL.SPACING GILL.SIZE GILL.COLOR
1  PUNGENTIA    CONVEX       SCALY     BROWN     YES PUNGENT            FREE        CLOSE    NARROW      BLACK
2  YELLOWCAP    CONVEX       SCALY    YELLOW     YES  ALMOND            FREE        CLOSE     BROAD      BLACK
3 BELLSHROOM      BELL       SCALY     WHITE     YES   ANISE            FREE        CLOSE     BROAD      BROWN
  STALK.SHAPE STALK.ROOT STALK.SURFACE STALK.COLOR VEIL.COLOR RING.NUMBER RING.TYPE SPORE.PRINT.COLOR POPULATION
1   ENLARGING      EQUAL        SMOOTH      PURPLE      WHITE         ONE   PENDANT             BLACK  SCATTERED
2   ENLARGING       CLUB        SMOOTH      PURPLE      WHITE         ONE   PENDANT             BROWN   NUMEROUS
3   ENLARGING       CLUB        SMOOTH      PURPLE      WHITE         ONE   PENDANT             BROWN   NUMEROUS
  HABITAT
1   URBAN
2 GRASSES
3 MEADOWS

我想在与 CAP、GILL 和 STALK 相关的列的条目中附加一个字符串,以便它们的第一个条目变为 CONVEX.CAP、SCALY.CAP、BROWN.CAP CAP 列,FREE.GILLS、CLOSE.GILLS、NARROW.GILLS,用于 GILL 列等。我尝试使用 dplyr 包来这样做,并使用粘贴,如下所示:

reformatted_mushrooms <- mushrooms %>%
  mutate_at(.vars = c("CAP.SHAPE", "CAP.SURFACE", "CAP.COLOR"), .funs = 
              paste("CAP", sep = "."))

然而returns这个错误:

Error in get(.x, .env, mode = "function") : 
  object 'CAP' of mode 'function' was not found

我也试过使用 contains() 函数,像这样:

reformatted_mushrooms <- mushrooms %>%
  mutate_at(.vars = contains("CAP"), .funs = paste("CAP"), sep = ".")

但这会产生以下错误:

Error: No tidyselect variables were registered

有没有人看到我在这里做错了什么?非常感谢。

请确保您在问题中提供了可重现的示例!否则,您将付出不必要的努力。

library(tidyverse)

tibble::tibble('CAP.SHAPE' = c(1:5),
               'RANDOM.SHAPE' = c(11:15)) %>%
  mutate_at(vars(contains("CAP")), ~ paste0(.x, ".CAP"))

 A tibble: 5 x 2
  CAP.SHAPE RANDOM.SHAPE
  <chr>            <int>
1 1.CAP               11
2 2.CAP               12
3 3.CAP               13
4 4.CAP               14
5 5.CAP               15