[英]How to paste strings between tibble's character column and rows in a nested list-column
I have a tibble with one character column and one list-column that nests dataframes.我有一个包含一个字符列和一个嵌套数据框的列表列的小标题。 I want to collapse the dataframes in the list-column (using dplyr::bind_rows()
) and append the respective value from the character column for each row.我想折叠列表列中的数据框(使用dplyr::bind_rows()
)和 append 每行的字符列中的相应值。
library(tibble)
my_tibble <-
tibble(category = c("color", "shape"),
items = list(tibble(item = c("red", "blue"), value = c(1, 2)),
tibble(item = c("square", "triangle"), value = c(1, 2))
))
> my_tibble
## # A tibble: 2 x 2
## category items
## <chr> <list>
## 1 color <tibble [2 x 2]>
## 2 shape <tibble [2 x 2]>
I know how to collapse the entire items
column:我知道如何折叠整个items
列:
library(dplyr)
my_tibble %>%
pull(items) %>%
bind_rows()
## # A tibble: 4 x 2
## item value
## <chr> <dbl>
## 1 red 1
## 2 blue 2
## 3 square 1
## 4 triangle 2
But what I'm trying to achieve is to paste the values from the category
column of my_tibble
to get:但我想要实现的是粘贴my_tibble
的category
列中的值以获得:
desired output所需 output
## # A tibble: 4 x 2
## item value
## <chr> <dbl>
## 1 color_red 1
## 2 color_blue 2
## 3 shape_square 1
## 4 shape_triangle 2
How can I do this?我怎样才能做到这一点?
UPDATE更新
I think that tidyr::unnest_longer()
brings me closer to the target:我认为tidyr::unnest_longer()
让我更接近目标:
library(tidyr)
my_tibble %>%
unnest_longer(items)
# A tibble: 4 x 2
category items$item $value
<chr> <chr> <dbl>
1 color red 1
2 color blue 2
3 shape square 1
4 shape triangle 2
But not sure how to progress.但不知道如何进步。 Trying to append with tidyr::unite()
fails:尝试使用tidyr::unite()
尝试 append 失败:
my_tibble %>%
unnest_longer(items) %>%
unite("category", `items$item`)
Error: Can't subset columns that don't exist.错误:不能对不存在的列进行子集化。
x Columnitems$item
doesn't exist. x 列items$item
不存在。
unnest()
returns an output that's easier to work with than unnest_longer()
: unnest()
返回一个比unnest_longer()
更容易使用的 output :
library(tidyr)
my_tibble %>%
unnest(items) %>%
unite(col = item, category, item)
## # A tibble: 4 x 2
## item value
## <chr> <dbl>
## 1 color_red 1
## 2 color_blue 2
## 3 shape_square 1
## 4 shape_triangle 2
It's not the nicer way, but it works.这不是更好的方法,但它有效。 Try this:尝试这个:
library(dlpyr)
my_tibble %>%
group_by(category) %>%
group_modify(~data.frame(.$items)) %>%
ungroup() %>%
mutate(item=paste(category,item,sep="_")) %>%
select(-category)
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