R：将字符从字符串向量提取到数据框架行

发布于 2025-02-07 22:10:06 字数 1027 浏览 0 评论 0原文

我有一个具有一个列的数据框，一个单词列表。我想从每个单词中提取字符，并将其存储为数据框中的位置列。

例如，如果按这样的数据框架定义：

words <- c('which', 'there', 'their', 'would') 
words <- as.data.frame(words)

我希望它在最后看起来像这样：

first_pos	second_pos	thirth_pos	four	firtth_pos fifth_pos	fifth_pos
wh	i	c	h	t	h
the	i r t	t h	e	e i r	r e
单词	w	h	e i i i i	e i	r
h	w w w w w w w	到目前为止	，	这	可以

我到目前为止所拥有的是：

position <- c("first_pos", "second_pos", "third_pos", "fourth_pos", "fifth_pos")
words[position] <- NA
dismantled <- str_split(words$words,"")

拆除单词并创建我需要的列。但是，我可以用一些帮助用字母来填充列的行。

原文

I have a data frame which has one column, a list of words. I'd like to extract the characters from each word and have it stored as a position column in the data frame.

For example, if the dataframe is defined like this:

words <- c('which', 'there', 'their', 'would') 
words <- as.data.frame(words)

I'd like it to look like this at the end:

words	first_pos	second_pos	third_pos	fourth_pos	fifth_pos
which	w	h	i	c	h
there	t	h	e	r	e
their	t	h	e	i	r
would	w	o	u	l	d

What I have so far is:

position <- c("first_pos", "second_pos", "third_pos", "fourth_pos", "fifth_pos")
words[position] <- NA
dismantled <- str_split(words$words,"")

This dismantles the words and creates the columns I need. However, I could use some help filling the rows of the columns with the letters.

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谈场末日恋爱 2025-02-14 22:10:06

我们可以在单词中的每个字符之间使用单独的：

library(tidyverse)
words %>%
  mutate(words1 =  sub("\\s+$", "", gsub('(.{1})', '\\1 ', words))) %>% 
  separate(words1, into = paste0(1:5, "_pos"))

  words 1_pos 2_pos 3_pos 4_pos 5_pos
1 which     w     h     i     c     h
2 there     t     h     e     r     e
3 their     t     h     e     i     r
4 would     w     o     u     l     d

We could use separate after a space between each character in words:

library(tidyverse)
words %>%
  mutate(words1 =  sub("\\s+quot;, "", gsub('(.{1})', '\\1 ', words))) %>% 
  separate(words1, into = paste0(1:5, "_pos"))

  words 1_pos 2_pos 3_pos 4_pos 5_pos
1 which     w     h     i     c     h
2 there     t     h     e     r     e
3 their     t     h     e     i     r
4 would     w     o     u     l     d

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