我有一个数据框,如下所示:
data.frame(title="Title", bk=c("Book 1", "Book 1", "Book 3"), ch=c("Chapter 1", "Chapter 2", "Chapter 1"))
title bk ch
1 Title Book 1 Chapter 1
2 Title Book 1 Chapter 2
3 Title Book 3 Chapter 1
如何根据以下累积指数重复每次观察:
id=c(1,1,1,2,2,3,3,3,3)
以便可以以某种方式扩展数据帧,以适应生成累积索引的源向量?
title bk ch source_vector
1 Title Book 1 Chapter 1 ...
1 Title Book 1 Chapter 1
1 Title Book 1 Chapter 1
2 Title Book 1 Chapter 2
2 Title Book 1 Chapter 2
3 Title Book 3 Chapter 1
3 Title Book 3 Chapter 1
3 Title Book 3 Chapter 1
3 Title Book 3 Chapter 1
答案 0 :(得分:1)
一种选择是使用separate_rows
library(tidyverse)
df1 %>%
separate_rows(content)
# title bk ch content
#1 Title Book 1 Chapter 1 This
#2 Title Book 1 Chapter 1 is
#3 Title Book 1 Chapter 1 the
#4 Title Book 1 Chapter 2 content
#5 Title Book 1 Chapter 2 of
#6 Title Book 3 Chapter 1 each
#7 Title Book 3 Chapter 1 chapter
#8 Title Book 3 Chapter 1 in
#9 Title Book 3 Chapter 1 books
如果我们需要复制原始行
df1 %>%
uncount(str_count(content, "\\w+")) %>%
as_tibble
# A tibble: 9 x 4
# title bk ch content
# <fct> <fct> <fct> <fct>
#1 Title Book 1 Chapter 1 This is the
#2 Title Book 1 Chapter 1 This is the
#3 Title Book 1 Chapter 1 This is the
#4 Title Book 1 Chapter 2 content of
#5 Title Book 1 Chapter 2 content of
#6 Title Book 3 Chapter 1 each chapter in books
#7 Title Book 3 Chapter 1 each chapter in books
#8 Title Book 3 Chapter 1 each chapter in books
#9 Title Book 3 Chapter 1 each chapter in books
答案 1 :(得分:1)
在 base 中,您可以在完成以下每一行的do.call
和r.bind
之后使用strsplit
中的cbind
,
x <- data.frame(title="Title", bk=c("Book 1", "Book 1", "Book 3"), ch=c("Chapter 1", "Chapter 2", "Chapter 1"), content=c("This is the", "content of", "each chapter in books"))
do.call("rbind", by(x, 1:nrow(x), function(x) {cbind(x[-ncol(x)], str_split_content=strsplit(as.character(x$content[1]), " ")[[1]])}))
# title bk ch str_split_content
#1.1 Title Book 1 Chapter 1 This
#1.2 Title Book 1 Chapter 1 is
#1.3 Title Book 1 Chapter 1 the
#2.1 Title Book 1 Chapter 2 content
#2.2 Title Book 1 Chapter 2 of
#3.1 Title Book 3 Chapter 1 each
#3.2 Title Book 3 Chapter 1 chapter
#3.3 Title Book 3 Chapter 1 in
#3.4 Title Book 3 Chapter 1 books
答案 2 :(得分:1)
如果您只是想根据content
中的单词数来扩展行,那么这是一种实现方法,
library(splitstackshape)
expandRows(ddf, lengths(gregexpr("\\W+", ddf$content)) + 1, count.is.col = FALSE)
# title bk ch content
#1 Title Book 1 Chapter 1 This is the
#1.1 Title Book 1 Chapter 1 This is the
#1.2 Title Book 1 Chapter 1 This is the
#2 Title Book 1 Chapter 2 content of
#2.1 Title Book 1 Chapter 2 content of
#3 Title Book 3 Chapter 1 each chapter in books
#3.1 Title Book 3 Chapter 1 each chapter in books
#3.2 Title Book 3 Chapter 1 each chapter in books
#3.3 Title Book 3 Chapter 1 each chapter in books
答案 3 :(得分:1)
这更接近我想要的东西:
df %>%
mutate(str_split_content = str_split(content, " ")) %>%
unnest()
有人发布了,然后在不久前进行了修改/删除。
实际上,原始str_split
的内容是标点符号。因此,并非完全按字数划分。