问题描述
我有以下数据框 dat 和一个列表 b:
I have the following data frame dat and a list b:
Word = c("FOO", "BAM", "ZIP")
Count = c(7, 6, 2)
dat = data.frame(Word, Count)
b<-c("FOO")
我正在 dat 中创建第三列，像这样打印 TRUE 或 FALSE:
I'm creating a third column in dat that prints TRUE or FALSE like so:
dat<-data.frame(dat$Word,dat$Count, dat$Word %in% b)
colnames(dat)<-c("Word","Count","Condition")
打印:
>dat
Word Count Condition
FOO 7 TRUE
BAM 6 FALSE
ZIP 2 FALSE
到目前为止一切顺利.现在不是手动创建 b，我想将换行符分隔的文件读入 R，并且仍然能够使用我上面写的代码来创建 3 列数据框 dat.
So far so good. Now instead of creating b manually, I want to read in a newline-separated file into R, and still be able to use the code I wrote above to create the 3 column data frame dat.
我的意思是:
df1 <- read.table(text="FOO\nCAT\nDOG\nFISH\n")
dat<-data.frame(dat$Word,dat$Count, dat$Word %in% df1)
colnames(dat)<-c("Word","Count","Condition")
然而，这会打印:
>dat
Word Count Condition
FOO 7 FALSE
BAM 6 FALSE
ZIP 2 FALSE
而不是以前的工作方式.我的问题:如何将 words.txt 文件导入 df1 以便我上面编写的代码仍然有效?
Instead of how it worked before. My question: How do I import a file say words.txt into df1 so that the code I wrote above still works?
推荐答案
'df1' 返回一个 data.frame 列 'V1' 作为默认命名，因此我们需要提取该列即
The 'df1' returns a data.frame with column 'V1' as the default naming, So we need to extract that column i.e.
data.frame(Word = dat$Word,Count=dat$Count, Condition= dat$Word %in% df1[[1]])
# Word Count Condition
#1 FOO 7 TRUE
#2 BAM 6 FALSE
#3 ZIP 2 FALSE
如果我们需要这个作为vector，我们可以直接用scan
v1 <- scan(text="FOO\nCAT\nDOG\nFISH\n", what="", quiet=TRUE)
transform(dat, Condition = Word %in% v1)
# Word Count Condition
#1 FOO 7 TRUE
#2 BAM 6 FALSE
#3 ZIP 2 FALSE
注意:list 与 vector 不同.在 list 中，元素可以是不同的类型，但在 vector 中，所有元素都是相同的 type.根据所需的输出，vector 似乎是我们在这里的目标.
NOTE: A list is different from a vector. In a list, the elements can be of different types, but in a vector all of them are of the same type. Based on the output required, it seems that vector is what we are aiming for here.
这篇关于R - 如何将文本文件读入列表?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！