【发布时间】:2021-11-25 08:12:41
【问题描述】:
我发现了类似的问题,但还没有解决我的问题。 我有一个巨大的数据框,我试图找到出现一系列字符串的位置。 这是我的示例数据:
var1 <- c("Goats","Sheep","Pigs","Dog","Zebu","Donkeys","Water buffaloes","Dromedary camel","Dog","Pig")
var2 <- c("cats","Dog","birds","rabbits","Plant","fish","guinea pigs","cat","Mouse","dog")
var3 <- c("cats","Dog","birds","rabbits","horses","Sheep","Pigs","Tree","Zebu","Donkeys")
var4 <- c("Plant","Ant","Bee","Tree","Water buffaloes","Donkeys","Water buffaloes","Dromedary camel","Dog","Pig")
df <- data.frame(var1, var2, var3, var4)
head(df)
var1 var2 var3 var4
1 Goats cats cats Plant
2 Sheep Dog Dog Ant
3 Pigs birds birds Bee
4 Dog rabbits rabbits Tree
5 Zebu Plant horses Water buffaloes
6 Donkeys fish Sheep Donkeys
>
我可以找到每棵树和植物出现的行和列:
strings = c( "Tree","Plant")
which(apply(df, 1, function(x) any(grepl(paste(strings, collapse = "|"), x))))# ROW
[1] 1 4 5 8
which(apply(df, 2, function(x) any(grepl(paste(strings, collapse = "|"), x)))) # COLUMN
var2 var3 var4
2 3 4
但不知道如何将列名(或索引)放入每一行的新变量中。这就是我想要的:
> head(df)
var1 var2 var3 var4 x1
1 Goats cats cats Plant var4
2 Sheep Dog Dog Ant NA
3 Pigs birds birds Bee NA
4 Dog rabbits rabbits Tree var4
5 Zebu Plant horses Water buffaloes var2
6 Donkeys fish Sheep Donkeys NA
我认为 str_detect 或 str_which 可以,但不确定如何在所有列中执行此操作。 比如:
df <- df %>%
mutate(words = ifelse(any_vars(str_detect(strings))))
感谢您的时间和帮助。
【问题讨论】: