I was given a data that looks like this
我得到了一个看起来像这样的数据
x <- factor(c("A","B","King's"))
now I want to change the value King's to C without messing with A and B.
现在我想将King的值更改为C而不会弄乱A和B.
I tried using recode from plyr,
我尝试使用plyr的重新编码,
x<- recode(x, "'King's'='C';", as. factor.result=FALSE)
x < - recode(x,“'King''='C';”,as.factor.result = FALSE)
but I am unable to do so because it contains ( ' )
但我无法这样做,因为它包含(')
Any suggestions?
3 个解决方案
#1
2
Not positional dependent
不依赖于位置
levels(x)[levels(x) == "King's"] <- "C"
#2
2
This will do the trick for you
这将为你做到这一点
x <- factor(c("A","B","King's"))
levels(x)[3] <- "C"
#3
0
if you like to stick with recode: (not really recommended in that case)
如果你喜欢坚持重新编码:(在这种情况下不是真的推荐)
x <- recode(x, "deparse(substitute(`King's`))='C'", as.factor.result=FALSE)
#1
2
Not positional dependent
不依赖于位置
levels(x)[levels(x) == "King's"] <- "C"
#2
2
This will do the trick for you
这将为你做到这一点
x <- factor(c("A","B","King's"))
levels(x)[3] <- "C"
#3
0
if you like to stick with recode: (not really recommended in that case)
如果你喜欢坚持重新编码:(在这种情况下不是真的推荐)
x <- recode(x, "deparse(substitute(`King's`))='C'", as.factor.result=FALSE)