使用dplyr有条件地将一列中的值替换为另一列中的值
我想用不同列中同一行中的值替换一列中与特定条件匹配的值。考虑这个例子:使用dplyr有条件地将一列中的值替换为另一列中的值,r,replace,dplyr,conditional,R,Replace,Dplyr,Conditional,我想用不同列中同一行中的值替换一列中与特定条件匹配的值。考虑这个例子: library(tidyverse) data <- tribble( ~X25, ~Other, "a", NA, "b", NA, "Other", "c", "Other", "d" ) View(data) # Works to change values in X25 within(data, { X25 <- ifelse(X25 == "Other", Other, X
library(tidyverse)
data <- tribble(
~X25, ~Other,
"a", NA,
"b", NA,
"Other", "c",
"Other", "d"
)
View(data)
# Works to change values in X25
within(data, {
X25 <- ifelse(X25 == "Other", Other, X25)
})
# Changes values in X25 to NA and doesn't replace X25 with appropriate value from Other column
data %>% mutate(X25 = replace(X25, X25 == "Other", Other))
库(tidyverse)
数据使用replace
,长度应该相同,因此我们需要将其他
以及逻辑表达式子集
data %>%
mutate(X25 = replace(X25, X25 == "Other", Other[X25=="Other"]))
当
data %>%
mutate(X25 = case_when(X25=="Other"~ Other,
TRUE ~ X25))
或ifelse
data %>%
mutate(X25 = ifelse(X25 == "Other", Other, X25))
@是的,你是对的。一般来说,在执行此操作之前,最好将
因子
转换为字符
。转换或使用ifelse(as.character(X25)=“Other”、as.character(Other)、as.character(X25))
或必须在转换之前添加级别(如果有一些新级别),如
等