Dpylr'；s重编码功能多对1 R

我想要一个更简单的方法来重新编码向量。具体来说，我想知道是否有一种方法可以将向量传递给像

dplyr

这样的函数

recode

。我了解准旋转的基本原理，但不太了解如何合并

=

library(tidyverse)

vec1 <- rep(LETTERS[1:7],7)

#standard way
vec2 <- recode(vec1, 
               "A" = "Value1",
               "B" = "Value2",
               "C" = "Value3",
               "D" = "Value4",
               "E" = "Value5",
               "F" = "Value6",
               "G" = "Value7"
               )

vec3 <- recode(vec1,
               "A" = "Value1",
               "B" = "Value1",
               "C" = "Value2",
               "D" = "Value2",
               .default = "Value other"
               )

我还找到了传递两个向量并重命名所有变量的方法

recode.by.vectors <- function(x, current.names, new.names){
  do.call(dplyr::recode, c(list(x), setNames(new.names, current.names)))
}

---

recode.by.vectors我们可以在
dplyr
包中使用
case\u

library(dplyr)

vec1 <- rep(LETTERS[1:7],7)

vec2 <- case_when(
    vec1 %in% c("A", "B")    ~ "Value1",
    vec1 %in% c("C", "D")    ~ "Value2",
    TRUE                     ~ "Value other"
  ) 
head(vec2)
# [1] "Value1"      "Value1"      "Value2"      "Value2"      "Value other" "Value other"

库（dplyr）
vec1我们可以在
dplyr
包中使用
case\u

library(dplyr)

vec1 <- rep(LETTERS[1:7],7)

vec2 <- case_when(
    vec1 %in% c("A", "B")    ~ "Value1",
    vec1 %in% c("C", "D")    ~ "Value2",
    TRUE                     ~ "Value other"
  ) 
head(vec2)
# [1] "Value1"      "Value1"      "Value2"      "Value2"      "Value other" "Value other"

库（dplyr）
vec1使用
forcats
软件包（也包括在
tidyverse
软件包中）

使用
forcats
软件包（也包括在
tidyverse
软件包中）

vec3 <- vec1
val1 <- c("A", "B")
val2 <- c("C", "D")
vec3[vec1 %in% val1] <- "Value1"
vec3[vec1 %in% val2] <- "Value2"
vec3[!vec1 %in% c(val1,val1)] <- "Value other"

library(dplyr)

vec1 <- rep(LETTERS[1:7],7)

vec2 <- case_when(
    vec1 %in% c("A", "B")    ~ "Value1",
    vec1 %in% c("C", "D")    ~ "Value2",
    TRUE                     ~ "Value other"
  ) 
head(vec2)
# [1] "Value1"      "Value1"      "Value2"      "Value2"      "Value other" "Value other"

library(forcats)

vec1 <- rep(LETTERS[1:7], 7)

fct_collapse(vec1,
             Value1 = c("A", "B"),
             Value2 = c("C", "D"),
             `Value other` = c("E", "F", "G"))

fct_collapse(vec1,
             Value1 = c("A", "B"),
             Value2 = c("C", "D")) %>% 
  fct_other(keep = c("Value1", "Value2"),
            other_level = "Value other")