将变量重新编码为R中的级别名称w因子

问题描述 投票:-1回答:3

使用我的数据集bikeshare我想将变量季节重新编码为具有有意义的级别名称的因素(即“冬季”,“春季”,“夏季”,“秋季”),以春天为基线水平。

这是我的尝试:

bikeshare <- bikeshare %>%
mutate(season = factor(c(1 = "winter", 
                      2 = "spring", 
                      3 = "summer", 
                      4 = "fall")))    

这是我得到的错误:

Error in UseMethod("mutate_") : no applicable method for 'mutate_' applied 
to an object of class "factor"

我很感激任何帮助,我是初学者。

r dataframe mutate r-factor
3个回答
0
投票

以下是如何将数字(1:4)转换为因子(“冬季”,“春季”,“夏季”,“秋季”)的示例。关键是使用factor函数并相应地设置levelslabels

# Create example data frame
bikeshare <- data.frame(season = 1:4)

bikeshare
#   season
# 1      1
# 2      2
# 3      3
# 4      4

library(dplyr)

bikeshare2 <- bikeshare %>%
  mutate(season = factor(as.character(season), 
                         levels = c(1, 2, 3, 4),
                         labels = c("winter", "spring", "summer", "fall")))
bikeshare2
#   season
# 1 winter
# 2 spring
# 3 summer
# 4   fall

0
投票

要创建因子,您需要向factor()函数提供数据和季节标签。

但是,由于您希望Spring成为基线级别,我相信您必须按特定顺序指定级别和标签 - 强制spring成为第一个:

bikeshare <- data.frame(season = 1:4)

bikeshare$seasonfactor <- factor(x = bikeshare$season,
                                 levels = c(2,3,4,1), 
                                 labels = c("spring", "summer", "fall", "winter"))

str(bikeshare$seasonfactor)
#>  Factor w/ 4 levels "spring","summer",..: 4 1 2 3

bikeshare
#>   season seasonfactor
#> 1      1       winter
#> 2      2       spring
#> 3      3       summer
#> 4      4         fall

reprex package创建于2019-03-03(v0.2.1)

这有点令人困惑,因为在seasonfactor中,Spring由1表示,但在原始的season中它由2表示。


0
投票

另一种方法是在labelled包的帮助下标记整数级别。因此它们保持整数,但标签为元数据。如果您想在任何时候将标记的整数转换为因子,您可以使用to_factor函数实现。

library("tidyverse")
library("labelled")

labels <- c(
  "winter" = 1,
  "spring" = 2,
  "summer" = 3,
  "fall" = 4)

bikeshare <-
  tibble(season = 1:4) %>%
  mutate(season = labelled(season, labels)) %>%
  mutate(seasonF = to_factor(season))
bikeshare
#> # A tibble: 4 x 2
#>       season seasonF
#>    <int+lbl> <fct>  
#> 1 1 [winter] winter 
#> 2 2 [spring] spring 
#> 3 3 [summer] summer 
#> 4 4 [fall]   fall

reprex package创建于2019-03-03(v0.2.1)

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