[英]Best way to convert numeric variable to ordered factor
我有一個看起來像這樣的數據框:
df1 <- data.frame(V1=rnorm(n = 100, mean=0, sd=1),
Edu=sample(x = c(-999,12,13,14,16,1), size = 100,
replace = T, prob = c(0.05,0.2,.2,0.2,0.2,0.15)))
我想將變量Edu
轉換為有序因子變量。 我可以使用以下代碼將其轉換為字符變量:
lutedu <- c('-999' = NA, '12' = "High School", '13' = "Associate's",
'14' = "Associate's", '16' = "Bachelor's",
'18' = "Master's, Graduate/professional", '21' = "PhD")
df1$Edu <- lutedu[as.character(df1$Edu)]
然后從那里我可以使用ordered()
將字符變量轉換為有序因子:
df1$Edu <-
ordered(
x = df1$Edu, levels = c(
"High School", "Associate's", "Bachelor's",
"Master's, Graduate/professional", "PhD"
)
)
有更好的方法嗎?
無需使用命名的矢量進行編碼,然后調用ordered
,可以通過調用ordered
並同時使用levels
和labels
參數來節省步驟:
ordered(edu, levels=c(-999, 12, 13, 14, 16, 1),
labels=c("NA", "High School", "Associate's", "Bachelor's",
"Master's/Graduate", "PhD"))
# [1] High School Master's/Graduate Master's/Graduate Bachelor's Associate's
# [6] Master's/Graduate High School Master's/Graduate High School PhD
# ...
資料 :
set.seed(144)
edu <- sample(x = c(-999,12,13,14,16,1), size = 100,
replace = T, prob = c(0.05,0.2,.2,0.2,0.2,0.15))
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