[英]R considers factor name as a level
我從Excel文件中獲取數據(兩個變量,一個是分類變量,另一個是數字變量),然后將它們的類型分別更改為factor和numeric:
setwd("D:/Desktop/")
db_nouns = read.table ("Final_Database.txt")
db_nouns = db_nouns [2:507,]
colnames (db_nouns) = c ("category", "space")
db_nouns$category = as.factor (db_nouns$category)
db_nouns$space = as.numeric(as.character(db_nouns$space))
現在,我想安排因子級別(針對類別),以便它們以特定順序出現在繪圖中(以后):
levels (db_nouns$category) = c( "Ground", "Building", "Tool_precise_grip", "Tool_power_grip", "Food", "Clothes", "Animal", "Object", "Transport", "Action", "Body_Part", "Sense_Phys", "Sound", "Sense_Emotion", "Intelligence", "Space")
但是,當我這樣做時,我得到一個錯誤:
*Error in `levels<-.factor`(`*tmp*`, value = c("Ground", "Building", "Tool_precise_grip", :
number of levels differs*
如果我在db_nouns $ category中檢查級別,則會得到另一個稱為“ category”的級別,即R將因子的名稱視為級別之一(請參見下面的第5行)。 我怎樣才能解決這個問題?
> levels (db_nouns$category)
[1] "Action" "Animal" "Body_Part" "Building"
[5] "Category" "Clothes" "Food" "Ground"
[9] "Intelligence" "Object" "Sense_Emotion" "Sense_Phys"
[13] "Sound" "Space" "Tool_power_grip" "Tool_precise_grip"
[17] "Transport"
讀取數據時使用stringsAsFactors=T
,並且header = T
:
db_nouns <- read.table("Final_Database.txt", stringsAsFactors = T, header = T)
colnames(db_nouns) <- c ("category", "space")
new_order <- c( "Ground", "Building", "Tool_precise_grip", "Tool_power_grip", "Food", "Clothes", "Animal", "Object", "Transport", "Action", "Body_Part", "Sense_Phys", "Sound", "Sense_Emotion", "Intelligence", "Space")
db_nouns$category <- factor(db_nouns$category, levels = new_order)
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.