R語(yǔ)言 因子

因子是用于對(duì)數(shù)據(jù)進(jìn)行分類(lèi)并將其存儲(chǔ)為級(jí)別的數(shù)據(jù)對(duì)象。 它們可以存儲(chǔ)字符串和整數(shù)。 它們?cè)诰哂杏邢迶?shù)量的唯一值的列中很有用。 像“男性”，“女性”和True，F(xiàn)alse等。它們?cè)诮y(tǒng)計(jì)建模的數(shù)據(jù)分析中很有用。
使用factor()函數(shù)通過(guò)將向量作為輸入創(chuàng)建因子。

例

# Create a vector as input.
data <- c("East","West","East","North","North","East","West","West","West","East","North")

print(data)
print(is.factor(data))

# Apply the factor function.
factor_data <- factor(data)

print(factor_data)
print(is.factor(factor_data))

當(dāng)我們執(zhí)行上面的代碼，它產(chǎn)生以下結(jié)果 -

 [1] "East"  "West"  "East"  "North" "North" "East"  "West"  "West"  "West"  "East" "North"
[1] FALSE
 [1] East  West  East  North North East  West  West  West  East  North
Levels: East North West
[1] TRUE

數(shù)據(jù)幀的因子

在創(chuàng)建具有文本數(shù)據(jù)列的任何數(shù)據(jù)框時(shí)，R語(yǔ)言將文本列視為分類(lèi)數(shù)據(jù)并在其上創(chuàng)建因子。

# Create the vectors for data frame.
height <- c(132,151,162,139,166,147,122)
weight <- c(48,49,66,53,67,52,40)
gender <- c("male","male","female","female","male","female","male")

# Create the data frame.
input_data <- data.frame(height,weight,gender)
print(input_data)

# Test if the gender column is a factor.
print(is.factor(input_data$gender))

# Print the gender column so see the levels.
print(input_data$gender)

嘗試一下

當(dāng)我們執(zhí)行上面的代碼，它產(chǎn)生以下結(jié)果 -

  height weight gender
1    132     48   male
2    151     49   male
3    162     66 female
4    139     53 female
5    166     67   male
6    147     52 female
7    122     40   male
[1] TRUE
[1] male   male   female female male   female male  
Levels: female male

更改級(jí)別順序

可以通過(guò)使用新的等級(jí)次序再次應(yīng)用因子函數(shù)來(lái)改變因子中的等級(jí)的順序。

data <- c("East","West","East","North","North","East","West","West","West","East","North")
# Create the factors
factor_data <- factor(data)
print(factor_data)

# Apply the factor function with required order of the level.
new_order_data <- factor(factor_data,levels = c("East","West","North"))
print(new_order_data)

當(dāng)我們執(zhí)行上面的代碼，它產(chǎn)生以下結(jié)果 -

 [1] East  West  East  North North East  West  West  West  East  North
Levels: East North West
 [1] East  West  East  North North East  West  West  West  East  North
Levels: East West North

生成因子級(jí)別

我們可以使用gl()函數(shù)生成因子級(jí)別。 它需要兩個(gè)整數(shù)作為輸入，指示每個(gè)級(jí)別有多少級(jí)別和多少次。

語(yǔ)法

gl(n, k, labels)

以下是所使用的參數(shù)的說(shuō)明 -

• n是給出級(jí)數(shù)的整數(shù)。

• k是給出復(fù)制數(shù)目的整數(shù)。

• labels是所得因子水平的標(biāo)簽向量。

例

v <- gl(3, 4, labels = c("Tampa", "Seattle","Boston"))
print(v)

當(dāng)我們執(zhí)行上面的代碼，它產(chǎn)生以下結(jié)果 -

Tampa   Tampa   Tampa   Tampa   Seattle Seattle Seattle Seattle Boston 
[10] Boston  Boston  Boston 
Levels: Tampa Seattle Boston

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