R - 因子

因子是用於對資料進行分類並將其儲存為水平的資料物件。它們可以儲存字串和整數。它們在具有有限數量唯一值的列中非常有用，例如“男性”、“女性”和 True、False 等。它們在統計建模的資料分析中很有用。

因子是使用factor()函式建立的，它以向量作為輸入。

示例

# 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))

當我們執行上述程式碼時，它會產生以下結果：

[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

資料框中的因子

在建立任何包含文字資料列的資料框時，R 會將文字列視為分類資料並在其上建立因子。

# 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)

當我們執行上述程式碼時，它會產生以下結果：

  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

更改級別順序

可以透過再次應用 factor 函式並使用新的級別順序來更改因子中級別的順序。

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)

當我們執行上述程式碼時，它會產生以下結果：

 [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

生成因子級別

我們可以使用gl()函式生成因子級別。它接受兩個整數作為輸入，分別表示有多少個級別以及每個級別出現多少次。

語法

gl(n, k, labels)

以下是所用引數的描述：

• n 是一個整數，表示級別的數量。

• k 是一個整數，表示重複次數。

• labels 是結果因子級別的標籤向量。

示例

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

當我們執行上述程式碼時，它會產生以下結果：

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