R語言因子
因子是用於對數據進行分類並將其存儲爲級別的數據對象。它們可以存儲字符串和整數。 它們在具有有限數量的唯一值的列中很有用。 像「男」,「女」,「真」,「假」等。它們在統計建模的數據分析中很有用。
因子可通過factor()
函數使用向量作爲輸入來創建。
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))
當我們執行上述代碼時,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
在數據幀中的因子
在使用一列文本數據創建數據幀時,R將文本列視爲分類數據並在其上創建因子。參考以下示例代碼 -
# 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)
當我們執行上述代碼時,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
改變級別順序
可以通過用新的級別順序再次應用因子函數來改變因子中級別的順序。參考以下實現代碼 -
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)
當我們執行上述代碼時,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
產生因子級別
可以通過使用gl()
函數來生成因子級別。它需要兩個整數作爲輸入,它表示每個級別有多少級別和多少次。
語法
gl(n, k, labels)
以下是使用的參數的描述 -
- n - 是給出級別數的整數。
- k - 是給出複製次數的整數。
- labels - 是所得因子水平的標籤向量。
例子
v <- gl(3, 4, labels = c("Tampa", "Seattle","Boston"))
print(v)
當我們執行上述代碼時,會產生以下結果 -
Tampa Tampa Tampa Tampa Seattle Seattle Seattle Seattle Boston
[10] Boston Boston Boston
Levels: Tampa Seattle Boston