R语言 因子
因子是用于对数据进行分类和存储为级别的数据对象。它们可以存储字符串和整数。它们适用于具有有限数量独特值的列。例如,”男性”,”女性”和True,False等。它们在统计建模的数据分析中非常有用。
因子是通过使用 factor() 函数,以向量作为输入来创建的。
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))
执行上面的代码时,会产生以下结果−
[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
数据框中的因子
创建带有文本数据列的数据框时,R将该文本列视为分类数据并在其上创建因子。
# 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_datagender))
# Print the gender column so see the levels.
print(input_datagender)
当我们执行上面的代码时,它产生以下结果 −
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
改变水平的顺序
通过再次应用
“`factor“`函数,并使用新的水平顺序,可以改变因子中水平的顺序。
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)
当我们执行上述代码时,会产生以下结果 -。
[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
生成因子水平
可以使用 gl() 函数来生成因子水平。它接受两个整数作为输入,表示有多少个水平和每个水平需要重复的次数。
语法
gl(n, k, labels)
以下是参数的描述:
- n 是一个整数,表示级别的数量。
-
k 是一个整数,表示重复次数。
-
labels 是一个包含结果因子级别标签的向量。
示例
v <- gl(3, 4, labels = c("Tampa", "Seattle","Boston"))
print(v)
当我们执行上面的代码时,它会产生以下结果:
Tampa Tampa Tampa Tampa Seattle Seattle Seattle Seattle Boston
[10] Boston Boston Boston
Levels: Tampa Seattle Boston