如何在R数据框中的分类列中找到类别计数？
如果我们在R数据帧中有两个类别列，则可以找到相对于另一列中每个类别的每个类别的频率/计数。这将有助于我们比较所有类别的频率。要查找类别的计数，我们可以使用表函数，如以下示例所示。
例1
考虑以下数据帧-
x1<−sample(c("Child","Teen","Adult","Old"),20,replace=TRUE)
x2<−sample(c("Unemployed","Employed"),20,replace=TRUE)
df1<−data.frame(x1,x2)
df1输出结果x1 x2 1 Old Unemployed 2 Child Unemployed 3 Adult Employed 4 Adult Unemployed 5 Adult Employed 6 Teen Employed 7 Old Employed 8 Child Unemployed 9 Child Employed 10 Adult Unemployed 11 Child Unemployed 12 Old Employed 13 Child Unemployed 14 Child Employed 15 Teen Employed 16 Adult Employed 17 Adult Unemployed 18 Old Employed 19 Adult Unemployed 20 Child Employed
在df1的两列中找到类别的计数-
示例
table(df1$x1,df1$x2)输出结果
Employed Unemployed Adult 3 4 Child 3 4 Old 3 1 Teen 2 0
例2
y1<−sample(c("Married","Unmarried"),20,replace=TRUE)
y2<−sample(c("Satisfied","Not-Satisfied"),20,replace=TRUE)
df2<−data.frame(y1,y2)
df2输出结果y1 y2 1 Married Not-Satisfied 2 Unmarried Not-Satisfied 3 Married Not-Satisfied 4 Unmarried Not-Satisfied 5 Married Satisfied 6 Married Not-Satisfied 7 Unmarried Satisfied 8 Married Satisfied 9 Unmarried Not-Satisfied 10 Unmarried Not-Satisfied 11 Unmarried Not-Satisfied 12 Unmarried Not-Satisfied 13 Married Satisfied 14 Married Satisfied 15 Married Satisfied 16 Married Not-Satisfied 17 Married Satisfied 18 Unmarried Satisfied 19 Married Satisfied 20 Married Satisfied
在df2的两列中找到类别计数-
示例
table(df2$y1,df2$y2)输出结果
Not−Satisfied Satisfied Married 4 8 Unmarried 6 2