对照布尔值分析分类数据

Question

我在R中有一个dataframe，它保存以下数据

> df3
    care_uncare              risks
1            No High risk patients
2           Yes High risk patients
3           Yes High risk patients
4           Yes High risk patients
5           Yes  Low risk patients
6           Yes  Low risk patients
7            No  Low risk patients
8           Yes High risk patients
9           Yes  Low risk patients
10          Yes  Low risk patients
11          Yes High risk patients
12          Yes  Low risk patients
13           No  Low risk patients
14          Yes  Low risk patients
15          Yes  Low risk patients
16          Yes High risk patients

其中care_uncare变量保存Yes/No值，risks变量保存高风险患者/低风险患者。

我想生成一个摘要或可视化，将患有care_uncare的患者总数显示为“是”，但将风险显示为“高风险患者”。

如何进行此分析？

Answer 1

您可以使用filter和summarise

library(dplyr)
df %>% filter(care_uncare == "Yes" & risks == "High risk patients") %>%
summarise( Total_Yes_High = n() )

  a     care_uncare risks             
  <chr> <chr>       <chr>             
1 2     Yes         High risk patients
2 3     Yes         High risk patients
3 4     Yes         High risk patients
4 8     Yes         High risk patients
5 11    Yes         High risk patients
6 16    Yes         High risk patients

Answer 2

这可以很容易地使用下面的代码：

df3 %>% group_by(care_uncare, risks) %>% summarise( n = n() )