我遇到dplyr问题，或者我无法弄清楚如何正确编码分位数部分。
我有一个数据，我希望按X和Y分组，然后计算每组中a的均值
dmean %>%
group_by(x,y) %>%
summarise(mean=mean(a))
这部分有效，没问题。 如何继续使用代码获得每组最低10％和最高10％的百分位数？
答案 0 :(得分：3)
您可以在df <- data.frame(
ID = as.factor(c(20260, 11893, 54216, 11716, 53368, 46196, 40007, 20970, 11802, 46166, 23615, 11865, 16138, 64789, 43211, 66539)),
Score = c(9,7,6,2,10,7,8,10,6,7,7,9,9,9,10,8),
Remark = as.factor(c("PASS","PASS","FAIL","FAIL","PASS","PASS","PASS","PASS","FAIL","PASS","PASS","PASS","PASS","PASS","PASS","PASS"))
)
df[df$Remark == "PASS", 1:2]
ID Score
1 20260 9
2 11893 7
5 53368 10
6 46196 7
7 40007 8
8 20970 10
10 46166 7
11 23615 7
12 11865 9
13 16138 9
14 64789 9
15 43211 10
16 66539 8
内添加多个表达式，如下所示：
summarise