我有数据框:
email date_ts total duration
email1 2017-02-15 98.80 31990
email1 2017-02-16 59.52 60622
email1 2017-02-17 72.93 98105
email2 2017-02-18 54.45 29293
email2 2017-02-19 36.86 20157
email2 2017-02-25 18.66 7815
email2 2017-03-03 4.61 2407
email2 2017-03-04 180.91 182524
email3 2017-03-05 16.13 7121
email3 2017-03-24 25.65 2412
依旧......
我需要用库RcppRoll计算移动平均值。我试试:
df <- df%>%group_by(email)%>%mutate(avg = roll_mean(total, 2, na.rm=TRUE, align="right", normalize = TRUE))%>%ungroup()
但有错误:mutate_impl(.data,dots)出错: 不相容的大小(12),期望13(组大小)或1
答案 0 :(得分:0)
我找到了解决方案。如果您遇到同样的问题,请使用:
library(dplyr)
library(RcppRoll)
df <- df%>%
group_by(email)%>%
mutate(avg = roll_mean(total, 2, na.rm=TRUE, align="right", fill = NA))%>%
ungroup()