我手头有问题,我有两个向量,如下所示:
login_time "08:00" "09:00" "09:00" "09:00" "09:00" "09:00" "09:00" "10:00" "11:00" "10:00" "10:00" "16:00" "17:00" "20:00" "21:00"
login_count 1 4 3 9 17 10 4 7 9 3 8 6 7 2 3
现在,当第一行中的时间有多个值时,我应该总结登录计数值,最后我应该有唯一的login_time值,总计登录计数。
答案 0 :(得分:2)
我们可以使用xtabs
中的base R
。
xtabs(login_count~login_time)
#08:00 09:00 10:00 11:00 16:00 17:00 20:00 21:00
# 1 47 18 9 6 7 2 3
答案 1 :(得分:1)
您可以使用包dplyr
。
library(dplyr)
tmp_df <- data.frame(login_time = c("08:00","09:00","09:00","09:00","09:00","09:00","09:00","10:00","11:00","10:00","10:00","16:00","17:00","20:00","21:00"),
login_count = c(1,4,3,9,17,10,4,7,9,3,8,6,7,2,3))
tmp_df %>%
group_by(login_time) %>%
summarise(total_logins = sum(login_count))
产生:
Source: local data frame [8 x 2]
login_time total_logins
(fctr) (dbl)
1 08:00 1
2 09:00 47
3 10:00 18
4 11:00 9
5 16:00 6
6 17:00 7
7 20:00 2
8 21:00 3