我有一段代码:
sql_iv <- "select year, month, day,
count(HR)
from y2
group by year, month, day
order by year, month, day"
y3=sqldf(sql_iv)
计算一天中进行一次测量的次数(每天变化的次数):
Year Month Day count(HR)
1 2018 4 7 88
2 2018 4 8 327
3 2018 4 9 318
4 2018 4 10 274
5 2018 4 11 345
6 2018 4 12 275
.
.
.
189 2018 10 12 167
现在,我需要获取这些计算出的值,并将它们与数据进行合并,这些数据的每一项测量值都位于不同的行中(即,4月4日进行的所有测量值的最后一列都必须具有值88)。有人可以帮我吗?
前10次测量的数据结构(在48650中):
structure(list(Date = structure(c(1523119800, 1523119920, 1523119980,
1523120280, 1523120340, 1523120400, 1523120460, 1523120520, 1523120580,
1523120640), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
HR = c("97.0", "98.0", "95.0", "93.0", "94.0", "94.0", "92.0",
"96.0", "89.0", "90.0"), Year = c(2018, 2018, 2018, 2018,
2018, 2018, 2018, 2018, 2018, 2018), Month = c(4, 4, 4, 4,
4, 4, 4, 4, 4, 4), Day = c(7, 7, 7, 7, 7, 7, 7, 7, 7, 7),
Hour = c(16, 16, 16, 16, 16, 17, 17, 17, 17, 17), Minute = c(50,
52, 53, 58, 59, 0, 1, 2, 3, 4)), row.names = c(NA, -10L), class = c("tbl_df",
"tbl", "data.frame"))
答案 0 :(得分:0)
您在寻找这个吗?
library(dplyr)
mydata %>%
as_tibble() %>%
left_join(sqldf %>% as_tibble, by = c("Year", "Month", "Day"))