如何在R中求和或平均小时数

时间:2015-03-29 20:31:27

标签: r time hour lubridate

为什么sum和average在使用lubridate提取的小时数上不起作用,当使用+和除法的简单加法单独工作时。

数据集

Category   Time1    Time2       hr1        hr2
1        A 0:30:00 24:00:00    30M 0S  24H 0M 0S
2        B 1:00:00 23:23:00  1H 0M 0S 23H 23M 0S
3        C 2:30:00 23:00:59 2H 30M 0S 23H 0M 59S
4        D 3:00:00 45:00:00  3H 0M 0S  45H 0M 0S

> dput(t1)
structure(list(Category = c("A", "B", "C", "D"), Time1 = c("0:30:00", 
"1:00:00", "2:30:00", "3:00:00"), Time2 = c("24:00:00", "23:23:00", 
"23:00:59", "45:00:00"), hr1 = structure(c(0, 0, 0, 0), year = c(0, 
0, 0, 0), month = c(0, 0, 0, 0), day = c(0, 0, 0, 0), hour = c(0, 
1, 2, 3), minute = c(30, 0, 30, 0), class = structure("Period", package = "lubridate")), 
    hr2 = structure(c(0, 0, 59, 0), year = c(0, 0, 0, 0), month = c(0, 
    0, 0, 0), day = c(0, 0, 0, 0), hour = c(24, 23, 23, 45), minute = c(0, 
    23, 0, 0), class = structure("Period", package = "lubridate"))), .Names = c("Category", 
"Time1", "Time2", "hr1", "hr2"), row.names = c(NA, -4L), class = "data.frame")

RCODE

t1<-read.csv("time1.csv", header=TRUE, sep=",",stringsAsFactors=FALSE)
library(lubridate)
t1$hr1<-hms(t1$Time1)
t1$hr2<-hms(t1$Time2)

#This WORKS

> t1$hr1[4]+t1$hr2[3]
[1] "26H 0M 59S"

> (t1$hr1[4]+t1$hr2[3])/2
[1] "13H 0M 29.5S"

但这不是

> sum(t1$hr1[4]+t1$hr2[3])
[1] 59

> mean(t1$hr1[4]+t1$hr2[3])
[1] 59

1 个答案:

答案 0 :(得分:0)

您可以使用sum转换为秒,执行meanseconds_to_period,然后使用period转换回library(lubridate) t1$hr1 = hms(t1$Time1) t1$hr2 = hms(t1$Time2) fsum = function(...){ seconds_to_period(sum(period_to_seconds(...))) } fmean = function(...){ seconds_to_period(mean(period_to_seconds(...))) } tohms = function(...){ ans = c(...) ans@hour = ans@day*24 + ans@hour ans@day = 0 ans } t2 = fsum(t1$hr1[4]+t1$hr2[3]) t2 #> [1] "1d 2H 0M 59S" tohms(t2) #> [1] "26H 0M 59S"

sum

如果您预计meant1 = structure(list(Category = c("A", "B", "C", "D"), Time1 = c("0:30:00", "1:00:00", "2:30:00", "3:00:00"), Time2 = c("24:00:00", "23:23:00", "23:00:59", "45:00:00")), class = "data.frame", row.names = c("1", "2", "3", "4")) 会超过一年(约365.25天),则可能需要进行进一步的调整。


数据

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