[英]Subset a dataframe based on time variable
I have the following dataframe which is already a subset of a much larger dataframe: 我有以下数据框,它已经是更大数据框的子集:
Time X.N2O._ppm
1 15/05/2015 13:30:07.291 0.03941801
2 15/05/2015 13:30:08.307 0.01014003
3 15/05/2015 13:30:09.323 0.02577801
4 15/05/2015 13:30:10.338 0.02554231
5 15/05/2015 13:30:11.354 0.02489800
6 15/05/2015 13:30:12.370 0.02417584
7 15/05/2015 13:30:13.386 0.02489115
8 15/05/2015 13:30:14.402 0.02524912
9 15/05/2015 13:30:15.417 0.02556182
10 15/05/2015 13:30:16.433 0.02574274
I'm trying to subset based on the Time variable but get the following error: 我正在尝试基于Time变量进行子集化,但出现以下错误:
subtime = subset(datasubcolrow, "Time" < 15/05/2015 13:30:15.417)
Error: unexpected numeric constant in "subtime = subset(datasubcolrow, "Time" < 15/05/2015 13"
Checking data types shows that Time is numeric: 检查数据类型显示时间是数字:
sapply(datasubcolrow, mode)
Time X.N2O._ppm
"numeric" "numeric"
Do I need to convert it into a date format and how to I go about doing this? 我是否需要将其转换为日期格式,该如何进行?
Thanks 谢谢
Rory 罗里
You can change the 'Time' column to 'POSIXct' class and then subset 您可以将“时间”列更改为“ POSIXct”类,然后将其子集
datasubcolrow$Time <- as.POSIXct(datasubcolrow$Time, format='%d/%m/%Y %H:%M:%OS')
subset(datasubcolrow, Time < as.POSIXct('15/05/2015 13:30:15.417',
format='%d/%m/%Y %H:%M:%OS'))
datasubcolrow <- structure(list(Time = c("15/05/2015 13:30:07.291",
"15/05/2015 13:30:08.307",
"15/05/2015 13:30:09.323", "15/05/2015 13:30:10.338",
"15/05/2015 13:30:11.354",
"15/05/2015 13:30:12.370", "15/05/2015 13:30:13.386",
"15/05/2015 13:30:14.402",
"15/05/2015 13:30:15.417", "15/05/2015 13:30:16.433"),
X.N2O._ppm = c(0.03941801,
0.01014003, 0.02577801, 0.02554231, 0.024898, 0.02417584, 0.02489115,
0.02524912, 0.02556182, 0.02574274)), .Names = c("Time", "X.N2O._ppm"
), class = "data.frame", row.names = c("1", "2", "3", "4", "5",
"6", "7", "8", "9", "10"))
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.