问题
This is a problem that comes up often when I am importing raw data from data loggers. A temperature logger is set to record temperature every ten minutes, and a separate gas logger is set to record gas used in the last ten minute interval. I want to combine the data from these two loggers into a single data frame for plotting and analysis, but the times are not exactly aligned. I want to have one row in the data frame for each ten minute period, with the datetime showing the beginning of the time period.
The temperature logger data looks like:
datetime temperature 2010-09-30 06:58:53 78.996 2010-09-30 07:08:53 78.645 2010-09-30 07:18:53 78.514 2010-09-30 07:28:53 79.173 2010-09-30 07:38:53 78.602
The gas logger data looks like:
datetime gas 2010-09-30 13:45:00 0 2010-09-30 13:55:00 1 2010-09-30 14:05:00 0 2010-09-30 14:15:00 4 2010-09-30 14:25:00 2
I want to combine the two data frames on ten minute intervals, so that the combined data looks like:
datetime temperature gas 2010-09-30 13:40:00 NA 0 2010-09-30 13:50:00 78.996 1 2010-09-30 14:00:00 78.645 0 2010-09-30 14:10:00 78.514 4 2010-09-30 14:20:00 79.173 2 2010-09-30 07:38:53 78.602 NA
Here's some code to get these two data frames:
temps <- data.frame(datetime=c("2010-09-30 06:58:53",
"2010-09-30 07:08:53","2010-09-30 07:18:53",
"2010-09-30 07:28:53","2010-09-30 07:38:53"),
temperature=c(78.996,78.645,78.514,79.173,78.602),
stringsAsFactors=FALSE)
temps$datetime <- strptime(temps$datetime, format="%Y-%m-%d %H:%M:%S")
gas <- data.frame(datetime=c("2010-09-30 13:45:00",
"2010-09-30 13:55:00","2010-09-30 14:05:00",
"2010-09-30 14:15:00","2010-09-30 14:25:00"),
gas=c(0,1,0,4,2),stringsAsFactors=FALSE)
gas$datetime <- strptime(temps$datetime, format="%Y-%m-%d %H:%M:%S")
回答1:
Use align.time
in xts.
library(xts)
xTemps <- align.time(xts(temps[,2],as.POSIXct(temps[,1])), n=600)
xGas <- align.time(xts(gas[,2],as.POSIXct(gas[,1])), n=600)
merge(xTemps,xGas)
回答2:
Use either one of zoo or xts to hold your data -- their merge()
function will do this for you. You can look for previous answers here. The zoo documentation has also lots of relevant examples.
Here is a mock-up example:
> set.seed(42)
> temps <- zoo(78+rnorm(5),
+ order.by=ISOdatetime(2010,9,30,6,58,53)+cumsum(60*runif(5)))
> gas <- zoo(sample(1:5,5),
+ order.by=ISOdatetime(2010,9,30,6,58,53)+cumsum(60*runif(5)))
> merge(temps,gas)
temps gas
2010-09-30 06:59:47 78.048 NA
2010-09-30 06:59:49 NA 5
2010-09-30 07:00:44 76.895 NA
2010-09-30 07:00:48 NA 1
2010-09-30 07:00:55 NA 3
2010-09-30 07:01:01 78.539 NA
2010-09-30 07:01:23 NA 2
2010-09-30 07:01:51 78.580 NA
2010-09-30 07:01:57 NA 4
2010-09-30 07:02:29 77.342 NA
> na.locf(merge(temps,gas))
temps gas
2010-09-30 06:59:49 78.048 5
2010-09-30 07:00:44 76.895 5
2010-09-30 07:00:48 76.895 1
2010-09-30 07:00:55 76.895 3
2010-09-30 07:01:01 78.539 3
2010-09-30 07:01:23 78.539 2
2010-09-30 07:01:51 78.580 2
2010-09-30 07:01:57 78.580 4
2010-09-30 07:02:29 77.342 4
>
来源:https://stackoverflow.com/questions/4139032/how-do-i-match-data-frames-by-time-intervals