StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
text
Body
copied!<p>Here's a way to do that:</p> <pre><code>Date <- c("2009-05-1 10:00:00","2009-05-1 10:05:00","2009-05-1 10:10:00","2009-05-1 10:15:00","2009-05-1 10:20:00","2009-05-1 10:25:00") Dates <- strptime(Date, "%Y-%m-%d %H:%M:%S") DF <- data.frame(Dates,X=1:6, Y=1:6) DF2 <- merge(DF,data.frame(Dates=DF$Dates - 5 * 60, YNext=DF$Y),by='Dates',all.x=T,all.y=F) DF3 <- merge(DF2,data.frame(Dates=seq(from=min(DF2$Dates),to=max(DF2$Dates),by='1 min')),by='Dates',all=TRUE) tmpFun <- function(d){ d$X <- na.omit(d$X)[1] d$Y <- ifelse(is.na(d$Y),(na.omit(d$Y)[1] + na.omit(d$YNext)[1]) / 2,d$Y) return(d) } DF4 <- do.call(rbind,by(DF3,INDICES=(as.POSIXlt(DF3$Dates)$min %/% 5),FUN=tmpFun)) # "beautify" the data.frame (set the row names, and remove the YNext column) row.names(DF4) <- 1:nrow(DF4) DF4$YNext <- NULL </code></pre> <p>Result:</p> <pre><code>> DF4 Dates X Y 1 2009-05-01 10:00:00 1 1.0 2 2009-05-01 10:01:00 1 1.5 3 2009-05-01 10:02:00 1 1.5 4 2009-05-01 10:03:00 1 1.5 5 2009-05-01 10:04:00 1 1.5 6 2009-05-01 10:05:00 2 2.0 7 2009-05-01 10:06:00 2 2.5 8 2009-05-01 10:07:00 2 2.5 9 2009-05-01 10:08:00 2 2.5 10 2009-05-01 10:09:00 2 2.5 11 2009-05-01 10:10:00 3 3.0 12 2009-05-01 10:11:00 3 3.5 13 2009-05-01 10:12:00 3 3.5 14 2009-05-01 10:13:00 3 3.5 15 2009-05-01 10:14:00 3 3.5 16 2009-05-01 10:15:00 4 4.0 17 2009-05-01 10:16:00 4 4.5 18 2009-05-01 10:17:00 4 4.5 19 2009-05-01 10:18:00 4 4.5 20 2009-05-01 10:19:00 4 4.5 21 2009-05-01 10:20:00 5 5.0 22 2009-05-01 10:21:00 5 5.5 23 2009-05-01 10:22:00 5 5.5 24 2009-05-01 10:23:00 5 5.5 25 2009-05-01 10:24:00 5 5.5 26 2009-05-01 10:25:00 6 6.0 </code></pre>

Querying!

Guidance

An individual column

Larger individual text columns get their own page to allow for proper reading.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload