Drawing Gantt charts with R to sub-second accuracy -


slightly bizarre request, know, bear me.

i have excel spreadsheet logging data taken highly parallelised bit of server-side code. i'm trying analyse there may gaps in logs, indicating tasks should logged aren't; because it's serial, timestamp-order list of dozen or parallel threads it's quite hard read. had unorthodox idea of using gantt chart visualise overlapping tasks. excel terrible @ this, started looking @ alternative tools, , thought of trying r.

each task in log has start timestamp, , end timestamp, , duration, have data need. read this post , mutilated example r script:

tasks <- c("task1", "task2") dfr <- data.frame(   name        = factor(tasks, levels = tasks),   start.date  = c("07/08/2013 09:03:25.815", "07/08/2013 09:03:25.956"),   end.date    = c("07/08/2013 09:03:28.300", "07/08/2013 09:03:30.409"),   is.critical = c(true, true) )  mdfr <- melt(dfr, measure.vars = c("start.date", "end.date"))  ggplot(mdfr, aes(as.date(value, "%d/%m/%y %h:%m:%os"), name, colour = is.critical)) +    geom_line(size = 6) +   xlab("") + ylab("") +   theme_bw()

this doesn't work, though -- doesn't plot data, , time axis messed up. suspect (unsurprisingly) plotting sub-second gantt charts weird thing do. i'm complete r newbie (although i've been looking excuse try out ages) -- there simple way make work?

first, time should in posixct format not date contains hours , minutes. can add new column melted dataframe correct format.

mdfr$time<-as.posixct(strptime(mdfr$value, "%d/%m/%y %h:%m:%os"))

then scale_x_datetime() can control breaks on axis. x values use new column correct format.

library(scales) ggplot(mdfr, aes(time,name, colour = is.critical)) +    geom_line(size = 6) +   xlab("") + ylab("") +   theme_bw()+   scale_x_datetime(breaks=date_breaks("2 sec"))

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