Hi Thierry Thanks a lot. This is the option I found later.
Still not 100% satisfactory. Maybe somebody did similar task and will have different opinion how to visualise such data. Jim’s gant diagrams are worth consideration so I will try to elaborate it further. Cheers Petr From: Thierry Onkelinx [mailto:thierry.onkel...@inbo.be] Sent: Wednesday, June 24, 2015 1:48 PM To: PIKAL Petr Cc: r-help@r-project.org Subject: Re: [R] time management graph Another option would be to use segments instead of lines. library(lubridate) temp$end <- temp$time + minutes(temp$duration) library(ggplot2) ggplot(temp, aes(x=time, xend = end, y=Typ, yend = Typ, colour=person)) + geom_segment() ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2015-06-24 12:50 GMT+02:00 Jim Lemon <drjimle...@gmail.com<mailto:drjimle...@gmail.com>>: Hi Petr, I'm not exactly sure this is what you are looking for, but try: start_indices<-which(!is.na<http://is.na>(temp$duration)) pp_gantt_info<-list( labels=paste(as.character(temp$person[start_indices]), temp$Akce,temp$Typ,sep="-"), starts=temp$time[start_indices], ends=temp$time[start_indices+1], require(plotrix) vgridpos<-as.POSIXct(strptime( paste("2015-06-23 ",c(16,17,18,19,20,21,22,23),":00:00",sep=""), format="%Y-%m-%d %H:%M:%S")) vgridlab<-paste(c(16,17,18,19,20,21,22,23),":00",sep="") gantt.chart(pp_gantt_info,vgridpos=vgridpos,vgridlab=vgridlab) Jim On Wed, Jun 24, 2015 at 2:05 AM, PIKAL Petr <petr.pi...@precheza.cz<mailto:petr.pi...@precheza.cz>> wrote: > Dear all > > Did anybody tried to do time management graphs in R? > > I could do some aggregation > > xtabs(duration~person+Typ, data=temp) > > but I would like to make also a graph to show which task (Typ) and when was > done by which person. The closest I came till this evening is following > graph, but it is not exactly what I want. > > library(ggplot2) > p<-ggplot(temp, aes(x=time, y=Typ, colour=person)) > p+geom_line() > > If anybody can focus me to proper functions or packages I would be greatful. > > Here are the data. > > temp <- structure(list(Akce = structure(c(16L, 18L, 20L, 13L, 1L, 15L, > 4L, 12L, 8L, 22L, 16L, 15L, 5L, 24L, 13L, 16L, 6L, 1L, 15L, 11L, > 1L, 5L, 24L, 7L, 1L, 10L, 21L, 23L, 3L, 2L, 9L, 14L, 17L, 20L, > 13L, 14L, 19L, 14L, 4L, 1L, 15L, 5L, 24L, 13L, 15L, 1L, 14L, > 11L, 15L, 5L, 24L, 7L, 1L, 10L, 14L, 23L, 3L, 2L, 9L), .Label = c("a", > "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", > "o", "p", "q", "r", "s", "t", "u", "v", "w", "x"), class = "factor"), > Typ = structure(c(4L, 6L, 6L, 6L, 2L, 6L, 6L, 1L, 1L, 8L, > 4L, 6L, 6L, 6L, 6L, 4L, 1L, 2L, 6L, 5L, 2L, 6L, 6L, 6L, 2L, > 3L, 4L, 6L, 7L, 4L, 4L, 7L, 7L, 6L, 6L, 7L, 6L, 7L, 6L, 2L, > 6L, 6L, 6L, 6L, 6L, 2L, 7L, 5L, 6L, 6L, 6L, 6L, 2L, 3L, 7L, > 6L, 7L, 4L, 4L), .Label = c("A", "B", "C", "D", "E", "F", > "G", "H"), class = "factor"), person = structure(c(1L, 1L, > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("One", > "Two"), class = "factor"), time = structure(c(1435038600, > 1435039200, 1435039800, 1435040100, 1435040400, 1435040760, > 1435042200, 1435042680, 1435043220, 1435043400, 1435043700, > 1435044300, 1435044600, 1435045200, 1435046400, 1435046700, > 1435047000, 1435047300, 1435047600, 1435048800, 1435050600, > 1435051200, 1435051800, 1435053300, 1435053900, 1435054500, > 1435060800, 1435061700, 1435062000, 1435064400, 1435068000, > 1435038600, 1435039200, 1435039800, 1435040100, 1435040280, > 1435041060, 1435041600, 1435042200, 1435042800, 1435043400, > 1435044600, 1435045200, 1435046400, 1435047000, 1435047300, > 1435047600, 1435048800, 1435050600, 1435051200, 1435051800, > 1435053300, 1435053900, 1435054500, 1435060800, 1435061700, > 1435062000, 1435065600, 1435068000), class = c("POSIXct", > "POSIXt"), tzone = ""), duration = c(10, 10, 5, 5, 6, 24, > 8, 9, 3, 5, 10, 5, 10, 20, 5, 5, 5, 5, 20, 30, 10, 10, 25, > 10, 10, 105, 15, 5, 40, 60, NA, 10, 10, 5, 3, 13, 9, 10, > 10, 10, 20, 10, 20, 10, 5, 5, 20, 30, 10, 10, 25, 10, 10, > 105, 15, 5, 60, 40, NA)), .Names = c("Akce", "Typ", "person", > "time", "duration"), class = "data.frame", row.names = c(NA, > -59L)) >> > > Best regards > Petr > > > ________________________________ > Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou > určeny pouze jeho adresátům. > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě neprodleně > jeho odesílatele. 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