Dear Stephen, It is much easier to do you data preparation before plotting.
Cummul <- ddply(subset(DF, precipitation!="NA"), "gauge_name", function(x){ x$Cummul <- cumsum(x$precipitation) x }) ggplot(Cummul, aes(x = date_time, y = Cummul)) + geom_line() + facet_wrap(~gauge_name, scales="free_y") HTH, Thierry ------------------------------------------------------------------------ ---- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 thierry.onkel...@inbo.be www.inbo.be 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 -----Oorspronkelijk bericht----- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens stephen sefick Verzonden: dinsdag 6 oktober 2009 16:07 Aan: r-help@r-project.org Onderwerp: [R] ggplot cumsum refined question (?) OK, so maybe last night was a little too much at one throw, so I have reduced the data to two stations- one that has precipitation and one that does not. This is going to be in the context of a larger data set. I would like to be able to issue a ggplot command and have cum sum just act on the facets (factors) to apply this. library(chron) library(ggplot2) DF <- structure(list(date_time = structure(c(14522, 14522.0104166667, 14522.0208333333, 14522.03125, 14522.0416666667, 14522.0520833333, 14522.0625, 14522.0729166667, 14522.0833333333, 14522.09375, 14522.1041666667, 14522.1145833333, 14522.125, 14522.1354166667, 14522.1458333333, 14522.15625, 14522.1666666667, 14522.1770833333, 14522.1875, 14522.1979166667, 14522.2083333333, 14522.21875, 14522.2291666667, 14522.2395833333, 14522.25, 14522.2604166667, 14522.2708333333, 14522.28125, 14522.2916666667, 14522.3020833333, 14522.3125, 14522.3229166667, 14522.3333333333, 14522.34375, 14522.3541666667, 14522.3645833333, 14522.375, 14522.3854166667, 14522.3958333333, 14522.40625, 14522.4166666667, 14522.4270833333, 14522.4375, 14522.4479166667, 14522.4583333333, 14522.46875, 14522.4791666667, 14522.4895833333, 14522.5, 14522.5104166667, 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24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L), .Label = c("00:00", "00:15", "00:30", "00:45", "01:00", "01:15", "01:30", "01:45", "02:00", "02:15", "02:30", "02:45", "03:00", "03:15", "03:30", "03:45", "04:00", "04:15", "04:30", "04:45", "05:00", "05:15", "05:30", "05:45", "06:00", "06:15", "06:30", "06:45", "07:00", "07:15", "07:30", "07:45", "08:00", "08:15", "08:30", "08:45", "09:00", "09:15", "09:30", "09:45", "10:00", "10:15", "10:30", "10:45", "11:00", "11:15", "11:30", "11:45", "12:00", "12:15", "12:30", "12:45", "13:00", "13:15", "13:30", "13:45", "14:00", "14:15", "14:30", "14:45", "15:00", "15:15", "15:30", "15:45", "16:00", "16:15", "16:30", "16:45", "17:00", "17:15", "17:30", "17:45", "18:00", "18:15", "18:30", "18:45", "19:00", "19:15", "19:30", "19:45", "20:00", "20:15", "20:30", "20:45", "21:00", "21:15", "21:30", "21:45", "22:00", "22:15", "22:30", "22:45", "23:00", "23:15", "23:30", "23:45"), class = "factor"), gauge_height = c(0.75, 0.75, 0.75, 0.75, 0.74, 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6.31, 6.31, 6.31, 6.31, 6.32, 6.32, 6.31, 6.31, 6.32, 6.31, 6.32, 6.32, 6.32, 6.32, 6.32, 6.32, 6.32, 6.31, 6.32, 6.31, 6.32, 6.33, 6.32, 6.33, 6.33, 6.33, 6.32, 6.32, 6.32, 6.33, 6.33, 6.33, 6.33, 6.33, 6.33, 6.33, 6.33, 6.34, 6.33, 6.33, 6.34, 6.34, 6.34, 6.34, 6.35, 6.34, 6.33, 6.35, 6.35, 6.34, 6.34, 6.35, 6.34, 6.35, 6.36, 6.35, 6.36, 6.35, 6.36, 6.36, 6.36, 6.35, 6.36, 6.35, 6.36, 6.36, 6.36, 6.35, 6.36, 6.36, 6.36, 6.36, 6.36, 6.36, 6.35, 6.36, 6.36, 6.36, 6.37, 6.37, 6.37, 6.36, 6.36, 6.36, 6.37, 6.36, 6.37, 6.37, 6.37, 6.38 ), discharge = c(4.6, 4.6, 4.6, 4.6, 4.4, 4.4, 4.4, 4.4, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.6, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 4.9, 5.1, 5.1, 5.1, 5.1, 5.4, 5.4, 5.4, 5.4, 5.6, 5.6, 5.6, 5.6, 5.9, 5.9, 5.9, 5.9, 6.2, 6.2, 6.2, 6.4, 6.4, 6.7, 6.7, 6.7, 7, 7, 7, 7, 7.2, 7.2, 7.2, 7.2, 7.5, 7.5, 7.5, 7.5, 7.5, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 7.8, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.1, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.4, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.7, 8.9, 8.9, 8.9, 8.9, 8.9, 8.9, 8.9, 8.9, 8.9, 8.9, 8.9, 4290, 4290, 4290, 4300, 4300, 4300, 4300, 4300, 4300, 4300, 4300, 4300, 4300, 4310, 4310, 4310, 4310, 4310, 4310, 4320, 4320, 4320, 4330, 4330, 4320, 4330, 4330, 4330, 4340, 4330, 4340, 4340, 4330, 4340, 4330, 4340, 4330, 4330, 4340, 4340, 4340, 4340, 4340, 4340, 4350, 4350, 4340, 4340, 4350, 4340, 4350, 4350, 4350, 4350, 4350, 4350, 4350, 4340, 4350, 4340, 4350, 4360, 4350, 4360, 4360, 4360, 4350, 4350, 4350, 4360, 4360, 4360, 4360, 4360, 4360, 4360, 4360, 4370, 4360, 4360, 4370, 4370, 4370, 4370, 4380, 4370, 4360, 4380, 4380, 4370, 4370, 4380, 4370, 4380, 4390, 4380, 4390, 4380, 4390, 4390, 4390, 4380, 4390, 4380, 4390, 4390, 4390, 4380, 4390, 4390, 4390, 4390, 4390, 4390, 4380, 4390, 4390, 4390, 4400, 4400, 4400, 4390, 4390, 4390, 4400, 4390, 4400, 4400, 4400, 4410), precipitation = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0, 0, 0.01, 0, 0, 0.02, 0.02, 0.02, 0.01, 0.01, 0, 0, 0, 0.02, 0, 0.01, 0, 0, 0.01, 0.01, 0.03, 0, 0, 0.03, 0.01, 0.01, 0.01, 0, 0.01, 0, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0.01, 0.01, 0, 0.01, 0, 0.01, 0, 0.01, 0.01, 0.01, 0.01, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0.01, 0.01, 0, 0.01, 0, 0, 0, 0, 0, 0, 0, 0.01, 0.02, 0, 0.01, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0, 0, 0.01, 0.01, 0.01, 0.01, 0.01, 0, 0, 0, 0, 0.01, 0.01, 0, 0, 0, 0, 0, 0, 0.01, 0.04, 0.04, 0.03, 0, 0.02, 0.01, 0.02, 0, 0, 0.01, 0.03, 0.01, 0, 0, 0.01, 0, 0.01, 0.02, 0, 0.02, 0.02, 0.01, 0.01, 0.02, 0, 0.01, 0, 0, 0.01, 0, 0, 0.03, 0.01, 0, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0.01, 0.02, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), gauge_name = 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, 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, 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, 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, 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, 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, 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, 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, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("FLAT CREEK NEAR INVERNESS, NC", "SAVANNAH RIVER NEAR WAYNESBORO, GA"), class = "factor")), .Names = c("date_time", "gauge", "agency", "date", "time", "gauge_height", "discharge", "precipitation", "gauge_name"), row.names = c(NA, -266L), class = "data.frame") qplot(as.POSIXct(date_time), precipitation, data=subset(DF, precipitation!="NA"), geom="line")+facet_wrap(~gauge_name, scales="free_y") #if I issue: qplot(as.POSIXct(date_time), cumsum(precipitation), data=subset(DF, precipitation!="NA"), geom="line")+facet_wrap(~gauge_name, scales="free_y") #ggplot will plot the total cumulative sum and not the sum based no the facet(factor) I am trying to plot it by. #check with cumsum(DF[,"precipitation"]) thanks for any help, -- Stephen Sefick Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Druk dit bericht a.u.b. niet onnodig af. Please do not print this message unnecessarily. Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.