[R] ggplot cumsum refined question (?)
ONKELINX, Thierry
Thierry.ONKELINX at inbo.be
Tue Oct 6 16:24:02 CEST 2009
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.Onkelinx at 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-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens stephen sefick
Verzonden: dinsdag 6 oktober 2009 16:07
Aan: r-help at 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,
14522.5208333333, 14522.53125, 14522.5416666667, 14522.5520833333,
14522.5625, 14522.5729166667, 14522.5833333333, 14522.59375,
14522.6041666667, 14522.6145833333, 14522.625, 14522.6354166667,
14522.6458333333, 14522.65625, 14522.6666666667, 14522.6770833333,
14522.6875, 14522.6979166667, 14522.7083333333, 14522.71875,
14522.7291666667, 14522.7395833333, 14522.75, 14522.7604166667,
14522.7708333333, 14522.78125, 14522.7916666667, 14522.8020833333,
14522.8125, 14522.8229166667, 14522.8333333333, 14522.84375,
14522.8541666667, 14522.8645833333, 14522.875, 14522.8854166667,
14522.8958333333, 14522.90625, 14522.9166666667, 14522.9270833333,
14522.9375, 14522.9479166667, 14522.9583333333, 14522.96875,
14522.9791666667, 14522.9895833333, 14523, 14523.0104166667,
14523.0208333333, 14523.03125, 14523.0416666667, 14523.0520833333,
14523.0625, 14523.0729166667, 14523.0833333333, 14523.09375,
14523.1041666667, 14523.1145833333, 14523.125, 14523.1354166667,
14523.1458333333, 14523.15625, 14523.1666666667, 14523.1770833333,
14523.1875, 14523.1979166667, 14523.2083333333, 14523.21875,
14523.2291666667, 14523.2395833333, 14523.25, 14523.2604166667,
14523.2708333333, 14523.28125, 14523.2916666667, 14523.3020833333,
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14523.3541666667, 14523.3645833333, 14523.375, 14523.3854166667,
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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, 14522.5208333333,
14522.53125, 14522.5416666667, 14522.5520833333, 14522.5625,
14522.5729166667, 14522.5833333333, 14522.59375, 14522.6041666667,
14522.6145833333, 14522.625, 14522.6354166667, 14522.6458333333,
14522.65625, 14522.6666666667, 14522.6770833333, 14522.6875,
14522.6979166667, 14522.7083333333, 14522.71875, 14522.7291666667,
14522.7395833333, 14522.75, 14522.7604166667, 14522.7708333333,
14522.78125, 14522.7916666667, 14522.8020833333, 14522.8125,
14522.8229166667, 14522.8333333333, 14522.84375, 14522.8541666667,
14522.8645833333, 14522.875, 14522.8854166667, 14522.8958333333,
14522.90625, 14522.9166666667, 14522.9270833333, 14522.9375,
14522.9479166667, 14522.9583333333, 14522.96875, 14522.9791666667,
14522.9895833333, 14523, 14523.0104166667, 14523.0208333333,
14523.03125, 14523.0416666667, 14523.0520833333, 14523.0625,
14523.0729166667, 14523.0833333333, 14523.09375, 14523.1041666667,
14523.1145833333, 14523.125, 14523.1354166667, 14523.1458333333,
14523.15625, 14523.1666666667, 14523.1770833333, 14523.1875,
14523.1979166667, 14523.2083333333, 14523.21875, 14523.2291666667,
14523.2395833333, 14523.25, 14523.2604166667, 14523.2708333333,
14523.28125, 14523.2916666667, 14523.3020833333, 14523.3125,
14523.3229166667, 14523.3333333333, 14523.34375), format =
structure(c("m/d/y",
"h:m:s"), .Names = c("dates", "times")), origin = structure(c(1,
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6.28, 6.29, 6.29, 6.29, 6.3, 6.3, 6.29, 6.3, 6.3, 6.3, 6.31,
6.3, 6.31, 6.31, 6.3, 6.31, 6.3, 6.31, 6.3, 6.3, 6.31, 6.31,
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
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