ggplot2在重塑数据中的geom_errorbar

在data.frame追加我想趋势设备的灵敏度在2个距离与测量t日期，由监视器facetted。这在ggplot2中非常简单。先融化的数据usinge的reshape2包ggplot2在重塑数据中的geom_errorbar

data.melt <- melt(big_df[,c(1:3,6)],id=c("Date","Monitor"))

然后用GGPLOT2

ggplot(data.melt, aes(x=Date, y=value, col=variable)) + geom_point() + facet_wrap(~Monitor)

我也想geom_errorbar添加到这些点。我遇到的问题是50厘米和100厘米测量的误差线不同，我不确定如何定义极限。即如果variable = Sensitivity.100cm将限制设置为value+/-Error.100cm并且对于variable = Sensitivity.50cmlimits = value+/-Error.50cm。我如何才能最好地完成这项任务？

structure(list(Date = c("18/10/2012", "19/10/2012", "22/10/2012", 
"23/10/2012", "23/10/2012", "26/10/2012", "29/10/2012", "31/10/2012", 
"11/01/2012", "11/02/2012", "11/06/2012", "11/08/2012", "11/09/2012", 
"20/11/2012", "27/11/2012", "18/12/2012", "14/01/2012", "23/01/2013", 
"18/01/2013", "16/02/2013", "23/04/2013", "30/04/2013", "07/05/2013", 
"14/05/2013", "21/05/2013", "17/10/2012", "18/10/2012", "19/10/2012", 
"22/10/2012", "23/10/2012", "24/10/2012", "26/10/2012", "29/10/2012", 
"31/10/2012", "11/01/2012", "11/02/2012", "11/06/2012", "11/08/2012", 
"11/09/2012", "20/11/2012", "27/11/2012", "18/12/2012", "14/01/2013", 
"23/01/2013", "18/02/2013", "16/02/2013", "14/04/2013", "30/04/2013", 
"07/05/2013", "14/05/2013", "21/05/2013", "16/10/2012", "18/10/2012", 
"19/10/2012", "22/10/2012", "23/10/2012", "24/10/2012", "26/10/2012", 
"29/10/2012", "31/10/2012", "31/10/2012", "01/11/2012", "02/11/2012", 
"06/11/2012", "08/11/2012", "09/11/2012", "20/11/2012", "27/11/2012", 
"18/12/2012", "14/01/2013", "23/01/2013", "18/02/2013", "16/04/2013", 
"23/04/2013", "30/04/2013", "07/05/2013", "14/05/2013", "21/05/2013", 
"16/04/2013", "23/04/2013", "30/04/2013", "07/05/2013", "14/05/2013", 
"21/05/2013", "16/04/2013", "23/04/2013", "30/04/2013", "07/05/2013", 
"14/05/2013", "21/05/2013"), Sensitivity.100cm = c(23.9310344827586, 
23.6792452830189, 23.0708661417323, 23.75, 31.3333333333333, 
25.1351351351351, 25.9770114942529, 24.5192307692308, 25.4347826086957, 
22.987012987013, 23.1451612903226, 22.4822695035461, 23.4375, 
23.9495798319328, 23.5245901639344, 24.041095890411, 25.4198473282443, 
23.9097744360902, 25.8536585365854, 26.1940298507463, 28.0794701986755, 
26.4041095890411, 24.3875968992248, 24.7019867549669, 26.4383561643836, 
21.2328767123288, 23.5172413793103, 24.0566037735849, 30.7874015748032, 
23.1111111111111, 29.5, 23.0405405405405, 26.2068965517241, 25, 
24.3478260869565, 23.5064935064935, 22.0161290322581, 23.468085106383, 
22.8125, 25.3781512605042, 22.2131147540984, 24.7945205479452, 
23.6923076923077, 24.1353383458647, 25.2439024390244, 26.9402985074627, 
27.9470198675497, 23.8835616438356, 25.3798449612403, 25.0331125827815, 
25.7534246575342, 31.1627906976744, 30.6896551724138, 28.7735849056604, 
29.7637795275591, 28.5294117647059, 40, 29.7972972972973, 33.448275862069, 
33.4653465346535, 33.4653465346535, 36.9565217391304, 31.4285714285714, 
30.8870967741935, 28.5106382978723, 29.0625, 29.4117647058824, 
31.3934426229508, 33.5616438356164, 29.0151515151515, 30.8270676691729, 
29.6341463414634, 34.3283582089552, 32.7152317880795, 37.2602739726027, 
38.2945736434108, 35.8940397350993, 33.5616438356164, 40.5223880597015, 
36.0264900662252, 33.8356164383562, 34.4186046511628, 36.158940397351, 
33.7671232876712, 36.7910447761194, 36.0264900662252, 33.8356164383562, 
30.5426356589147, 36.158940397351, 33.7671232876712), Sensitivity.50cm = c(89.448275862069, 
89.4339622641509, 88.0314960629921, 88.4558823529412, 94.6666666666667, 
85.9459459459459, 92.2988505747126, 93.6538461538461, 91.5217391304348, 
88.2467532467532, 98.1451612903226, 85.6028368794326, 88.28125, 
90, 85.655737704918, 87.7397260273973, 88.7786259541985, 90.8270676691729, 
92.1341463414634, 89.6268656716418, 96.6887417218543, 91.1986301369863, 
89.7364341085271, 87.0198675496689, 90.4794520547945, 80.8219178082192, 
83.8620689655172, 85.188679245283, 82.992125984252, 88.1481481481482, 
93.3333333333333, 87.9054054054054, 90.6896551724138, 89.3269230769231, 
89.1304347826087, 90.1298701298701, 82.9032258064516, 82.6879432624114, 
87.265625, 88.8235294117647, 87.7868852459016, 90.5479452054795, 
91.7692307692308, 83.5338345864662, 92.0121951219512, 94.1044776119403, 
88.0132450331126, 90.8013698630137, 89.7984496124031, 87.6158940397351, 
88.2191780821918, 116.434108527132, 110, 116.509433962264, 112.44094488189, 
110.147058823529, 123.333333333333, 107.5, 119.655172413793, 
127.524752475248, 127.524752475248, 118.478260869565, 96.3636363636364, 
112.338709677419, 105.815602836879, 116.5625, 116.806722689076, 
118.27868852459, 129.452054794521, 113.106060606061, 115.789473684211, 
115, 133.582089552239, 132.05298013245, 136.575342465753, 154.573643410853, 
118.675496688742, 122.602739726027, 133.805970149254, 132.05298013245, 
136.575342465753, 154.573643410853, 132.185430463576, 136.506849315069, 
133.805970149254, 132.05298013245, 136.575342465753, 154.573643410853, 
132.185430463576, 136.506849315069), Error.100cm = c(1.3139695781557, 
1.56444565582802, 1.40192864683188, 1.36970117722038, 1.67497927018681, 
1.33092672997245, 1.78068199825628, 1.60608587389328, 1.71862916313499, 
1.29219147676184, 1.40378186980074, 1.29420479368047, 1.39754248593737, 
1.46276430130498, 1.42679468733846, 1.31571045974648, 1.42197984810665, 
1.39046932397796, 1.30208271366236, 1.4335352770372, 1.39230437361779, 
1.37754694254238, 1.41544528946403, 1.3095178763765, 1.37669529056451, 
1.81215843223602, 1.30671002217217, 1.60377358490566, 1.7304929902233, 
1.34969386357693, 1.63724022536571, 1.28022265685787, 1.79545969561073, 
1.60896158948861, 1.69788036432753, 1.30840530387077, 1.36621567307237, 
1.32512183966048, 1.37108818553002, 1.49853399160731, 1.39344262295082, 
1.33165904761805, 1.38033526499434, 1.40462719490747, 1.28772634645993, 
1.45283002492028, 1.38599003552691, 1.31267619160706, 1.44319351564034, 
1.32118790352715, 1.35955022200543, 1.5848874651365, 1.47108475915183, 
1.72669860544558, 1.61753059717907, 1.49248405369003, 1.86338998124982, 
1.44758684362355, 2.02050526795942, 1.88379184063767, 1.88379184063767, 
2.06235499576199, 1.47504112877929, 1.60684345525575, 1.45000342555042, 
1.53888403153064, 1.61641882871188, 1.63318515124355, 1.54679312200496, 
1.50945900342207, 1.55913092882163, 1.38241268887252, 1.63499270897065, 
1.48969826214596, 1.61504467432214, 1.74375533010884, 1.56437242530036, 
1.54679312200496, 1.76125727182178, 1.56156637384789, 1.54071532591808, 
1.65536096930718, 1.55875527098541, 1.54223702043804, 1.68034779838772, 
1.56156637384789, 1.54071532591808, 1.56197222322557, 1.55875527098541, 
1.54223702043804), Error.50cm = c(2.49898909406806, 2.94121835247545, 
2.66090476357729, 2.57562939531426, 2.84312035153866, 2.42491330336843, 
3.28542665010493, 3.03760942287141, 3.183873590408, 2.43051523015752, 
2.83178223646443, 2.48024233333982, 2.64934764965831, 2.77310924369748, 
2.66991761883645, 2.46860565629316, 2.61888806082572, 2.63908703380214, 
2.39518528553687, 2.6055358582233, 2.54601096513127, 2.51706504452232, 
2.65881302492679, 2.41699173389333, 2.50632526897698, 3.38331206444616, 
2.42264387175866, 2.88777884245547, 2.66556076847414, 2.57667068606312, 
2.82842712474619, 2.45392159423444, 3.26120941588761, 2.96210034629795, 
3.15029929264988, 2.45725817252266, 2.60322780509177, 2.44047901652299, 
2.62969260620419, 2.75266207632928, 2.70491803278689, 2.50538919974957, 
2.67245427169849, 2.53752436551672, 2.39363249102323, 2.66888876749965, 
2.42875772462149, 2.51128061073898, 2.6601687552902, 2.42695128500777, 
2.47524808213598, 3.02027282771754, 2.76292767227726, 3.35536212146769, 
3.02099623515762, 2.86858958869576, 3.22748612183951, 2.71029339461238, 
3.74049197592482, 3.5862911438168, 3.5862911438168, 3.62137635846906, 
2.52830160180932, 3.02499989250178, 2.75411175020533, 3.03382622483556, 
3.15545938748212, 3.12874339081841, 2.99339361416605, 2.94091650663359, 
2.96968686588444, 2.66763937246675, 3.1749324456989, 2.96611863265678, 
3.06769803788475, 3.47196832194708, 2.81593266562507, 2.91397909399762, 
3.17230019504959, 2.96611863265678, 3.06769803788475, 3.47196832194708, 
2.96463964047674, 3.06846257323317, 3.17230019504959, 2.96611863265678, 
3.06769803788475, 3.47196832194708, 2.96463964047674, 3.06846257323317 
), Monitor = c("Berthold Red", "Berthold Red", "Berthold Red", 
"Berthold Red", "Berthold Red", "Berthold Red", "Berthold Red", 
"Berthold Red", "Berthold Red", "Berthold Red", "Berthold Red", 
"Berthold Red", "Berthold Red", "Berthold Red", "Berthold Red", 
"Berthold Red", "Berthold Red", "Berthold Red", "Berthold Red", 
"Berthold Red", "Berthold Red", "Berthold Red", "Berthold Red", 
"Berthold Red", "Berthold Red", "Berthold Blue", "Berthold Blue", 
"Berthold Blue", "Berthold Blue", "Berthold Blue", "Berthold Blue", 
"Berthold Blue", "Berthold Blue", "Berthold Blue", "Berthold Blue", 
"Berthold Blue", "Berthold Blue", "Berthold Blue", "Berthold Blue", 
"Berthold Blue", "Berthold Blue", "Berthold Blue", "Berthold Blue", 
"Berthold Blue", "Berthold Blue", "Berthold Blue", "Berthold Blue", 
"Berthold Blue", "Berthold Blue", "Berthold Blue", "Berthold Blue", 
"NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", 
"NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", 
"NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", 
"NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "NC 61", "Mini Red", 
"Mini Red", "Mini Red", "Mini Red", "Mini Red", "Mini Red", "Mini Blue", 
"Mini Blue", "Mini Blue", "Mini Blue", "Mini Blue", "Mini Blue" 
)), .Names = c("Date", "Sensitivity.100cm", "Sensitivity.50cm", 
"Error.100cm", "Error.50cm", "Monitor"), class = "data.frame", row.names = c(NA, 
90L))

来源

2013-05-22 moadeep

library(reshape2) 
data.melt <- melt(big_df[,c(1:3,6)],id=c("Date","Monitor")) 
data.melt2 <- melt(big_df[,c(1,4:6)],id=c("Date","Monitor")) 

levels(data.melt2$variable) <- levels(data.melt$variable) 

data.melt <- merge(data.melt,data.melt2,by=c("Date","Monitor","variable")) 

library(ggplot2) 
ggplot(data.melt, aes(x=Date, y=value.x, col=variable)) + 
    geom_point() + 
    geom_errorbar(aes(ymin=value.x-value.y,ymax=value.x+value.y)) + 
    facet_wrap(~Monitor)

来源

2013-05-22 10:21:05 Roland

感谢您的回答。当我尝试按日期格式化X轴时，我得到了错误信息：'Error：错误：错误：无效的输入：date_trans只与Date类的对象一起工作。我早已在'big_df $ Date < - strftime（strptime（big_df $ Date，“％Y-％m-％d”），“％d /％m /％Y”）上设置了Date迄今为止的类。有任何想法吗？ – moadeep

'strftime'返回一个不是日期的字符向量。 'strptime'返回一个POSIXlt向量。 'as.Date'返回Date类的对象。 – Roland

一种解决方法是制作两个融化的数据帧 - 一个用于错误值。在第二个melt()函数中更改了value.name=到value2以具有不同的名称。

data.melt1 <- melt(big_df[,c(1:3,6)],id=c("Date","Monitor")) 
data.melt2 <- melt(big_df[,c(1,4,5,6)],id=c("Date","Monitor"),value.name="value2")

现在放在一起的第一个数据帧与第二个数据帧的value2列。

data.tog<-cbind(data.melt1,data.melt2["value2"]) 

head(data.tog) 
     Date  Monitor   variable value value2 
1 18/10/2012 Berthold Red Sensitivity.100cm 23.93103 1.313970 
2 19/10/2012 Berthold Red Sensitivity.100cm 23.67925 1.564446 
3 22/10/2012 Berthold Red Sensitivity.100cm 23.07087 1.401929 
4 23/10/2012 Berthold Red Sensitivity.100cm 23.75000 1.369701 
5 23/10/2012 Berthold Red Sensitivity.100cm 31.33333 1.674979 
6 26/10/2012 Berthold Red Sensitivity.100cm 25.13514 1.330927

在geom_errorbar()使用value+value2和value-value2设置ymax和ymin。

ggplot(data.tog, aes(x=Date, y=value, col=variable)) + 
    geom_point() + 
    geom_errorbar(aes(ymin=value-value2,ymax=value+value2))+facet_wrap(~Monitor)

来源

2013-05-22 10:16:34

我不认为你可以在这里使用'cbind'，因为熔化data.frames的排序是不同的。 – Roland

@Roland对于两个数据框，前两列是相同的，变量的顺序是相同的 - 首先是100，然后是50. –

奇怪的是，我不是这种情况。 – Roland

ggplot2在重塑数据中的geom_errorbar

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