[R] Plotting more than one regression line in ggplot
Rui Barradas
ru|pb@rr@d@@ @end|ng |rom @@po@pt
Wed Jun 5 16:52:49 CEST 2019
Hello,
This is pretty basic ggplot.
lm1 <- ggplot(onepctCO2MEDIAN, aes(x, y)) +
geom_point(colour = 'blue') +
geom_smooth(method = 'lm')
lm1
If you want to combine several datasets, you will have to have a
variable telling which dataset is which. In the example below, this is
column 'id'.
onepctCO2MEDIAN2 <- onepctCO2MEDIAN
onepctCO2MEDIAN2$y <- jitter(onepctCO2MEDIAN2$y) + 2
onepctCO2MEDIAN$id <- 1
onepctCO2MEDIAN2$id <- 2
df2 <- rbind(onepctCO2MEDIAN, onepctCO2MEDIAN2)
ggplot(df2, aes(x, y, group = id, colour = factor(id))) +
geom_point() +
geom_smooth(method = 'lm')
Hope this helps,
Rui Barradas
Às 15:21 de 05/06/19, rain1290--- via R-help escreveu:
> I am trying to plot, using ggplot, a series of scatter plots with regression lines for several datasets. I started with the following dataset, "onepectCO2MEDIAN". The data for this dataset is as follows:
> onepctCO2MEDIAN
> x y
> layer.1 0.000000000 0.0000000
> layer.2 0.006794447 4.9002490
> layer.3 0.014288058 0.1608000
> layer.4 0.022087920 6.6349133
> layer.5 0.030797357 -1.2429506
> layer.6 0.038451072 1.5643374
> layer.7 0.048087904 -2.2659035
> layer.8 0.058677729 2.2070045
> layer.9 0.069261406 -2.3677001
> layer.10 0.080524530 -1.0913506
> layer.11 0.092760246 0.4099940
> layer.12 0.103789609 -0.1259727
> layer.13 0.116953168 -2.4138253
> layer.14 0.129253298 7.0890257
> layer.15 0.141710050 -0.7593539
> layer.16 0.156002052 0.0454416
> layer.17 0.170648172 -1.5349683
> layer.18 0.185318425 6.5524201
> layer.19 0.199463055 -0.8312563
> layer.20 0.213513337 -2.5099183
> layer.21 0.228839271 0.1365968
> layer.22 0.246981293 -1.3719845
> layer.23 0.263012767 -0.8712988
> layer.24 0.278505564 0.6632584
> layer.25 0.293658361 0.7938036
> layer.26 0.310747266 3.4880637
> layer.27 0.325990349 -4.4612208
> layer.28 0.342517540 0.0871734
> layer.29 0.362751633 -1.4171578
> layer.30 0.380199537 -0.9956508
> layer.31 0.394992948 0.3215526
> layer.32 0.414373398 3.1403866
> layer.33 0.430690214 -0.7376099
> layer.34 0.449738145 -2.4860541
> layer.35 0.470167458 -3.4235858
> layer.36 0.489019871 0.4824748
> layer.37 0.507242471 -0.9785386
> layer.38 0.524314284 8.5359684
> layer.39 0.543750525 5.4844742
> layer.40 0.564234197 3.2149367
> layer.41 0.583679616 3.9168916
> layer.42 0.601459444 4.4907020
> layer.43 0.619924664 6.5410410
> layer.44 0.639932007 4.8068650
> layer.45 0.661347181 8.1510170
> layer.46 0.684117317 0.2697413
> layer.47 0.704829752 -0.1807501
> layer.48 0.725045770 9.7181249
> layer.49 0.745165825 1.5406466
> layer.50 0.765016139 -1.6476041
> layer.51 0.783461511 4.8024603
> layer.52 0.806382924 4.0421516
> layer.53 0.829241335 9.3756512
> layer.54 0.849924415 5.3305050
> layer.55 0.871352434 7.5445803
> layer.56 0.893632233 6.4679547
> layer.57 0.916052133 2.8096065
> layer.58 0.938579470 5.3921661
> layer.59 0.959907651 7.2043689
> layer.60 0.981643587 3.3350806
> layer.61 1.004116774 8.8690707
> layer.62 1.028363466 1.7861299
> layer.63 1.054009140 6.2555038
> layer.64 1.072440803 7.6079236
> layer.65 1.094457805 7.6871483
> layer.66 1.123176277 4.7787764
> layer.67 1.149430871 12.7110502
> layer.68 1.170912921 -0.7156284
> layer.69 1.196743071 1.6490899
> layer.70 1.218625903 3.0363024
> layer.71 1.241868377 4.2974769
> layer.72 1.267941594 1.9543778
> layer.73 1.290708780 3.9986964
> layer.74 1.313222289 4.5179472
> layer.75 1.339045882 0.9337905
> layer.76 1.362803459 3.3050770
> layer.77 1.384450197 3.5422970
> layer.78 1.409720302 5.9973660
> layer.79 1.435851157 0.5081869
> layer.80 1.455592215 7.9661630
> layer.81 1.479495347 9.9460496
> layer.82 1.506051958 3.7908372
> layer.83 1.525728464 2.5735847
> layer.84 1.549362063 10.1404974
> layer.85 1.573440671 13.7408304
> layer.86 1.600278735 0.9335771
> layer.87 1.623879492 9.7588742
> layer.88 1.650029302 1.2769395
> layer.89 1.672362328 13.4970906
> layer.90 1.700221121 10.2087502
> layer.91 1.724793375 1.6811275
> layer.92 1.751070559 6.1178992
> layer.93 1.778022110 -0.1567626
> layer.94 1.803022087 3.8237479
> layer.95 1.830668867 4.4331468
> layer.96 1.855736911 5.9790707
> layer.97 1.882615030 11.3104333
> layer.98 1.909218490 8.2142607
> layer.99 1.938130021 15.3209674
> layer.100 1.963727593 5.8178217
> layer.101 1.993271947 9.6004907
> layer.102 2.022548139 3.4063646
> layer.103 2.050679922 4.7375010
> layer.104 2.078064442 3.0133019
> layer.105 2.104113460 5.5659522
> layer.106 2.133597612 12.0346333
> layer.107 2.164026260 -0.4028320
> layer.108 2.194852829 10.5996780
> layer.109 2.224257946 5.4479584
> layer.110 2.252194643 4.7052374
> layer.111 2.277335048 14.0962019
> layer.112 2.304058313 5.7149016
> layer.113 2.330930233 3.7780072
> layer.114 2.357022762 4.4120620
> layer.115 2.386489272 4.1866085
> layer.116 2.417503953 6.9078802
> layer.117 2.448524356 2.7825739
> layer.118 2.478698969 7.6171786
> layer.119 2.510175705 10.2410603
> layer.120 2.539697886 8.1820711
> layer.121 2.567915559 4.8275494
> layer.122 2.597463250 19.1624883
> layer.123 2.627518773 16.0677109
> layer.124 2.658759236 12.5897081
> layer.125 2.692401528 9.2907988
> layer.126 2.721903205 7.4262502
> layer.127 2.753021359 9.3902518
> layer.128 2.786313415 12.6193550
> layer.129 2.819564104 11.1121040
> layer.130 2.850823164 15.7907100
> layer.131 2.880394101 10.7425287
> layer.132 2.911391258 7.7971430
> layer.133 2.942965150 8.8060858
> layer.134 2.974468350 17.5606266
> layer.135 3.008983612 17.3088605
> layer.136 3.040015221 13.4500543
> layer.137 3.072668672 14.6377884
> layer.138 3.105982423 8.0798552dput(onepctCO2MEDIAN) dput(onepctCO2MEDIAN)
> structure(list(x = c(0, 0.00679444684647024, 0.014288058038801,
> 0.0220879195258021, 0.0307973567396402,0.0384510718286037,0.0480879042297602,
> 0.0586777292191982, 0.0692614056169987, 0.080524530261755,0.0927602462470531,
> 0.103789608925581, 0.116953168064356, 0.129253298044205, 0.141710050404072,
> 0.156002052128315, 0.170648172497749, 0.185318425297737, 0.199463054537773,
> 0.21351333707571, 0.22883927077055, 0.246981292963028, 0.263012766838074,
> 0.278505563735962, 0.29365836083889, 0.310747265815735, 0.325990349054337,
> 0.342517539858818, 0.362751632928848, 0.380199536681175, 0.39499294757843,
> 0.414373397827148, 0.430690214037895, 0.449738144874573, 0.470167458057404,
> 0.489019870758057, 0.507242470979691, 0.524314284324646, 0.543750524520874,
> 0.56423419713974, 0.583679616451263, 0.601459443569183, 0.619924664497375,
> 0.639932006597519, 0.661347180604935, 0.684117317199707, 0.704829752445221,
> 0.725045770406723, 0.745165824890137, 0.765016138553619, 0.783461511135101,
> 0.806382924318314, 0.829241335391998, 0.84992441534996, 0.871352434158325,
> 0.893632233142853, 0.916052132844925, 0.938579469919205, 0.959907650947571,
> 0.981643587350845, 1.00411677360535, 1.02836346626282, 1.05400913953781,
> 1.07244080305099, 1.09445780515671, 1.12317627668381, 1.14943087100983,
> 1.17091292142868, 1.19674307107925, 1.21862590312958, 1.24186837673187,
> 1.26794159412384, 1.2907087802887, 1.31322228908539, 1.33904588222504,
> 1.36280345916748, 1.38445019721985, 1.40972030162811, 1.43585115671158,
> 1.45559221506119, 1.47949534654617, 1.50605195760727, 1.52572846412659,
> 1.5493620634079, 1.5734406709671, 1.60027873516083, 1.62387949228287,
> 1.65002930164337, 1.67236232757568, 1.70022112131119, 1.72479337453842,
> 1.75107055902481, 1.77802211046219, 1.80302208662033, 1.83066886663437,
> 1.85573691129684, 1.88261502981186, 1.90921849012375, 1.93813002109528,
> 1.96372759342194, 1.99327194690704, 2.02254813909531, 2.05067992210388,
> 2.07806444168091, 2.1041134595871, 2.13359761238098, 2.16402626037598,
> 2.19485282897949, 2.2242579460144, 2.25219464302063, 2.27733504772186,
> 2.30405831336975, 2.33093023300171, 2.35702276229858, 2.38648927211761,
> 2.41750395298004, 2.44852435588837, 2.47869896888733, 2.51017570495605,
> 2.53969788551331, 2.567915558815, 2.59746325016022, 2.62751877307892,
> 2.65875923633575, 2.69240152835846, 2.72190320491791, 2.75302135944366,
> 2.78631341457367, 2.8195641040802, 2.85082316398621, 2.88039410114288,
> 2.91139125823975, 2.94296514987946, 2.97446835041046, 3.00898361206055,
> 3.04001522064209, 3.07266867160797, 3.10598242282867), y = c(0,
> 4.90024901723162, 0.160799993152722, 6.63491326258641, -1.24295055804536,
> 1.56433744259162, -2.26590352245208, 2.20700446463354, -2.36770012911069,
> -1.09135061899174, 0.409993989292701, -0.125972681525582, -2.41382533818026,
> 7.08902570153028, -0.759353880417294, 0.0454415959640926, -1.53496826259972,
> 6.55242014096194, -0.831256280861552, -2.50991825629084, 0.136596820654013,
> -1.37198445498419, -0.871298832596736, 0.663258363762466, 0.793803634291308,
> 3.48806373666998, -4.46122081238949, 0.0871733966938564, -1.41715777257774,
> -0.995650815648318, 0.32155262317503, 3.14038657369241, -0.737609879885404,
> -2.48605406511292, -3.423585843908, 0.482474753780281, -0.978538630093809,
> 8.53596837794201, 5.48447420320695, 3.21493665820644, 3.91689160157513,
> 4.49070195980797, 6.54104103157039, 4.80686500146557, 8.15101701282067,
> 0.26974132191657, -0.180750068063062, 9.71812491230244, 1.54064657400204,
> -1.64760408795688, 4.80246028991894, 4.04215159914344, 9.37565121768513,
> 5.33050496938428, 7.54458026088508, 6.46795470819342, 2.80960651433971,
> 5.39216613235986, 7.20436888038562, 3.3350806460997, 8.86907069895943,
> 1.78612988613659, 6.25550382050395, 7.60792364896564, 7.68714830528144,
> 4.77877638957615, 12.7110501777314, -0.715628443181046, 1.64908991824022,
> 3.03630240714679, 4.29747688442346, 1.95437780501881, 3.99869636910933,
> 4.51794724689848, 0.933790484492299, 3.30507700050003, 3.5422970157433,
> 5.99736597322524, 0.508186860060022, 7.96616300581067, 9.94604963036295,
> 3.79083717222623, 2.57358468532258, 10.1404974171776, 13.7408303595752,
> 0.933577123801399, 9.75887417074129, 1.27693947132921, 13.4970905965787,
> 10.2087501765735, 1.68112753028756, 6.1178991508927, -0.156762622680077,
> 3.82374791691426, 4.43314678736265, 5.97907067167507, 11.3104332518482,
> 8.21426074201525, 15.320967360602, 5.81782169471483, 9.6004907412354,
> 3.40636455909704, 4.73750103921864, 3.0133019468806, 5.56595224859066,
> 12.0346332527215, -0.40283199827104, 10.5996779538754, 5.44795836991128,
> 4.70523736412729, 14.096201892183, 5.71490161813391, 3.77800720810782,
> 4.41206200639436, 4.18660847858423, 6.90788020044911, 2.78257393345915,
> 7.61717857379431, 10.2410602647684, 8.18207106836167, 4.82754943871433,
> 19.1624882857155, 16.0677109398509, 12.589708067017, 9.29079879799404,
> 7.42625019725314, 9.39025179806185, 12.6193550331438, 11.1121039747257,
> 15.7907099734986, 10.7425286789233, 7.79714300307344, 8.80608578166101,
> 17.5606266346039, 17.3088604929222, 13.4500543478523, 14.6377884248645,
> 8.07985518296064)), class = "data.frame", row.names = c("layer.1",
> "layer.2", "layer.3", "layer.4", "layer.5", "layer.6", "layer.7",
> "layer.8", "layer.9", "layer.10", "layer.11", "layer.12", "layer.13",
> "layer.14", "layer.15", "layer.16", "layer.17", "layer.18", "layer.19",
> "layer.20", "layer.21", "layer.22", "layer.23", "layer.24", "layer.25",
> "layer.26", "layer.27", "layer.28", "layer.29", "layer.30", "layer.31",
> "layer.32", "layer.33", "layer.34", "layer.35", "layer.36", "layer.37",
> "layer.38", "layer.39", "layer.40", "layer.41", "layer.42", "layer.43",
> "layer.44", "layer.45", "layer.46", "layer.47", "layer.48", "layer.49",
> "layer.50", "layer.51", "layer.52", "layer.53", "layer.54", "layer.55",
> "layer.56", "layer.57", "layer.58", "layer.59", "layer.60", "layer.61",
> "layer.62", "layer.63", "layer.64", "layer.65", "layer.66", "layer.67",
> "layer.68", "layer.69", "layer.70", "layer.71", "layer.72", "layer.73",
> "layer.74", "layer.75", "layer.76", "layer.77", "layer.78", "layer.79",
> "layer.80", "layer.81", "layer.82", "layer.83", "layer.84", "layer.85",
> "layer.86", "layer.87", "layer.88", "layer.89", "layer.90", "layer.91",
> "layer.92", "layer.93", "layer.94", "layer.95", "layer.96", "layer.97",
> "layer.98", "layer.99", "layer.100", "layer.101", "layer.102",
> "layer.103", "layer.104", "layer.105", "layer.106", "layer.107",
> "layer.108", "layer.109", "layer.110", "layer.111", "layer.112",
> "layer.113", "layer.114", "layer.115", "layer.116", "layer.117",
> "layer.118", "layer.119", "layer.120", "layer.121", "layer.122",
> "layer.123", "layer.124", "layer.125", "layer.126", "layer.127",
> "layer.128", "layer.129", "layer.130", "layer.131", "layer.132",
> "layer.133", "layer.134", "layer.135", "layer.136", "layer.137",
> "layer.138"))
> I started with the following to generate the first regression line and scatter plot: lm<-ggplot(onepctCO2MEDIAN) +
> geom_jitter(aes(RCP1pctCO2cumulativeMedian[1:138], departurea),
> colour="blue") + geom_smooth(aes(RCP1pctCO2cumulativeMedian[1:138],
> departurea), method=lm)
> But I receive this error: Warning message:
> Computation failed in `stat_smooth()`:
> 'what' must be a function or character string
> A blue scatter plot is successfully generated, but the problem is that the regression line does not appear, presumably related to the above warning.
> Is there a reason for this? I would appreciate any assistance!
> [[alternative HTML version deleted]]
>
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