Hi
Probably missing quotation marks in geom_smooth
geom_smooth(method = "lm", se = FALSE)
Cheers
Petr
> -----Original Message-----
> From: R-help <r-help-boun...@r-project.org> On Behalf Of rain1290--- via R-
> help
> Sent: Thursday, June 6, 2019 4:35 PM
> To: ruipbarra...@sapo.pt; r-help@R-project.org
> Subject: Re: [R] Plotting more than one regression line in ggplot
>
> Hi Rui (and everyone),
> Thank you for this! Yes, this did work fine, as I can see my scatter plots and
> regression lines on the same plot, along with the appropriate coloring scheme!
> :)
> Just one last question concerning this - I melted other dataframes into my new
> "NewestdataUltra". I now have 4 objects listed in there in this order
> (starting
> from the top of the list): "onepctCO2MEDIAN", "RCP4.5MEDIAN",
> RCP8.5MEDIAN", and "HistoricalMEDIAN". I tried plotting colored scattered
> plots and regression lines for these in this manner:
> ggplot(subset(Newestdata, L1 != 'RCPonepctCO2MEDIAN'), aes(x, value, colour
> = L1)) + geom_point() + scale_color_manual(values =c("green", "blue" "red",
> "black")) + geom_smooth(method = lm, se=FALSE) However, I received this
> error:
> Error: unexpected string constant in "ggplot(subset(NewestdataUltra, L1 !=
> 'RCPonepctCO2MEDIAN'), aes(x, value, colour = L1)) + geom_point() +
> scale_color_manual(values =c("green", "blue" "red""
>
> Why would this error appear? I think that I assigned the colors correctly to
> each of the four objects in question, so why would this occur?
> Thank you, once again!
> -----Original Message-----
> From: Rui Barradas <ruipbarra...@sapo.pt>
> To: rain1290 <rain1...@aim.com>; r-help <r-help@R-project.org>
> Sent: Thu, Jun 6, 2019 6:52 am
> Subject: Re: [R] Plotting more than one regression line in ggplot
>
> Hello,
>
> You are confusing some of the values of L1 with L1 itself.
> If you just want two of those values in your plot, "onepctCO2MEDIAN" and
> "RCP8.5MEDIAN", you need to subset the data filtering out the rows with
> L1 == "RCP4.5MEDIAN".
>
> And please forget geom_jitter, it is completely inappropriate for the
> type of scatter plot you are trying to graph. You jitter when there is
> overplotting, not as a general purpose technique.
>
> Here is one way to do it.
>
>
> ggplot(subset(NewestdataUltra, L1 != 'RCP4.5MEDIAN'),
> aes(x, value, colour = L1)) +
> geom_point() +
> scale_color_manual(values = c("green", "red")) +
> geom_smooth(method = lm)
>
>
> Hope this helps,
>
> Rui Barradas
>
> Às 22:37 de 05/06/19, rain1...@aim.com escreveu:
> > Hi Rui (and everyone),
> >
> > Thank you so much for your response! Much appreciated!
> >
> > What if I wanted I create several regression lines and scatter plots in
> > the same ggplot using a "melted" dataset? I would like to create a
> > scatter plot and regression line for both the objects of
> > "onepctCO2MEDIAN" and "RCP8.5MEDIANThis melted dataset looks like
> this:
> >
> >
> > >NewestdataUltra
> >
> > x variable value L1 1 0.000000000 y 0.00000000 onepctCO2MEDIAN 2
> > 0.006794447 y 4.90024902 onepctCO2MEDIAN 3 0.014288058 y
> 0.16079999
> > onepctCO2MEDIAN 4 0.022087920 y 6.63491326 onepctCO2MEDIAN 5
> 0.030797357
> > y -1.24295056 onepctCO2MEDIAN 6 0.038451072 y 1.56433744
> onepctCO2MEDIAN
> > 7 0.048087904 y -2.26590352 onepctCO2MEDIAN 8 0.058677729 y
> 2.20700446
> > onepctCO2MEDIAN 9 0.069261406 y -2.36770013 onepctCO2MEDIAN 10
> > 0.080524530 y -1.09135062 onepctCO2MEDIAN 11 0.092760246 y
> 0.40999399
> > onepctCO2MEDIAN 12 0.103789609 y -0.12597268 onepctCO2MEDIAN 13
> > 0.116953168 y -2.41382534 onepctCO2MEDIAN 14 0.129253298 y
> 7.08902570
> > onepctCO2MEDIAN 15 0.141710050 y -0.75935388 onepctCO2MEDIAN 16
> > 0.156002052 y 0.04544160 onepctCO2MEDIAN 17 0.170648172 y -
> 1.53496826
> > onepctCO2MEDIAN 18 0.185318425 y 6.55242014 onepctCO2MEDIAN 19
> > 0.199463055 y -0.83125628 onepctCO2MEDIAN 20 0.213513337 y -
> 2.50991826
> > onepctCO2MEDIAN 21 0.228839271 y 0.13659682 onepctCO2MEDIAN 22
> > 0.246981293 y -1.37198445 onepctCO2MEDIAN 23 0.263012767 y -
> 0.87129883
> > onepctCO2MEDIAN 24 0.278505564 y 0.66325836 onepctCO2MEDIAN 25
> > 0.293658361 y 0.79380363 onepctCO2MEDIAN 26 0.310747266 y
> 3.48806374
> > onepctCO2MEDIAN 27 0.325990349 y -4.46122081 onepctCO2MEDIAN 28
> > 0.342517540 y 0.08717340 onepctCO2MEDIAN 29 0.362751633 y -
> 1.41715777
> > onepctCO2MEDIAN 30 0.380199537 y -0.99565082 onepctCO2MEDIAN 31
> > 0.394992948 y 0.32155262 onepctCO2MEDIAN 32 0.414373398 y
> 3.14038657
> > onepctCO2MEDIAN 33 0.430690214 y -0.73760988 onepctCO2MEDIAN 34
> > 0.449738145 y -2.48605407 onepctCO2MEDIAN 35 0.470167458 y -
> 3.42358584
> > onepctCO2MEDIAN 36 0.489019871 y 0.48247475 onepctCO2MEDIAN 37
> > 0.507242471 y -0.97853863 onepctCO2MEDIAN 38 0.524314284 y
> 8.53596838
> > onepctCO2MEDIAN 39 0.543750525 y 5.48447420 onepctCO2MEDIAN 40
> > 0.564234197 y 3.21493666 onepctCO2MEDIAN 41 0.583679616 y
> 3.91689160
> > onepctCO2MEDIAN 42 0.601459444 y 4.49070196 onepctCO2MEDIAN 43
> > 0.619924664 y 6.54104103 onepctCO2MEDIAN 44 0.639932007 y
> 4.80686500
> > onepctCO2MEDIAN 45 0.661347181 y 8.15101701 onepctCO2MEDIAN 46
> > 0.684117317 y 0.26974132 onepctCO2MEDIAN 47 0.704829752 y -
> 0.18075007
> > onepctCO2MEDIAN 48 0.725045770 y 9.71812491 onepctCO2MEDIAN 49
> > 0.745165825 y 1.54064657 onepctCO2MEDIAN 50 0.765016139 y -
> 1.64760409
> > onepctCO2MEDIAN 51 0.783461511 y 4.80246029 onepctCO2MEDIAN 52
> > 0.806382924 y 4.04215160 onepctCO2MEDIAN 53 0.829241335 y
> 9.37565122
> > onepctCO2MEDIAN 54 0.849924415 y 5.33050497 onepctCO2MEDIAN 55
> > 0.871352434 y 7.54458026 onepctCO2MEDIAN 56 0.893632233 y
> 6.46795471
> > onepctCO2MEDIAN 57 0.916052133 y 2.80960651 onepctCO2MEDIAN 58
> > 0.938579470 y 5.39216613 onepctCO2MEDIAN 59 0.959907651 y
> 7.20436888
> > onepctCO2MEDIAN 60 0.981643587 y 3.33508065 onepctCO2MEDIAN 61
> > 1.004116774 y 8.86907070 onepctCO2MEDIAN 62 1.028363466 y
> 1.78612989
> > onepctCO2MEDIAN 63 1.054009140 y 6.25550382 onepctCO2MEDIAN 64
> > 1.072440803 y 7.60792365 onepctCO2MEDIAN 65 1.094457805 y
> 7.68714831
> > onepctCO2MEDIAN 66 1.123176277 y 4.77877639 onepctCO2MEDIAN 67
> > 1.149430871 y 12.71105018 onepctCO2MEDIAN 68 1.170912921 y -
> 0.71562844
> > onepctCO2MEDIAN 69 1.196743071 y 1.64908992 onepctCO2MEDIAN 70
> > 1.218625903 y 3.03630241 onepctCO2MEDIAN 71 1.241868377 y
> 4.29747688
> > onepctCO2MEDIAN 72 1.267941594 y 1.95437781 onepctCO2MEDIAN 73
> > 1.290708780 y 3.99869637 onepctCO2MEDIAN 74 1.313222289 y
> 4.51794725
> > onepctCO2MEDIAN 75 1.339045882 y 0.93379048 onepctCO2MEDIAN 76
> > 1.362803459 y 3.30507700 onepctCO2MEDIAN 77 1.384450197 y
> 3.54229702
> > onepctCO2MEDIAN 78 1.409720302 y 5.99736597 onepctCO2MEDIAN 79
> > 1.435851157 y 0.50818686 onepctCO2MEDIAN 80 1.455592215 y
> 7.96616301
> > onepctCO2MEDIAN 81 1.479495347 y 9.94604963 onepctCO2MEDIAN 82
> > 1.506051958 y 3.79083717 onepctCO2MEDIAN 83 1.525728464 y
> 2.57358469
> > onepctCO2MEDIAN 84 1.549362063 y 10.14049742 onepctCO2MEDIAN 85
> > 1.573440671 y 13.74083036 onepctCO2MEDIAN 86 1.600278735 y
> 0.93357712
> > onepctCO2MEDIAN 87 1.623879492 y 9.75887417 onepctCO2MEDIAN 88
> > 1.650029302 y 1.27693947 onepctCO2MEDIAN 89 1.672362328 y
> 13.49709060
> > onepctCO2MEDIAN 90 1.700221121 y 10.20875018 onepctCO2MEDIAN 91
> > 1.724793375 y 1.68112753 onepctCO2MEDIAN 92 1.751070559 y
> 6.11789915
> > onepctCO2MEDIAN 93 1.778022110 y -0.15676262 onepctCO2MEDIAN 94
> > 1.803022087 y 3.82374792 onepctCO2MEDIAN 95 1.830668867 y
> 4.43314679
> > onepctCO2MEDIAN 96 1.855736911 y 5.97907067 onepctCO2MEDIAN 97
> > 1.882615030 y 11.31043325 onepctCO2MEDIAN 98 1.909218490 y
> 8.21426074
> > onepctCO2MEDIAN 99 1.938130021 y 15.32096736 onepctCO2MEDIAN 100
> > 1.963727593 y 5.81782169 onepctCO2MEDIAN 101 1.993271947 y
> 9.60049074
> > onepctCO2MEDIAN 102 2.022548139 y 3.40636456 onepctCO2MEDIAN 103
> > 2.050679922 y 4.73750104 onepctCO2MEDIAN 104 2.078064442 y
> 3.01330195
> > onepctCO2MEDIAN 105 2.104113460 y 5.56595225 onepctCO2MEDIAN 106
> > 2.133597612 y 12.03463325 onepctCO2MEDIAN 107 2.164026260 y -
> 0.40283200
> > onepctCO2MEDIAN 108 2.194852829 y 10.59967795 onepctCO2MEDIAN
> 109
> > 2.224257946 y 5.44795837 onepctCO2MEDIAN 110 2.252194643 y
> 4.70523736
> > onepctCO2MEDIAN 111 2.277335048 y 14.09620189 onepctCO2MEDIAN
> 112
> > 2.304058313 y 5.71490162 onepctCO2MEDIAN 113 2.330930233 y
> 3.77800721
> > onepctCO2MEDIAN 114 2.357022762 y 4.41206201 onepctCO2MEDIAN 115
> > 2.386489272 y 4.18660848 onepctCO2MEDIAN 116 2.417503953 y
> 6.90788020
> > onepctCO2MEDIAN 117 2.448524356 y 2.78257393 onepctCO2MEDIAN 118
> > 2.478698969 y 7.61717857 onepctCO2MEDIAN 119 2.510175705 y
> 10.24106026
> > onepctCO2MEDIAN 120 2.539697886 y 8.18207107 onepctCO2MEDIAN 121
> > 2.567915559 y 4.82754944 onepctCO2MEDIAN 122 2.597463250 y
> 19.16248829
> > onepctCO2MEDIAN 123 2.627518773 y 16.06771094 onepctCO2MEDIAN
> 124
> > 2.658759236 y 12.58970807 onepctCO2MEDIAN 125 2.692401528 y
> 9.29079880
> > onepctCO2MEDIAN 126 2.721903205 y 7.42625020 onepctCO2MEDIAN 127
> > 2.753021359 y 9.39025180 onepctCO2MEDIAN 128 2.786313415 y
> 12.61935503
> > onepctCO2MEDIAN 129 2.819564104 y 11.11210397 onepctCO2MEDIAN
> 130
> > 2.850823164 y 15.79070997 onepctCO2MEDIAN 131 2.880394101 y
> 10.74252868
> > onepctCO2MEDIAN 132 2.911391258 y 7.79714300 onepctCO2MEDIAN 133
> > 2.942965150 y 8.80608578 onepctCO2MEDIAN 134 2.974468350 y
> 17.56062663
> > onepctCO2MEDIAN 135 3.008983612 y 17.30886049 onepctCO2MEDIAN
> 136
> > 3.040015221 y 13.45005435 onepctCO2MEDIAN 137 3.072668672 y
> 14.63778842
> > onepctCO2MEDIAN 138 3.105982423 y 8.07985518 onepctCO2MEDIAN 139
> > 0.467429527 y -1.55704023 RCP4.5MEDIAN 140 0.478266196 y -
> 3.19367515
> > RCP4.5MEDIAN 141 0.489205229 y -2.44452679 RCP4.5MEDIAN 142
> 0.500039143
> > y 0.87504367 RCP4.5MEDIAN 143 0.511021115 y -0.39185002
> RCP4.5MEDIAN 144
> > 0.519874968 y -4.18935168 RCP4.5MEDIAN 145 0.528508358 y -
> 3.64179524
> > RCP4.5MEDIAN 146 0.537377594 y -2.58167128 RCP4.5MEDIAN 147
> 0.546194211
> > y 2.20583694 RCP4.5MEDIAN 148 0.554720591 y -8.57764597
> RCP4.5MEDIAN 149
> > 0.563289814 y 2.88442536 RCP4.5MEDIAN 150 0.572032790 y -
> 3.90829882
> > RCP4.5MEDIAN 151 0.580939066 y -3.39269048 RCP4.5MEDIAN 152
> 0.590921065
> > y -4.60849867 RCP4.5MEDIAN 153 0.601575326 y -1.62572657
> RCP4.5MEDIAN
> > 154 0.612425555 y 1.14198465 RCP4.5MEDIAN 155 0.623773319 y -
> 3.38454122
> > RCP4.5MEDIAN 156 0.635363359 y 2.43414265 RCP4.5MEDIAN 157
> 0.646722666 y
> > 3.30007615 RCP4.5MEDIAN 158 0.658285673 y -0.79555442
> RCP4.5MEDIAN 159
> > 0.670250852 y -2.05220500 RCP4.5MEDIAN 160 0.681702690 y -
> 5.56808946
> > RCP4.5MEDIAN 161 0.693531145 y 2.24168605 RCP4.5MEDIAN 162
> 0.706016061 y
> > -4.83673351 RCP4.5MEDIAN 163 0.718231249 y 0.40086819
> RCP4.5MEDIAN 164
> > 0.730190911 y -1.98026992 RCP4.5MEDIAN 165 0.741269845 y
> 0.39963115
> > RCP4.5MEDIAN 166 0.751000321 y -0.83241777 RCP4.5MEDIAN 167
> 0.760886972
> > y -1.66101404 RCP4.5MEDIAN 168 0.771137164 y -1.05452982
> RCP4.5MEDIAN
> > 169 0.781856383 y -1.18338156 RCP4.5MEDIAN 170 0.792607542 y
> 0.22722653
> > RCP4.5MEDIAN 171 0.803724128 y -1.90642564 RCP4.5MEDIAN 172
> 0.815066246
> > y 0.75010550 RCP4.5MEDIAN 173 0.826027437 y -1.31108646
> RCP4.5MEDIAN 174
> > 0.836766732 y 1.05961515 RCP4.5MEDIAN 175 0.847553312 y -
> 2.06588010
> > RCP4.5MEDIAN 176 0.858331452 y 8.53403315 RCP4.5MEDIAN 177
> 0.869154422 y
> > 0.09979751 RCP4.5MEDIAN 178 0.879572539 y -2.50854353
> RCP4.5MEDIAN 179
> > 0.889426601 y 5.29550783 RCP4.5MEDIAN 180 0.899009805 y 2.02909481
> > RCP4.5MEDIAN 181 0.908289566 y 2.66922982 RCP4.5MEDIAN 182
> 0.917284978 y
> > -4.17757196 RCP4.5MEDIAN 183 0.926128960 y 3.40202916
> RCP4.5MEDIAN 184
> > 0.934752874 y -1.92292218 RCP4.5MEDIAN 185 0.943010943 y
> 6.36969150
> > RCP4.5MEDIAN 186 0.950999217 y 1.86490308 RCP4.5MEDIAN 187
> 0.958795701 y
> > 8.32126161 RCP4.5MEDIAN 188 0.966310396 y 10.15048356
> RCP4.5MEDIAN 189
> > 0.973635493 y 6.68925964 RCP4.5MEDIAN 190 0.980834088 y -
> 1.01615369
> > RCP4.5MEDIAN 191 0.987694790 y 0.20892853 RCP4.5MEDIAN 192
> 0.994548581 y
> > -1.52787222 RCP4.5MEDIAN 193 1.001274595 y -0.72374597
> RCP4.5MEDIAN 194
> > 1.007810612 y 2.26062309 RCP4.5MEDIAN 195 1.014270389 y -
> 2.40270340
> > RCP4.5MEDIAN 196 1.022719711 y -1.94548262 RCP4.5MEDIAN 197
> 1.032070810
> > y -1.13053235 RCP4.5MEDIAN 198 1.041118812 y 0.56107969
> RCP4.5MEDIAN 199
> > 1.050189571 y 3.27941835 RCP4.5MEDIAN 200 1.059380475 y 3.01333588
> > RCP4.5MEDIAN 201 1.067877585 y 4.87457336 RCP4.5MEDIAN 202
> 1.076078766 y
> > 1.02457895 RCP4.5MEDIAN 203 1.084707357 y 4.49174869
> RCP4.5MEDIAN 204
> > 1.093223180 y 8.24629303 RCP4.5MEDIAN 205 1.101414382 y -
> 0.03364132
> > RCP4.5MEDIAN 206 1.108886304 y 9.12509848 RCP4.5MEDIAN 207
> 1.115482896 y
> > 1.74254621 RCP4.5MEDIAN 208 1.121856558 y 2.27004536
> RCP4.5MEDIAN 209
> > 1.127809421 y -0.65627179 RCP4.5MEDIAN 210 1.133265961 y
> 12.02566969
> > RCP4.5MEDIAN 211 1.138549712 y -1.04260843 RCP4.5MEDIAN 212
> 1.143910237
> > y -6.47611327 RCP4.5MEDIAN 213 1.149437787 y 8.88410567
> RCP4.5MEDIAN 214
> > 1.154488347 y -4.24916247 RCP4.5MEDIAN 215 1.159872903 y
> 7.90741918
> > RCP4.5MEDIAN 216 1.165477487 y -3.91386711 RCP4.5MEDIAN 217
> 1.171103424
> > y 1.02370701 RCP4.5MEDIAN 218 1.177498256 y -3.71206616
> RCP4.5MEDIAN 219
> > 1.184003888 y -1.05694182 RCP4.5MEDIAN 220 1.190395856 y
> 1.10501459
> > RCP4.5MEDIAN 221 1.197284280 y 2.67668639 RCP4.5MEDIAN 222
> 1.204590551 y
> > 2.21693031 RCP4.5MEDIAN 223 1.210807614 y 2.90252830
> RCP4.5MEDIAN 224
> > 1.216470664 y 2.75093766 RCP4.5MEDIAN 225 1.221914148 y -
> 0.73815245
> > RCP4.5MEDIAN 226 1.227580480 y 3.58554626 RCP4.5MEDIAN 227
> 1.233317788 y
> > 10.89961658 RCP4.5MEDIAN 228 1.238093406 y 3.23374387
> RCP4.5MEDIAN 229
> > 0.466622908 y -1.92366466 RCP8.5MEDIAN 230 0.474211509 y
> 4.09292949
> > RCP8.5MEDIAN 231 0.480383051 y -0.84736312 RCP8.5MEDIAN 232
> 0.486304903
> > y -0.80597889 RCP8.5MEDIAN 233 0.492151615 y -0.50244413
> RCP8.5MEDIAN
> > 234 0.499312643 y 3.07785701 RCP8.5MEDIAN 235 0.508859905 y -
> 6.15175322
> > RCP8.5MEDIAN 236 0.518758845 y -0.51590144 RCP8.5MEDIAN 237
> 0.528675758
> > y 3.33135956 RCP8.5MEDIAN 238 0.538928423 y 2.62280891
> RCP8.5MEDIAN 239
> > 0.549621221 y -6.90096009 RCP8.5MEDIAN 240 0.560062840 y -
> 3.45706029
> > RCP8.5MEDIAN 241 0.570860791 y 1.36192518 RCP8.5MEDIAN 242
> 0.581923368 y
> > 0.34822359 RCP8.5MEDIAN 243 0.592628298 y 3.06882935
> RCP8.5MEDIAN 244
> > 0.604230648 y -3.56142825 RCP8.5MEDIAN 245 0.615975167 y
> 10.35932554
> > RCP8.5MEDIAN 246 0.627448279 y 10.21751629 RCP8.5MEDIAN 247
> 0.639401050
> > y 3.31040335 RCP8.5MEDIAN 248 0.651949591 y -0.53558775
> RCP8.5MEDIAN 249
> > 0.664634427 y 2.66081860 RCP8.5MEDIAN 250 0.677343552 y 3.21379656
> > RCP8.5MEDIAN Maybe something like this?
> >
> > lusher<-ggplot(NewestdataULTRA) +
> > geom_jitter(aes(x,value,onepctCO2MEDIAN=L1), colour="green") +
> > geom_smooth(aes(x, value, onepctCO2MEDIAN=L1), method=lm) +
> > geom_jitter(aes(x, value, RCP8.5MEDIAN=L1), colour="red")**//___^
> > **//___^
> > I receive this warning, however:
> >
> > Warning:Ignoring unknown aesthetics: onepctCO2MEDIAN Warning:Ignoring
> > unknown aesthetics: onepctCO2MEDIAN
> >
> > **//___^
> > Perhaps I am not assigning the columns properly? Essentially, I just
> > want create two scatter plots and two regression lines for these two
> > objects.
> >
> > Once again, any assistance would be greatly appreciated!
> >
> > -----Original Message-----
> > From: Rui Barradas <ruipbarra...@sapo.pt>
> > To: rain1290 <rain1...@aim.com>; r-help <r-help@R-project.org>;
> > r-sig-geo <r-sig-...@r-project.org>
> > Sent: Wed, Jun 5, 2019 10:52 am
> > Subject: Re: [R] Plotting more than one regression line in ggplot
> >
> > 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]]
> >
> > >
> > > ______________________________________________
> > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > > 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.
> >
> > >
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
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