[R] Plotting more than one regression line in ggplot

r@i@1290 m@iii@g oii @im@com r@i@1290 m@iii@g oii @im@com
Thu Jun 6 18:49:46 CEST 2019


Hi Rui,

NewestdataUltra looks like this (Note that "HistoricalMEDIAN" is hidden, but it follows "RCP8.5MEDIAN" listing the same way):



              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
 [ reached 'max' / getOption("max.print") -- omitted 212 rows ]
If I wanted scatter plots and regression lines of onepctCO2MEDIAN, RCP4.5MEDIAN and RCP8.5MEDIAN, would I do something like this? :ggplot(subset(NewestdataUltra, L1 != 'onepctCO2MEDIAN'), aes(x, value, colour = L1)) + geom_point() + scale_color_manual(values =c("green", "blue" "red", "black")) + geom_smooth(method = lm, se=FALSE)
Thanks,
-----Original Message-----
From: Rui Barradas <ruipbarradas using sapo.pt>
To: rain1290 <rain1290 using aim.com>; r-help <r-help using R-project.org>
Sent: Thu, Jun 6, 2019 11:53 am
Subject: Re: [R] Plotting more than one regression line in ggplot

Hello,

It's impossible to say without seeing the data.

What is the return value of

df_tmp <- subset(NewestdataUltra, L1 != 'onepctCO2MEDIAN')
unique(df_tmp$L1)

The number of colors must be the same as

length(unique(df_tmp$L1))


Hope this helps,

Rui Barradas

Às 16:49 de 06/06/19, rain1290 using aim.com escreveu:
> Hi Rui,
> 
> Yes, you are right. It should be this, but I tried with only 3 colors, 
> as you suggested:
> 
> ggplot(subset(NewestdataUltra, L1 != 'onepctCO2MEDIAN'), aes(x, value, 
> colour = L1)) + geom_point() + scale_color_manual(values =c("green", 
> "blue" "red")) + geom_smooth(method = lm, se=FALSE)
> 
> **//___^
> **//___^I still end up with the same error, however, when I specify only 
> 3 colors. Why could this be?
> 
> 
> -----Original Message-----
> From: Rui Barradas <ruipbarradas using sapo.pt>
> To: rain1290 <rain1290 using aim.com>; r-help <r-help using R-project.org>
> Sent: Thu, Jun 6, 2019 11:18 am
> Subject: Re: [R] Plotting more than one regression line in ggplot
> 
> Hello,
> 
> 1) In the text you say your dataset is named NewestdataUltra but in the
> ggplot instruction it's Newestdata. One of these is wrong.
> 
> 2) Is it onepctCO2MEDIAN or RCPonepctCO2MEDIAN?
> 
> 3) You are filtering out the value in point ) above. So you only plot 3
> regression lines, you don't need 4 colors.
> 
> 
> Hope this helps,
> 
> Rui Barradas
> 
> Às 15:35 de 06/06/19, rain1290 using aim.com <mailto:rain1290 using aim.com> escreveu:
>  > 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 <ruipbarradas using sapo.pt <mailto:ruipbarradas using sapo.pt>>
>  > To: rain1290 <rain1290 using aim.com <mailto:rain1290 using aim.com>>; r-help 
> <r-help using R-project.org <mailto:r-help using 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, rain1290 using aim.com <mailto:rain1290 using aim.com> 
> <mailto:rain1290 using aim.com <mailto:rain1290 using 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 <ruipbarradas using sapo.pt 
> <mailto:ruipbarradas using sapo.pt> <mailto:ruipbarradas using sapo.pt 
> <mailto:ruipbarradas using sapo.pt>>>
>  >  > To: rain1290 <rain1290 using aim.com <mailto:rain1290 using aim.com> 
> <mailto:rain1290 using aim.com <mailto:rain1290 using aim.com>>>; r-help
>  > <r-help using R-project.org <mailto:r-help using R-project.org> 
> <mailto:r-help using R-project.org <mailto:r-help using R-project.org>>>;
>  >  > r-sig-geo <r-sig-geo using r-project.org 
> <mailto:r-sig-geo using r-project.org> <mailto:r-sig-geo using r-project.org 
> <mailto:r-sig-geo using 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 using r-project.org <mailto:R-help using r-project.org> 
> <mailto:R-help using r-project.org <mailto:R-help using 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]]



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