Re: [R] Plotting more than one regression line in ggplot
Hi Rui,
Yes! This worked just fine! Thank you so, so much for your time and patience!
-Original Message-
From: Rui Barradas
To: rain1290 ; r-help
Sent: Thu, Jun 6, 2019 3:25 pm
Subject: Re: [R] Plotting more than one regression line in ggplot
Hello,
Try this.
values_to_plot <- c("onepctCO2MEDIAN", "RCP4.5MEDIAN", "RCP8.5MEDIAN")
sub_df <- subset(NewestdataUltra, L1 %in% values_to_plot)
ggplot(sub_df, aes(x, value, colour = L1)) +
geom_point() +
scale_color_manual(values = c("green", "red", "blue")) +
geom_smooth(method = lm)
If you have more L1 values to plot, add more colors. The number of
colors must be equal to
length(values_to_plot)
Hope this helps,
Rui Barradas
Às 17:49 de 06/06/19, rain1...@aim.com escreveu:
> 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 0.0 y 0. onepctCO2MEDIAN 2 0.006794447 y
> 4.90024902 onepctCO2MEDIAN 3 0.014288058 y 0.1607 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 1.31389 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 onepctCO2
Re: [R] Plotting more than one regression line in ggplot
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
To: rain1290 ; r-help
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, rain1...@aim.com <mailto:rain1...@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 mailto:ruipbarra...@sapo.pt>>
> To: rain1290 mailto:rain1...@aim.com>>; r-help
mailto:r-help@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, rain1...@aim.com <mailto:rain1...@aim.com>
<mailto:rain1...@aim.com <mailto:rain1...@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 ma
Re: [R] Plotting more than one regression line in ggplot
9150RCP4.5MEDIAN
186 0.950999217y 1.86490308RCP4.5MEDIAN
187 0.958795701y 8.32126161RCP4.5MEDIAN
188 0.966310396y 10.15048356RCP4.5MEDIAN
189 0.973635493y 6.68925964RCP4.5MEDIAN
190 0.980834088y -1.01615369RCP4.5MEDIAN
191 0.987694790y 0.20892853RCP4.5MEDIAN
192 0.994548581y -1.52787222RCP4.5MEDIAN
193 1.001274595y -0.72374597RCP4.5MEDIAN
194 1.007810612y 2.26062309RCP4.5MEDIAN
195 1.014270389y -2.40270340RCP4.5MEDIAN
196 1.022719711y -1.94548262RCP4.5MEDIAN
197 1.032070810y -1.13053235RCP4.5MEDIAN
198 1.041118812y 0.56107969RCP4.5MEDIAN
199 1.050189571y 3.27941835RCP4.5MEDIAN
200 1.059380475y 3.01333588RCP4.5MEDIAN
201 1.067877585y 4.87457336RCP4.5MEDIAN
202 1.076078766y 1.02457895RCP4.5MEDIAN
203 1.084707357y 4.49174869RCP4.5MEDIAN
204 1.093223180y 8.24629303RCP4.5MEDIAN
205 1.101414382y -0.03364132RCP4.5MEDIAN
206 1.108886304y 9.12509848RCP4.5MEDIAN
207 1.115482896y 1.74254621RCP4.5MEDIAN
208 1.121856558y 2.27004536RCP4.5MEDIAN
209 1.127809421y -0.65627179RCP4.5MEDIAN
210 1.133265961y 12.02566969RCP4.5MEDIAN
211 1.138549712y -1.04260843RCP4.5MEDIAN
212 1.143910237y -6.47611327RCP4.5MEDIAN
213 1.149437787y 8.88410567RCP4.5MEDIAN
214 1.154488347y -4.24916247RCP4.5MEDIAN
215 1.159872903y 7.90741918RCP4.5MEDIAN
216 1.165477487y -3.91386711RCP4.5MEDIAN
217 1.171103424y 1.02370701RCP4.5MEDIAN
218 1.177498256y -3.71206616RCP4.5MEDIAN
219 1.184003888y -1.05694182RCP4.5MEDIAN
220 1.190395856y 1.10501459RCP4.5MEDIAN
221 1.197284280y 2.67668639RCP4.5MEDIAN
222 1.204590551y 2.21693031RCP4.5MEDIAN
223 1.210807614y 2.90252830RCP4.5MEDIAN
224 1.216470664y 2.75093766RCP4.5MEDIAN
225 1.221914148y -0.73815245RCP4.5MEDIAN
226 1.227580480y 3.58554626RCP4.5MEDIAN
227 1.233317788y 10.89961658RCP4.5MEDIAN
228 1.238093406y 3.23374387RCP4.5MEDIAN
229 0.466622908y -1.92366466RCP8.5MEDIAN
230 0.474211509y 4.09292949RCP8.5MEDIAN
231 0.480383051y -0.84736312RCP8.5MEDIAN
232 0.486304903y -0.80597889RCP8.5MEDIAN
233 0.492151615y -0.50244413RCP8.5MEDIAN
234 0.499312643y 3.07785701RCP8.5MEDIAN
235 0.508859905y -6.15175322RCP8.5MEDIAN
236 0.518758845y -0.51590144RCP8.5MEDIAN
237 0.528675758y 3.33135956RCP8.5MEDIAN
238 0.538928423y 2.62280891RCP8.5MEDIAN
239 0.549621221y -6.90096009RCP8.5MEDIAN
240 0.560062840y -3.45706029RCP8.5MEDIAN
241 0.570860791y 1.36192518RCP8.5MEDIAN
242 0.581923368y 0.34822359RCP8.5MEDIAN
243 0.592628298y 3.06882935RCP8.5MEDIAN
244 0.604230648y -3.56142825RCP8.5MEDIAN
245 0.615975167y 10.35932554RCP8.5MEDIAN
246 0.627448279y 10.21751629RCP8.5MEDIAN
247 0.639401050y 3.31040335RCP8.5MEDIAN
248 0.651949591y -0.53558775RCP8.5MEDIAN
249 0.664634427y 2.66081860RCP8.5MEDIAN
250 0.677343552y 3.21379656RCP8.5MEDIAN
[ 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
To: rain1290 ; r-help
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, rain1...@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-
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, rain1...@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
To: rain1290 ; r-help
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, rain1...@aim.com <mailto:rain1...@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 mailto:ruipbarra...@sapo.pt>>
> To: rain1290 mailto:rain1...@aim.com>>; r-help
mailto: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 <mailto:rain1...@aim.com>
<mailto:rain1...@aim.com <mailto: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 0.0 y 0. onepctCO2MEDIAN 2
> > 0.006794447 y 4.90024902 onepctCO2MEDIAN 3 0.014288058 y 0.1607
> > onepctCO2MEDIAN 4 0.022087920 y 6.63491326 onepctCO2MEDIAN 5
0.030797357
> > y -1.24295056
Re: [R] Plotting more than one regression line in ggplot
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
To: rain1290 ; r-help
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, rain1...@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
> To: rain1290 ; r-help
> 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 <mailto: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 0.0 y 0. onepctCO2MEDIAN 2
> > 0.006794447 y 4.90024902 onepctCO2MEDIAN 3 0.014288058 y 0.1607
> > 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 -1.5349682
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, rain1...@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
To: rain1290 ; r-help
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 <mailto: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 0.0 y 0. onepctCO2MEDIAN 2
> 0.006794447 y 4.90024902 onepctCO2MEDIAN 3 0.014288058 y 0.1607
> 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 8.5359683
Re: [R] Plotting more than one regression line in ggplot
Hi
Probably missing quotation marks in geom_smooth
geom_smooth(method = "lm", se = FALSE)
Cheers
Petr
> -Original Message-
> From: R-help 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
> To: rain1290 ; r-help
> 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 0.0 y 0. onepctCO2MEDIAN 2
> > 0.006794447 y 4.90024902 onepctCO2MEDIAN 3 0.014288058 y
> 0.1607
> > 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
> > 0.3949
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
To: rain1290 ; r-help
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 0.0 y 0. onepctCO2MEDIAN 2
> 0.006794447 y 4.90024902 onepctCO2MEDIAN 3 0.014288058 y 0.1607
> 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.
Re: [R] Plotting more than one regression line in ggplot
IAN 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 To: rain1290 ; r-help ; r-sig-geo 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 0.0 0.000 > 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 > lay
Re: [R] Plotting more than one regression line in ggplot
Hi It is probably time to consult documentation, including R-Intro. GGplot paradigm is that you have set of values (x,y) and factor variable(s) used for changing colour, size, plotting character or several other plot items. so something like pl <- ggplot(NewestdataULTRA, aes(x=x, y=value, colour=L1)) pl +geom_point()+geom_smooth(method="lm") Cheers Petr > -Original Message- > From: R-help On Behalf Of rain1290--- via R- > help > Sent: Wednesday, June 5, 2019 11:37 PM > To: ruipbarra...@sapo.pt; r-help@R-project.org; r-sig-...@r-project.org > Subject: Re: [R] Plotting more than one regression line in ggplot > > 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 0.0y 0. onepctCO2MEDIAN > 2 0.006794447y 4.90024902 onepctCO2MEDIAN > 3 0.014288058y 0.1607 onepctCO2MEDIAN > 4 0.022087920y 6.63491326 onepctCO2MEDIAN > 5 0.030797357y -1.24295056 onepctCO2MEDIAN > 6 0.038451072y 1.56433744 onepctCO2MEDIAN > 7 0.048087904y -2.26590352 onepctCO2MEDIAN > 8 0.058677729y 2.20700446 onepctCO2MEDIAN > 9 0.069261406y -2.36770013 onepctCO2MEDIAN > 10 0.080524530y -1.09135062 onepctCO2MEDIAN > 11 0.092760246y 0.40999399 onepctCO2MEDIAN > 12 0.103789609y -0.12597268 onepctCO2MEDIAN > 13 0.116953168y -2.41382534 onepctCO2MEDIAN > 14 0.129253298y 7.08902570 onepctCO2MEDIAN > 15 0.141710050y -0.75935388 onepctCO2MEDIAN > 16 0.156002052y 0.04544160 onepctCO2MEDIAN > 17 0.170648172y -1.53496826 onepctCO2MEDIAN > 18 0.185318425y 6.55242014 onepctCO2MEDIAN > 19 0.199463055y -0.83125628 onepctCO2MEDIAN > 20 0.213513337y -2.50991826 onepctCO2MEDIAN > 21 0.228839271y 0.13659682 onepctCO2MEDIAN > 22 0.246981293y -1.37198445 onepctCO2MEDIAN > 23 0.263012767y -0.87129883 onepctCO2MEDIAN > 24 0.278505564y 0.66325836 onepctCO2MEDIAN > 25 0.293658361y 0.79380363 onepctCO2MEDIAN > 26 0.310747266y 3.48806374 onepctCO2MEDIAN > 27 0.325990349y -4.46122081 onepctCO2MEDIAN > 28 0.342517540y 0.08717340 onepctCO2MEDIAN > 29 0.362751633y -1.41715777 onepctCO2MEDIAN > 30 0.380199537y -0.99565082 onepctCO2MEDIAN > 31 0.394992948y 0.32155262 onepctCO2MEDIAN > 32 0.414373398y 3.14038657 onepctCO2MEDIAN > 33 0.430690214y -0.73760988 onepctCO2MEDIAN > 34 0.449738145y -2.48605407 onepctCO2MEDIAN > 35 0.470167458y -3.42358584 onepctCO2MEDIAN > 36 0.489019871y 0.48247475 onepctCO2MEDIAN > 37 0.507242471y -0.97853863 onepctCO2MEDIAN > 38 0.524314284y 8.53596838 onepctCO2MEDIAN > 39 0.543750525y 5.48447420 onepctCO2MEDIAN > 40 0.564234197y 3.21493666 onepctCO2MEDIAN > 41 0.583679616y 3.91689160 onepctCO2MEDIAN > 42 0.601459444y 4.49070196 onepctCO2MEDIAN > 43 0.619924664y 6.54104103 onepctCO2MEDIAN > 44 0.639932007y 4.80686500 onepctCO2MEDIAN > 45 0.661347181y 8.15101701 onepctCO2MEDIAN > 46 0.684117317y 0.26974132 onepctCO2MEDIAN > 47 0.704829752y -0.18075007 onepctCO2MEDIAN > 48 0.725045770y 9.71812491 onepctCO2MEDIAN > 49 0.745165825y 1.54064657 onepctCO2MEDIAN > 50 0.765016139y -1.64760409 onepctCO2MEDIAN > 51 0.783461511y 4.80246029 onepctCO2MEDIAN > 52 0.806382924y 4.04215160 onepctCO2MEDIAN > 53 0.829241335y 9.37565122 onepctCO2MEDIAN > 54 0.849924415y 5.33050497 onepctCO2MEDIAN > 55 0.871352434y 7.54458026 onepctCO2MEDIAN > 56 0.893632233y 6.46795471 onepctCO2MEDIAN > 57 0.916052133y 2.80960651 onepctCO2MEDIAN > 58 0.938579470y 5.39216613 onepctCO2MEDIAN > 59 0.959907651y 7.20436888 onepctCO2MEDIAN > 60 0.981643587y 3.33508065 onepctCO2MEDIAN > 61 1.004116774y 8.86907070 onepctCO2MEDIAN > 62 1.028363466y 1.78612989 onepctCO2MEDIAN > 63 1.054009140y 6.25550382 onepctCO2MEDIAN > 64 1.072440803y 7.60792365 onepctCO2MEDIAN > 65 1.094457805y 7.68714831 onepctCO2MEDIAN > 66 1.123176277y 4.77877639 onepctCO2MEDIAN > 67
Re: [R] Plotting more than one regression line in ggplot
8289566y 2.66922982RCP4.5MEDIAN 182 0.917284978y -4.17757196RCP4.5MEDIAN 183 0.926128960y 3.40202916RCP4.5MEDIAN 184 0.934752874y -1.92292218RCP4.5MEDIAN 185 0.943010943y 6.36969150RCP4.5MEDIAN 186 0.950999217y 1.86490308RCP4.5MEDIAN 187 0.958795701y 8.32126161RCP4.5MEDIAN 188 0.966310396y 10.15048356RCP4.5MEDIAN 189 0.973635493y 6.68925964RCP4.5MEDIAN 190 0.980834088y -1.01615369RCP4.5MEDIAN 191 0.987694790y 0.20892853RCP4.5MEDIAN 192 0.994548581y -1.52787222RCP4.5MEDIAN 193 1.001274595y -0.72374597RCP4.5MEDIAN 194 1.007810612y 2.26062309RCP4.5MEDIAN 195 1.014270389y -2.40270340RCP4.5MEDIAN 196 1.022719711y -1.94548262RCP4.5MEDIAN 197 1.032070810y -1.13053235RCP4.5MEDIAN 198 1.041118812y 0.56107969RCP4.5MEDIAN 199 1.050189571y 3.27941835RCP4.5MEDIAN 200 1.059380475y 3.01333588RCP4.5MEDIAN 201 1.067877585y 4.87457336RCP4.5MEDIAN 202 1.076078766y 1.02457895RCP4.5MEDIAN 203 1.084707357y 4.49174869RCP4.5MEDIAN 204 1.093223180y 8.24629303RCP4.5MEDIAN 205 1.101414382y -0.03364132RCP4.5MEDIAN 206 1.108886304y 9.12509848RCP4.5MEDIAN 207 1.115482896y 1.74254621RCP4.5MEDIAN 208 1.121856558y 2.27004536RCP4.5MEDIAN 209 1.127809421y -0.65627179RCP4.5MEDIAN 210 1.133265961y 12.02566969RCP4.5MEDIAN 211 1.138549712y -1.04260843RCP4.5MEDIAN 212 1.143910237y -6.47611327RCP4.5MEDIAN 213 1.149437787y 8.88410567RCP4.5MEDIAN 214 1.154488347y -4.24916247RCP4.5MEDIAN 215 1.159872903y 7.90741918RCP4.5MEDIAN 216 1.165477487y -3.91386711RCP4.5MEDIAN 217 1.171103424y 1.02370701RCP4.5MEDIAN 218 1.177498256y -3.71206616RCP4.5MEDIAN 219 1.184003888y -1.05694182RCP4.5MEDIAN 220 1.190395856y 1.10501459RCP4.5MEDIAN 221 1.197284280y 2.67668639RCP4.5MEDIAN 222 1.204590551y 2.21693031RCP4.5MEDIAN 223 1.210807614y 2.90252830RCP4.5MEDIAN 224 1.216470664y 2.75093766RCP4.5MEDIAN 225 1.221914148y -0.73815245RCP4.5MEDIAN 226 1.227580480y 3.58554626RCP4.5MEDIAN 227 1.233317788y 10.89961658RCP4.5MEDIAN 228 1.238093406y 3.23374387RCP4.5MEDIAN 229 0.466622908y -1.92366466RCP8.5MEDIAN 230 0.474211509y 4.09292949RCP8.5MEDIAN 231 0.480383051y -0.84736312RCP8.5MEDIAN 232 0.486304903y -0.80597889RCP8.5MEDIAN 233 0.492151615y -0.50244413RCP8.5MEDIAN 234 0.499312643y 3.07785701RCP8.5MEDIAN 235 0.508859905y -6.15175322RCP8.5MEDIAN 236 0.518758845y -0.51590144RCP8.5MEDIAN 237 0.528675758y 3.33135956RCP8.5MEDIAN 238 0.538928423y 2.62280891RCP8.5MEDIAN 239 0.549621221y -6.90096009RCP8.5MEDIAN 240 0.560062840y -3.45706029RCP8.5MEDIAN 241 0.570860791y 1.36192518RCP8.5MEDIAN 242 0.581923368y 0.34822359RCP8.5MEDIAN 243 0.592628298y 3.06882935RCP8.5MEDIAN 244 0.604230648y -3.56142825RCP8.5MEDIAN 245 0.615975167y 10.35932554RCP8.5MEDIAN 246 0.627448279y 10.21751629RCP8.5MEDIAN 247 0.639401050y 3.31040335RCP8.5MEDIAN 248 0.651949591y -0.53558775RCP8.5MEDIAN 249 0.664634427y 2.66081860RCP8.5MEDIAN 250 0.677343552y 3.21379656RCP8.5MEDIAN 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 To: rain1290 ; r-help ; r-sig-geo 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(onepctC
Re: [R] Plotting more than one regression line in ggplot
On 6/5/19 9:57 AM, David Winsemius wrote: On 6/5/19 9:37 AM, rain1...@aim.com wrote: Hi David (and everyone), Thank you for your response. I changed the column names to x and y, but the error/warning persists: Warning message: Computation failed in `stat_smooth()`: 'what' must be a function or character string It is quite baffling as to why this is happening. Why would it work for the scatter plot and not the regression line? I'll add that I can reproduce a similar error but not the one you reported: > lm <- ggplot(onepctCO2MEDIAN) + + geom_point(aes(x,y), + colour="blue") + geom_smooth(aes(x,y), method=lm) > lm Warning message: Computation failed in `stat_smooth()`: 'what' must be a function or character string Rerunning after removing the `lm` data object allows successful execution: rm(lm) ggplot(onepctCO2MEDIAN) + geom_point(aes(x,y), colour="blue") + geom_smooth(aes(x,y), method=lm) So it's probably related to the non-standard evaluation where a function or a function name can be used and if there is a function name offered, the ggplot evaluation model first turns it into a character string and then accesses a data object instead of a function. I'm guessing this would be seen by the package maintainer in due course, but I'm copying him. -- David Since it works perfectly well on my machine, that means we are now lacking the required information (from you) that is generally delivered via `sessionInfo()`. I get: R version 3.5.2 (2018-12-20) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 18.04.1 LTS Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3 LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C [10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] ggplot2_3.1.1 zoo_1.8-5 loaded via a namespace (and not attached): [1] Rcpp_1.0.1 lattice_0.20-38 withr_2.1.2 assertthat_0.2.1 dplyr_0.8.0.1 [6] crayon_1.3.4 R6_2.4.0 grid_3.5.2 plyr_1.8.4 gtable_0.3.0 [11] magrittr_1.5 scales_1.0.0 pillar_1.3.1 rlang_0.3.4 lazyeval_0.2.2 [16] rstudioapi_0.10 labeling_0.3 tools_3.5.2 glue_1.3.1 purrr_0.3.2 [21] munsell_0.5.0 yaml_2.2.0 compiler_3.5.2 pkgconfig_2.0.2 colorspace_1.4-1 [26] tidyselect_0.2.5 tibble_2.1.1 I'm also running: RStudio Version 1.1.463 – © 2009-2018 RStudio, Inc. You should now restart a clean session, try again with just the required packages and report back with full code and data. Best; David -Original Message- From: David Winsemius To: r-help Sent: Wed, Jun 5, 2019 12:00 pm Subject: Re: [R] Plotting more than one regression line in ggplot On 6/5/19 8:04 AM, rain1290--- via R-help wrote: Hi Jeff (and everyone), Thank you for your response and feedback. Yes, I know what you mean - it was a blind and quick choice to use "lm" as my object name. Unfortunately, changing the object name to something else does not eliminate that error/warning message. As a result, the same error/warning appears when running it. Oddly enough, the scatter plot is just fine - it's the regression line that struggles to appear. Could there be another reason for that? Thanks, again, TRhe error came because you did not reference the column names correctly. This succeeds with the data you offered: ggplot(onepctCO2MEDIAN) + geom_jitter(aes(x,y), colour="blue") + geom_smooth(aes(x,y), method=lm) # At some point you changed the column names from (RCP1pctCO2cumulativeMedian, departurea) to (x,y) , but didn't adjust your code. Best; David. -Original Message- From: Jeff Newmiller To: rain1290 ; rain1290--- via R-help ; r-help ; r-sig-geo Sent: Wed, Jun 5, 2019 10:49 am Subject: Re: [R] Plotting more than one regression line in ggplot Please read the Posting Guide... posting HTML on a plain text mailing list really interferes with clear communication. If you had spent even a small amount of time working with R tutorials then you would know that "lm" is the name of a very basic, very important R function. However, you are defining your own object called "lm" that is very different indeed than the usual "lm" function. I would guess that in a clean new R workspace where you had not already run your ggplot function and assigned the result to your own "lm" object then this code might run. However, once you have run it once and try to run it again, your "method" argument gives the wr
Re: [R] Plotting more than one regression line in ggplot
On 6/5/19 9:37 AM, rain1...@aim.com wrote: > Hi David (and everyone), > > Thank you for your response. I changed the column names to x and y, > but the error/warning persists: > > Warning message: Computation failed in `stat_smooth()`: 'what' must be > a function or character string > > It is quite baffling as to why this is happening. Why would it work > for the scatter plot and not the regression line? Since it works perfectly well on my machine, that means we are now lacking the required information (from you) that is generally delivered via `sessionInfo()`. I get: R version 3.5.2 (2018-12-20) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 18.04.1 LTS Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3 LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C [10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] ggplot2_3.1.1 zoo_1.8-5 loaded via a namespace (and not attached): [1] Rcpp_1.0.1 lattice_0.20-38 withr_2.1.2 assertthat_0.2.1 dplyr_0.8.0.1 [6] crayon_1.3.4 R6_2.4.0 grid_3.5.2 plyr_1.8.4 gtable_0.3.0 [11] magrittr_1.5 scales_1.0.0 pillar_1.3.1 rlang_0.3.4 lazyeval_0.2.2 [16] rstudioapi_0.10 labeling_0.3 tools_3.5.2 glue_1.3.1 purrr_0.3.2 [21] munsell_0.5.0 yaml_2.2.0 compiler_3.5.2 pkgconfig_2.0.2 colorspace_1.4-1 [26] tidyselect_0.2.5 tibble_2.1.1 I'm also running: RStudio Version 1.1.463 – © 2009-2018 RStudio, Inc. You should now restart a clean session, try again with just the required packages and report back with full code and data. Best; David > > > -Original Message- > From: David Winsemius > To: r-help > Sent: Wed, Jun 5, 2019 12:00 pm > Subject: Re: [R] Plotting more than one regression line in ggplot > > > On 6/5/19 8:04 AM, rain1290--- via R-help wrote: > > Hi Jeff (and everyone), > > > > Thank you for your response and feedback. Yes, I know what you mean > - it was a blind and quick choice to use "lm" as my object name. > Unfortunately, changing the object name to something else does not > eliminate that error/warning message. As a result, the same > error/warning appears when running it. Oddly enough, the scatter plot > is just fine - it's the regression line that struggles to appear. > Could there be another reason for that? > > Thanks, again, > > > TRhe error came because you did not reference the column names > correctly. This succeeds with the data you offered: > > > ggplot(onepctCO2MEDIAN) + > geom_jitter(aes(x,y), > colour="blue") + geom_smooth(aes(x,y), method=lm) > > > # At some point you changed the column names from > (RCP1pctCO2cumulativeMedian, departurea) to (x,y) , but didn't adjust > your code. > > > Best; > > David. > > > > > -----Original Message- > > From: Jeff Newmiller > > To: rain1290 ; rain1290--- via R-help > ; r-help ; r-sig-geo > > > Sent: Wed, Jun 5, 2019 10:49 am > > Subject: Re: [R] Plotting more than one regression line in ggplot > > > > Please read the Posting Guide... posting HTML on a plain text > mailing list really interferes with clear communication. > > > > If you had spent even a small amount of time working with R > tutorials then you would know that "lm" is the name of a very basic, > very important R function. However, you are defining your own object > called "lm" that is very different indeed than the usual "lm" > function. I would guess that in a clean new R workspace where you had > not already run your ggplot function and assigned the result to your > own "lm" object then this code might run. However, once you have run > it once and try to run it again, your "method" argument gives the > wrong version of "lm" to geom_smooth and you confuse it. > > > > As the doctor said to the man pounding his own head against the > wall, "If it hurts, don't do that." Avoid re-using important object > names in R... some common names I see abused this way are df, data, c, > t, T, and F. Your choice was unusual, but quite effective at > illustrating the problem. > > > > On June 5, 2019 7:21:57 AM PDT, rain1290--- via R-help > wrote: > >> I am trying to plot, using ggplot, a series of scatter plot
Re: [R] Plotting more than one regression line in ggplot
Hi David (and everyone), Thank you for your response. I changed the column names to x and y, but the error/warning persists: Warning message: Computation failed in `stat_smooth()`: 'what' must be a function or character string It is quite baffling as to why this is happening. Why would it work for the scatter plot and not the regression line? -Original Message- From: David Winsemius To: r-help Sent: Wed, Jun 5, 2019 12:00 pm Subject: Re: [R] Plotting more than one regression line in ggplot On 6/5/19 8:04 AM, rain1290--- via R-help wrote: > Hi Jeff (and everyone), > > Thank you for your response and feedback. Yes, I know what you mean - it was > a blind and quick choice to use "lm" as my object name. Unfortunately, > changing the object name to something else does not eliminate that > error/warning message. As a result, the same error/warning appears when > running it. Oddly enough, the scatter plot is just fine - it's the regression > line that struggles to appear. Could there be another reason for that? > Thanks, again, TRhe error came because you did not reference the column names correctly. This succeeds with the data you offered: ggplot(onepctCO2MEDIAN) + geom_jitter(aes(x,y), colour="blue") + geom_smooth(aes(x,y), method=lm) # At some point you changed the column names from (RCP1pctCO2cumulativeMedian, departurea) to (x,y) , but didn't adjust your code. Best; David. > > -Original Message- > From: Jeff Newmiller > To: rain1290 ; rain1290--- via R-help > ; r-help ; r-sig-geo > > Sent: Wed, Jun 5, 2019 10:49 am > Subject: Re: [R] Plotting more than one regression line in ggplot > > Please read the Posting Guide... posting HTML on a plain text mailing list > really interferes with clear communication. > > If you had spent even a small amount of time working with R tutorials then > you would know that "lm" is the name of a very basic, very important R > function. However, you are defining your own object called "lm" that is very > different indeed than the usual "lm" function. I would guess that in a clean > new R workspace where you had not already run your ggplot function and > assigned the result to your own "lm" object then this code might run. > However, once you have run it once and try to run it again, your "method" > argument gives the wrong version of "lm" to geom_smooth and you confuse it. > > As the doctor said to the man pounding his own head against the wall, "If it > hurts, don't do that." Avoid re-using important object names in R... some > common names I see abused this way are df, data, c, t, T, and F. Your choice > was unusual, but quite effective at illustrating the problem. > > On June 5, 2019 7:21:57 AM PDT, rain1290--- via R-help > wrote: >> 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 0.0 0.000 >> 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 >> l
Re: [R] Plotting more than one regression line in ggplot
On 6/5/19 8:04 AM, rain1290--- via R-help wrote: Hi Jeff (and everyone), Thank you for your response and feedback. Yes, I know what you mean - it was a blind and quick choice to use "lm" as my object name. Unfortunately, changing the object name to something else does not eliminate that error/warning message. As a result, the same error/warning appears when running it. Oddly enough, the scatter plot is just fine - it's the regression line that struggles to appear. Could there be another reason for that? Thanks, again, TRhe error came because you did not reference the column names correctly. This succeeds with the data you offered: ggplot(onepctCO2MEDIAN) + geom_jitter(aes(x,y), colour="blue") + geom_smooth(aes(x,y), method=lm) # At some point you changed the column names from (RCP1pctCO2cumulativeMedian, departurea) to (x,y) , but didn't adjust your code. Best; David. -Original Message- From: Jeff Newmiller To: rain1290 ; rain1290--- via R-help ; r-help ; r-sig-geo Sent: Wed, Jun 5, 2019 10:49 am Subject: Re: [R] Plotting more than one regression line in ggplot Please read the Posting Guide... posting HTML on a plain text mailing list really interferes with clear communication. If you had spent even a small amount of time working with R tutorials then you would know that "lm" is the name of a very basic, very important R function. However, you are defining your own object called "lm" that is very different indeed than the usual "lm" function. I would guess that in a clean new R workspace where you had not already run your ggplot function and assigned the result to your own "lm" object then this code might run. However, once you have run it once and try to run it again, your "method" argument gives the wrong version of "lm" to geom_smooth and you confuse it. As the doctor said to the man pounding his own head against the wall, "If it hurts, don't do that." Avoid re-using important object names in R... some common names I see abused this way are df, data, c, t, T, and F. Your choice was unusual, but quite effective at illustrating the problem. On June 5, 2019 7:21:57 AM PDT, rain1290--- via R-help wrote: 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 0.0 0.000 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.6
Re: [R] Plotting more than one regression line in ggplot
Hello, And please don't cross post. You have asked both r-help@r-project.org and r-sig-...@r-project.org when you should have asked just one of them. This is a question for r-help@r-project.org Rui Barradas Às 15:52 de 05/06/19, Rui Barradas escreveu: 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 0.0 0.000 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 1.31389 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
Re: [R] Plotting more than one regression line in ggplot
Hi Jeff (and everyone), Thank you for your response and feedback. Yes, I know what you mean - it was a blind and quick choice to use "lm" as my object name. Unfortunately, changing the object name to something else does not eliminate that error/warning message. As a result, the same error/warning appears when running it. Oddly enough, the scatter plot is just fine - it's the regression line that struggles to appear. Could there be another reason for that? Thanks, again, -Original Message- From: Jeff Newmiller To: rain1290 ; rain1290--- via R-help ; r-help ; r-sig-geo Sent: Wed, Jun 5, 2019 10:49 am Subject: Re: [R] Plotting more than one regression line in ggplot Please read the Posting Guide... posting HTML on a plain text mailing list really interferes with clear communication. If you had spent even a small amount of time working with R tutorials then you would know that "lm" is the name of a very basic, very important R function. However, you are defining your own object called "lm" that is very different indeed than the usual "lm" function. I would guess that in a clean new R workspace where you had not already run your ggplot function and assigned the result to your own "lm" object then this code might run. However, once you have run it once and try to run it again, your "method" argument gives the wrong version of "lm" to geom_smooth and you confuse it. As the doctor said to the man pounding his own head against the wall, "If it hurts, don't do that." Avoid re-using important object names in R... some common names I see abused this way are df, data, c, t, T, and F. Your choice was unusual, but quite effective at illustrating the problem. On June 5, 2019 7:21:57 AM PDT, rain1290--- via R-help wrote: >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 0.0 0.000 > 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
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 0.0 0.000 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 1.31389 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 2.164026
Re: [R] Plotting more than one regression line in ggplot
Please read the Posting Guide... posting HTML on a plain text mailing list really interferes with clear communication. If you had spent even a small amount of time working with R tutorials then you would know that "lm" is the name of a very basic, very important R function. However, you are defining your own object called "lm" that is very different indeed than the usual "lm" function. I would guess that in a clean new R workspace where you had not already run your ggplot function and assigned the result to your own "lm" object then this code might run. However, once you have run it once and try to run it again, your "method" argument gives the wrong version of "lm" to geom_smooth and you confuse it. As the doctor said to the man pounding his own head against the wall, "If it hurts, don't do that." Avoid re-using important object names in R... some common names I see abused this way are df, data, c, t, T, and F. Your choice was unusual, but quite effective at illustrating the problem. On June 5, 2019 7:21:57 AM PDT, rain1290--- via R-help wrote: >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 0.0 0.000 > 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 1.31389 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
[R] Plotting more than one regression line in ggplot
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 0.0 0.000 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 1.31389 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
