How can I reverse only the x-axis position my error bars are plotted along, but not the line? Or any way to plot a dose-response curve with error bars

Drug1 = a dataframe of drug concentration (V2) and measured response (response)

response V2
102.5303783 1896
102.5050507 948.2
100.3063443 474.1
100.2961096 237.1
89.3452755 118.5
38.90199925 59.26
15.41198625 29.63
10.33549066 14.22
10.96631549 7.112
2.669522625 3.556
-0.597990565 1.778
-7.09484506 0.8297

Using the tidydrc package, I fit an LL.4 model:

drug1.LL4 <- tidydrc_model(drug1, V2, response, model = LL.4())

I plot the curve - looks perfect :

tidydrc_plot(drug1.LL4,ed50=FALSE)  + scale_x_log10()

Each point is the mean. I want to add error bars (standard error of mean) based on my four replicates. I go back to a different dataset containing four replicates, and follow this tutorial I found to calculate standardard error . My result is a dataframe called tgc2:

variable N value sd se ci
0.8297 4 -7.09484506 2.350358363 1.175179181 3.739944644
1.778 4 -0.597990565 5.320693227 2.660346613 8.466410251
3.556 4 2.669522625 7.608666393 3.804333196 12.10708612
7.112 4 10.96631549 11.38786336 5.69393168 18.12063184
14.22 4 10.33549066 0.737991633 0.368995816 1.174309372
29.63 4 15.41198625 1.218442351 0.609221175 1.938813679
59.26 4 38.90199925 1.443234999 0.7216175 2.296508946
118.5 4 89.3452755 2.284661761 1.14233088 3.635406689
237.1 4 100.2961096 0.182323318 0.091161659 0.290117085
474.1 4 100.3063443 2.232914056 1.116457028 3.553064543
948.2 4 102.5050507 0.042179293 0.021089646 0.067116667
1896 4 102.5303783 0.065724222 0.032862111 0.104581904

Now I try to go back and add the error bars to the original data plot, by doing this :

tidydrc_plot(drug1.LL4,ed50=FALSE)  + scale_x_log10() + geom_errorbar(aes(ymin=tgc2$value-tgc2$se, ymax=tgc2$value+tgc2$se, x=drug1.LL4[[1]][[1]]$d, y=drug1.LL4[[1]][[1]]$r))

However, what I get is this :

You can see that the y-position of the error bars is exactly correct. But the x-position is not.

How can I fix this?

Can you do a full reprex and I can have a proper look for you? (See here: FAQ: How to do a minimal reproducible example ( reprex ) for beginners)