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  1. PO
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    <p>How about creating a new variable as a reference and colour the points by that? Seems to work provided you don't mind the points in the first 3 facets being coloured too.</p> <pre><code>mtcars$ref &lt;- as.factor(mtcars$gear) p &lt;- ggplot(mtcars, aes(mpg, wt)) + geom_point(aes(col=as.factor(gear))) p + facet_grid(.~ref, margins = TRUE) </code></pre> <p><img src="https://i.stack.imgur.com/airkb.png" alt="All points coloured by gear"></p> <p>EDIT: I have managed to get it to remove the colour key from the first 3 facets but not without playing around with the original data;</p> <p>Duplicate the original data (so there are 2 of each record) then instead of using a margin plot to produce the "all" facet, using the redundant records instead.</p> <pre><code>library(ggplot2) mtcars$ref &lt;- (mtcars$gear) # create the duplicate dat &lt;- do.call("rbind", replicate(2, mtcars, simplify = FALSE)) # give the duplicates a false value for "gear" so they can be plotted together #This value can then be used for faceting, grouping everything with "all". dat$ref[1:32] &lt;- "all" # where not in the "all" facet, change "gear" to one (so they are plotted with the same colour) dat$gear[dat$ref != "all"] &lt;- 1 # then plot using ref as the facet and gear to colour points. p &lt;- ggplot(dat, aes(mpg, wt)) + geom_point(aes(col=as.factor(gear))) p + facet_grid(.~ref, margins = F) </code></pre> <p><img src="https://i.stack.imgur.com/EhW4d.png" alt="Points only coloured by gear in final facet"></p> <p>I'm not sure that's the best way to go about it but perhaps someone with more expertise might be able to advise?</p>
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    1. POColouring points by factor within the margin of a faceted ggplot2 plot in R
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    1. POColouring points by factor within the margin of a faceted ggplot2 plot in R
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    1. COOk, thanks, that's a really good and straightforward idea! The only drawback is that in that case I don't see a way to remove the colours from the non-margin plots. Do you actually have any idea why `col(gear)` (or `col=(as.factor(gear))`) doesn't work, but `col=ref` does?
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    2. COIs the edit any better? Not the most elegant solution but hope it helps. I think its to do with defining both colour and faceting with the same variable, ggplot gives each facet its own colour.
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    3. CO@AnjaM you could try adding `scale_color_manual(values=c("black", "red", "green", "blue"))`. `col=(as.factor(gear))` won't work but `col=as.factor(gear)` should
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