Using two variables for fill parameter in ggplot

Question

Similar questions have been asked before (e.g., one; two), however, the answers seem to be missing the point; also, my question is slightly different. Here is the base plot:

And this is the code that created it:

p1 <- ggplot(data=a2.st, aes(x=Type, y=lFreq, fill=factor(Hit))) +
    geom_bar(position='stack', stat='identity', width=0.5) +
    scale_x_discrete(name='Type',
        breaks=breaks, labels=labels) +
    scale_y_continuous('Frequency', limits=c(0, 240)) +
    scale_fill_manual(values=c('#d95f02','#1b9e77'), name='Hit:',
        breaks=c('0','1'),
        labels=c('yes','no')) +
    theme(plot.title=element_text(hjust=0.5),
        axis.text.x=element_text(size=10, angle=45, vjust=1, hjust=1),
        axis.text.y=element_text(size=11),
        axis.title=element_text(size=12),
        legend.text=element_text(size=10))
p1

Instead of one stacked bar for a level of Type, is there a way to add three more bars such that Type differentiates between four levels of another variable? In other words, each Type would group four levels of variable Level.

Zé Loff · Accepted Answer · 2024-01-25 10:59:13Z

1

You can try using interaction() to specify the fill (e.g. fill = interaction(Type, Level)) or create it as a separate variable beforehand, if its easier, and then specify a scale_fill_manual to make sure you get the colors right.

In my experience, the hard part is producing a legend that is not horrible. The best strategy I've found is the one used to make bivariate choropleths, but it is a lot of work, and might be overkill for your needs.

edited Jan 25, 2024 at 10:59

answered Jan 25, 2024 at 10:47

Zé Loff

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striatum · Accepted Answer · 2024-01-28 17:23:42Z

0

After some exploration, it seems more efficient to use a mosaic plot utilising the power of ggmosaic package, for example:

require(ggmosaic)

newdf = olddf[rep(1:nrow(olddf), olddf$Freq),]
mosaic1 <- ggplot(data=newdf) +
  geom_mosaic(aes(x=product(Hit, Type, Level), fill=Hit)) +
  theme(axis.text.x=element_text(angle=90, hjust=1, vjust=0.5)) + 
  labs(y='Y', x='X', title='TITLE')
mosaic1

Fantastic resource can be found here: Generalized Mosaic Plots in the ggplot2 Framework

answered Jan 28, 2024 at 17:23

striatum

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