# A tibble: 8 × 4
measurement log2_fc locus operon
<chr> <dbl> <chr> <chr>
1 transcriptome 1 PA3552 arn
2 transcriptome 1.5 PA3553 arn
3 proteome NA PA3552 arn
4 proteome 2 PA3553 arn
5 transcriptome 2.5 PA1179 opr
6 transcriptome 3 PA1180 opr
7 proteome NA PA1179 opr
8 proteome NA PA1180 opr
plot <- ggplot(data=x,aes(x=locus,y=log2_fc,color=measurement)) +
geom_jitter()
plot + facet_wrap(~operon, ncol=2)
I'm working with the code above to create a plot comparing log2_fc of genes as obtained through two different measurement methods. I want to separate the plot out by the operon that the genes belong to but I would like to only have the genes in that operon plotted along the x axis in each facet. Currently it is creating the plot below:
Is there a way to only plot each locus value once along the x axis and still have the data separated by operon?
You just need to free the x axis:
plot + facet_wrap(~operon, ncol=2, scales = "free_x")
Without specifying scales = "free_x"
, ggplot defaults to identical axes with the same limits and breaks.