YuLab-SMU
Log scale
Is there a way to log scale a geom_fruit facet without simultaneously log scaling the underlying phylogeny?
The geom_fruit layer and the tree layer are on the same panel. the original scales x functions of ggplot2 are not compatible with geom_fruit. I think we might need to develop some similar scales functions for the x axis of geom_fruit layer. Now, I think you can use the log in the aes function, and you can refer to the example below.
library(ggplot2)
library(ggtree)
library(ggtreeExtra)
set.seed(123)
tr <- rtree(100)
dd = data.frame(id=tr$tip.label, value=abs(rnorm(100)))
p <- ggtree(tr)
p1 <- p +
geom_fruit(
data = dd,
geom = geom_col,
mapping = aes(x = log10(value), y=id),
orientation = "y",
offset = 0.5,
pwidth = 0.5,
grid.params=list(),
axis.params=list(axis="x", text.size = 2)
)
p1
Maybe slightly in line with this question: Does this also mean that it is not possible to manually set the axis limits of geom_fruit layers? I looked into xlim_expand function (package: ggtree) but I was unable to find an equivalent to "panel"-name of this function.
Yes, the axis limits of geom_fruit can not be set manually now. The grid line and axis of geom_fruit are the line layers generated by ggplot2, which are not the coord of ggplot2.
Is there a workaround for this particular issue, especially with regards to using log-scales on data that you also want to present means and errors on (like here)? I trying to show levels of gene expression across a gene family using means + SE, but this needs a log scale because of variation between genes. Using geom_fruit_list I can either (1) generate a plot with the means and SE but many values are too small to see, (2) generate a plot with the means pre-log transformed before plotting but then the SE values are not properly mapped because they cannot come from log transformations of the calculated SE, or (3) pre-transform the raw data and plot it but then the scale is too small to see? I have attached some screenshots to demonstrate all three issues in order below:
