I'm facing an issue with sorting bars when using facet_wrap
(which is commonly reported here, here and others) after group variables and get top values.
When I run the code without factor conversion, bars are ordered:
iris %>%
gather(key = measurements, value = values, - Species) %>%
mutate(kk = factor(measurements, levels = unique(.$measurements)),
species_l = with(., paste(Species, .$measurements, sep = "_"))) %>%
ggplot(aes(x = reorder(species_l, values),
y = values,
fill = kk)) +
geom_bar(stat = "identity") +
facet_wrap(.~kk,
scales = "free")
But now I want to order decreasingly bars within facet_wrap
and after top_n
.
Heres is what I've tried so far:
library(tidyverse)
iris %>%
gather(key = measurements, value = values, - Species) %>%
within(.,
Species <- factor(Species,
levels=names(sort(table(Species),
decreasing=FALSE)))) %>%
ggplot(aes(x = Species,
y = values,
fill = measurements)) +
geom_bar(stat = "identity") +
facet_wrap(.~ measurements,
scales = "free")
and this:
iris %>%
gather(key = measurements, value = values, - Species) %>%
group_by(measurements, Species) %>%
top_n(5, wt = values) %>%
ggplot(aes(x = reorder(Species, Species,
function(x)-length(x)),
y = values,
fill = measurements)) +
geom_bar(stat = "identity") +
facet_wrap(.~measurements,
scales = "free")
and this:
iris %>%
gather(key = measurements, value = values, - Species) %>%
mutate(kk = factor(measurements, levels = unique(.$measurements)),
species_l = with(., paste(Species, .$measurements, sep = "_"))) %>%
group_by(measurements, Species) %>%
top_n(5, wt = values) %>%
ungroup() %>%
ggplot(aes(x = reorder(species_l, values),
y = values,
fill = kk)) +
geom_bar(stat = "identity") +
facet_wrap(.~kk,
scales = "free")
As you can see Sepal.Width
bars are not sorted.