Using this small dataset:
df <- structure(list(colour = structure(c(1L, 2L, 1L, 2L), .Label = c("Black",
"White"), class = "factor"), variable = c("A", "A", "B", "B"),
value = c(1, 2, 0.74, 0.85)), row.names = c(NA, -4L), .Names = c("colour",
"variable", "value"), class = "data.frame")
I can easily create a vertical stacked barplot with ggvis
library(ggvis)
df %>%
ggvis(x=~variable, y=~value, fill=~colour) %>%
group_by(colour) %>%
layer_bars()
But I cannot figure out how to have a horizontal stacked barplot. I think I am somehow supposed to use layer_rects
but the best I could get so far was just one group plotted.
df %>%
ggvis(x =~value, y=~variable, fill =~ colour) %>%
group_by(colour) %>%
layer_rects(x2 = 0, height = band())
That's because layer_bars()
stacks automatically, layer_rects()
doesn't. You need to be explicit about the stacks using compute_stack()
.
df %>%
ggvis(y = ~variable, fill = ~colour) %>%
compute_stack(stack_var = ~value, group_var = ~variable) %>%
layer_rects(x = ~stack_lwr_, x2 = ~stack_upr_, height = band())
Which gives:
Note: Looking at this code, you might wonder where the stack_lwr_
and stack_upr_
arguments come from. Take a look at the source code to see how it works under the hood
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