how to define fill colours in ggplot histogram?
I have the following simple data
data <- structure(list(status = c(9, 5, 9, 10, 11, 10, 8, 6, 6, 7, 10,
10, 7, 11, 11, 7, NA, 9, 11, 9, 10, 8, 9, 10, 7, 11, 9, 10, 9,
9, 8, 9, 11, 9, 11, 7, 8, 6, 11, 10, 9, 11, 11, 10, 11, 10, 9,
11, 7, 8, 8, 9, 4, 11, 11, 8, 7, 7, 11, 11, 11, 6, 7, 11, 6,
10, 10, 9, 10, 10, 8, 8, 10, 4, 8, 5, 8, 7), statusgruppe = c(0,
0, 0, 1, 1, 1, 0, 开发者_如何学Go0, 0, 0, 1, 1, 0, 1, 1, 0, NA, 0, 1, 0, 1,
0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1,
1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0,
1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0)), .Names = c("status",
"statusgruppe"), class = "data.frame", row.names = c(NA, -78L
))
from that I'd like to make a histogram:
ggplot(data, aes(status))+
geom_histogram(aes(y=..density..),
binwidth=1, colour = "black",
fill="white")+
theme_bw()+
scale_x_continuous("Staus", breaks=c(min(data$status,na.rm=T), median(data$status, na.rm=T), max(data$status, na.rm=T)),labels=c("Low", "Middle", "High"))+
scale_y_continuous("Percent", formatter="percent")
Now - i'd like for the bins to take colou according to value - e.g. bins with value > 9 gets dark grey - everything else should be light grey.
I have tried with fill=statusgruppe
, scale_fill_grey(breaks=9)
etc. - but I can't get it to work. Any ideas?
Hopefully this should get you started:
ggplot(data, aes(status, fill = ..x..))+
geom_histogram(binwidth = 1) +
scale_fill_gradient(low = "black", high = "white")
ggplot(data, aes(status, fill = ..x.. > 9))+
geom_histogram(binwidth = 1) +
scale_fill_grey()
How about using fill=..count..
or fill=I(..count..>9)
right after y=..density..
? You have to tinker with the legend title and labels a bit, but it gets the coloring right.
EDIT:
It seems I misunderstood your question a bit. If you want to define color based on the x-coordinate, you can use the ..x..
automatic variable similarly.
What about scale_manual
? Here's link to Hadley's site. I've used this function to set an appropriate fill colour for a boxplot. Not sure if it'll work with histogram, though...
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