I have a plot similar to this
Using the following data:
Cultivar Date Weight sd n se
1 c39 d16 3.18 0.9566144 10 0.30250803
2 c39 d20 2.80 0.2788867 10 0.08819171
3 c39 d21 2.74 0.9834181 10 0.31098410
4 c52 d16 2.26 0.4452215 10 0.14079141
5 c52 d20 3.11 0.7908505 10 0.25008887
6 c52 d21 1.47 0.2110819 10 0.06674995
I did the plot with the following code:
ggplot(cabbage_exp, aes(x=Date, y=Weight, fill=Cultivar)) +
geom_bar(position="dodge") +
scale_fill_manual (values =c("#90353B", "burlywood1"))
What I would like to do: Assign different density/luminosity of colours to the C52 ( burlywood1
)depending on the value of se, so higher values of se have a darker tone and lower values a lighter yellow tone.
I have tried to nest the scale_colour_gradient2
in the scale_fill_manual
but but it didn't work. Is there any way to do this?
ggplot(cabbage_exp, aes(x=Date, y=Weight, fill=Cultivar)) +
geom_bar(position="dodge") +
scale_fill_manual (values =c("#90353B", scale_colour_gradient2(low="#22FF00", mid="white", high="#FF0000", midpoint=median(cabbage_exp$se))))
Just map se
to alpha
in the veins of:
library(ggplot2)
ggplot(cabbage_exp, aes(x=Date, y=Weight, fill=Cultivar, alpha = se)) +
geom_bar(position="dodge", stat = "identity") +
scale_alpha(range = c(.5, 1)) +
scale_fill_manual (values =c("#90353B", "burlywood1"))
This creates alpha values ranging from 0.5 to 1 (= opaque).
Edit:
If you just want 1 color to be transparent, add another alpha column eg like this:
cabbage_exp$alpha[cabbage_exp$Cultivar == "c52"] <- scales::rescale(cabbage_exp$se[cabbage_exp$Cultivar == "c52"], to = c(.5, 1))
ggplot(cabbage_exp, aes(x=Date, y=Weight, fill=Cultivar, alpha = alpha)) +
geom_bar(position="dodge", stat = "identity") +
scale_alpha(range = c(.5, 1)) +
scale_fill_manual (values =c("#90353B", "burlywood1"))
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