So I have a dataframe like this:
a_data <-
data.frame(
f = f,
alpha = alpha,
asymptote = alpha_1_est)
and a function like this:
a_formula <- function(x) {
0.7208959 - 0.8049132 * exp(-21.0274 * x)}
I use them with ggplot2:
ggplot(a_data, aes(x = f, y = alpha)) +
geom_point() +
#function curve
stat_function(fun = a_formula,
color = "red") +
#asymptote of alpha
geom_hline(
yintercept = asymptote,
linetype = "longdash",
color = "blue")
which yields a plot like this:
what I want and can't find a way to do is to shade the area between the y
axis, the function curve (red) and the asymptote line (dashed), like this:
I have tried to squeeze a ribbon or a polygon in there, but it doesn't work correctly - maybe it's because I want to shade above the curve, not below (below works just fine).
This is how the dataframe looks like:
> head(a_data)
f alpha asymptote
1 0.01 0.007246302 0.7208959
2 0.03 0.374720198 0.7208959
3 0.05 0.484362949 0.7208959
4 0.07 0.540090209 0.7208959
5 0.09 0.625383303 0.7208959
6 0.11 0.590898201 0.7208959
P.S. I am fairly new to stackoverflowing, so if I broke any convention or otherwise messed up the question, don't hesitate to point it out.
The example below shows how geom_ribbon
can be conveniently used for coloring the area between the horizontal line and the curve.
df1 <- structure(list(x = c(0.01, 0.03, 0.05, 0.07, 0.09, 0.11), y = c(0.007246302,
0.374720198, 0.484362949, 0.540090209, 0.625383303, 0.590898201
), asymptote = c(0.7208959, 0.7208959, 0.7208959, 0.7208959,
0.7208959, 0.7208959)), .Names = c("x", "y", "asymptote"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6"))
a_formula <- function(x) { 0.7208959 - 0.8049132*exp(-21.0274*x) }
xs <- seq(min(df1$x),max(df1$x),length.out=100)
ysmax <- rep(0.7208959, length(xs))
ysmin <- a_formula(xs)
df2 <- data.frame(xs, ysmin, ysmax)
library(ggplot2)
ggplot(data=df1) + geom_point(aes(x=x, y=y)) +
geom_line(aes(x=x, y=asymptote), lty=2, col="blue", lwd=1) +
stat_function(fun = a_formula, color="red", lwd=1) +
geom_ribbon(aes(x=xs, ymin=ysmin, ymax=ysmax), data=df2, fill="#BB000033")
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