I am working on a boxplot with forecast and observations which is quite long dataset. I am providing a sample format here.

```
> forecasts <- data.frame(f_type = c(rep("A", 9), rep("B", 9)),
Date = c(rep(as.Date("2007-01-31"),3), rep(as.Date("2007-02-28"), 3), rep(as.Date("2007-03-31"), 3), rep(as.Date("2007-01-31"), 3), rep(as.Date("2007-02-28"), 3), rep(as.Date("2007-03-31"), 3)),
value = c(10, 50, 60, 05, 90, 20, 30, 46, 39, 69, 82, 48, 65, 99, 75, 15 ,49, 27))
>
> observation <- data.frame(Dt = c(as.Date("2007-01-31"), as.Date("2007-02-28"), as.Date("2007-03-31")),
obs = c(30,49,57))
```

So far I have:

```
ggplot() +
geom_boxplot(data = forecasts,
aes(x = as.factor(Date), y = value,
group = interaction(Date, f_type), fill = f_type)) +
geom_line(data = observations,
aes(x = as.factor(Dt), y = obs, group = 1),
size = 2)
```

With this the box and whiskers are set by default. I want to assign these values so that I will know the extent of the whiskers. I have tried to pass a function with stat_summary with like:

```
f <- function(x) {
r <- quantile(x, probs = c(0.05, 0.25, 0.5, 0.75, 0.95))
names(r) <- c("ymin", "lower", "middle", "upper", "ymax")
r
}
o <- function(x) {
subset(x, x < quantile(x,probs = 0.05) | quantile(x,probs = 0.95) < x)
}
ggplot(forecasts, aes(x = as.factor(Date), y = value)) +
stat_summary(fun.data = f, geom = "boxplot", aes(group = interaction(Date, f_type), fill = f_type)) +
stat_summary(fun.y = o, geom = "point")
```

But, with this the groups are messed up. This produces stacked up plots. Does anyone how to accomplish this?