How to shade area between lines in ggplot2

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Luigi Marongiu
Sent: Friday, October 23, 2020 9:59 AM
To: r-help <r-help at r-project.org>
Subject: [R] How to shade area between lines in ggplot2

Hello,
I am running SVM and showing the results with ggplot2. The results include
the decision boundaries, which are two dashed lines parallel to a solid

would like to remove the dashed lines and use a shaded area instead. How
can I do that?
Here is the code I wrote..
```
library(e1071)
library(ggplot2)

set.seed(100)
x1 = rnorm(100, mean = 0.2, sd = 0.1)
y1 = rnorm(100, mean = 0.7, sd = 0.1)
y2 = rnorm(100, mean = 0.2, sd = 0.1)
x2 = rnorm(100, mean = 0.75, sd = 0.1)
df = data.frame(x = c(x1,x2), y=c(y1,y2),
                z=c(rep(0, length(x1)), rep(1, length(x2)))) df$z =

length(x1)), rep(1, length(x2)))) df[, "train"] <- ifelse(runif(nrow(df))

trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ] trainColNum

grep("train", names(df)) trainset <- trainset[, -trainColNum] testset <-

-trainColNum] head(trainset); str(df)

svm_model<- svm(z ~ .,
                data = trainset,
                type = "C-classification",
                kernel = "linear",
                scale = FALSE)

#! plot
p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
  geom_point() + scale_color_manual(values = c("red", "blue")) # show
decision boundaries w = t(svm_model$coefs) %*% svm_model$SV  # %*% =
matrix multiplication
slope_1 = -w[1]/w[2]
intercept_1 = svm_model$rho / w[2]
p = p + geom_abline(slope = slope_1, intercept = intercept_1) ### here we

can I use a shaded area between these two lines? ### p = p +
geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2],
                    linetype = "dashed") +
  geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2],
              linetype = "dashed")
print(p)

```

Thank you

--
Best regards,
Luigi