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Luigi Marongiu

2020-Oct-23 07:58 UTC

[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 line. I 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$z = factor(c(rep(0, length(x1)), rep(1, length(x2))))
df[, "train"] <- ifelse(runif(nrow(df)) < 0.8, 1, 0)
trainset <- df[df$train == 1, ]
testset <- df[df$train == 0, ]
trainColNum <- grep("train", names(df))
trainset <- trainset[, -trainColNum]
testset <- 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 go: 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

PIKAL Petr

2020-Oct-23 08:26 UTC

head link

[R] How to shade area between lines in ggplot2

Hi

Did you try google? I got several answers using your question

e.g.
https://stackoverflow.com/questions/54687321/fill-area-between-lines-using-g
gplot-in-r

Cheers
Petr
> -----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
line. I> 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$z
factor(c(rep(0,
> length(x1)), rep(1, length(x2)))) df[, "train"] <-
ifelse(runif(nrow(df))
< 0.8, 1, 0)> trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
trainColNum
<-> grep("train", names(df)) trainset <- trainset[, -trainColNum]
testset <-
testset[,> -trainColNum] head(trainset); str(df)
> 
> svm_model<- svm(z ~ .,
>                 data = trainset,
>                 type = "C-classification",
>                 kernel = "linear",
>                 scale = FALSE)
> 
> #! plot
> p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
>   geom_point() + scale_color_manual(values = c("red",
"blue")) # show
> decision boundaries w = t(svm_model$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
go:> 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
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.

Luigi Marongiu

2020-Oct-23 08:57 UTC

head link

[R] How to shade area between lines in ggplot2

I don't know if I can find a case similar to my need.
I tried with:
```
p = p + geom_abline(slope = slope_1, intercept = intercept_1, col
"royalblue4")
p = p + geom_line() +
  geom_hline(yintercept = 5) +
  theme_classic() +
  geom_ribbon(aes(ymin=intercept_1 - 1/w[2],ymax=intercept_1 +
1/w[2]), fill="blue")
```
but did not work.
Thanks anyway

On Fri, Oct 23, 2020 at 10:26 AM PIKAL Petr <petr.pikal at precheza.cz>
wrote:>
> Hi
>
> Did you try google? I got several answers using your question
>
> e.g.
>
https://stackoverflow.com/questions/54687321/fill-area-between-lines-using-g
> gplot-in-r
>
> Cheers
> Petr
>
> > -----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
> line. I
> > 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$z >
factor(c(rep(0,
> > length(x1)), rep(1, length(x2)))) df[, "train"] <-
ifelse(runif(nrow(df))
> < 0.8, 1, 0)
> > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
trainColNum
> <-
> > grep("train", names(df)) trainset <- trainset[,
-trainColNum] testset <-
> testset[,
> > -trainColNum] head(trainset); str(df)
> >
> > svm_model<- svm(z ~ .,
> >                 data = trainset,
> >                 type = "C-classification",
> >                 kernel = "linear",
> >                 scale = FALSE)
> >
> > #! plot
> > p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
> >   geom_point() + scale_color_manual(values = c("red",
"blue")) # show
> > decision boundaries w = t(svm_model$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
> go:
> > 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
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-
> > guide.html
> > and provide commented, minimal, self-contained, reproducible code.


-- 
Best regards,
Luigi

Luigi Marongiu

2020-Oct-23 09:03 UTC

head link

[R] How to shade area between lines in ggplot2

I tried from this website
https://community.rstudio.com/t/fill-area-between-lines-using-ggplot-in-r/35355/2
it looked promising but did not work for me:
```
#! plot
p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
  geom_point() + scale_color_manual(values = c("red",
"blue"))
# show support vectors
df_sv = trainset[svm_model$index, ]
p = p + geom_point(data = df_sv, aes(x=x, y=y),
                   color="purple", size=4, alpha=0.5)
# show hyperplane (decision boundaries are off set by 1/w[2])
w = t(svm_model$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, col
"royalblue4")
p = p + geom_ribbon(aes(ymin = intercept_1 - 1/w[2],
                        ymax = intercept_1 + 1/w[2]), fill = "grey70")
```

On Fri, Oct 23, 2020 at 10:26 AM PIKAL Petr <petr.pikal at precheza.cz>
wrote:>
> Hi
>
> Did you try google? I got several answers using your question
>
> e.g.
>
https://stackoverflow.com/questions/54687321/fill-area-between-lines-using-g
> gplot-in-r
>
> Cheers
> Petr
>
> > -----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
> line. I
> > 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$z >
factor(c(rep(0,
> > length(x1)), rep(1, length(x2)))) df[, "train"] <-
ifelse(runif(nrow(df))
> < 0.8, 1, 0)
> > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
trainColNum
> <-
> > grep("train", names(df)) trainset <- trainset[,
-trainColNum] testset <-
> testset[,
> > -trainColNum] head(trainset); str(df)
> >
> > svm_model<- svm(z ~ .,
> >                 data = trainset,
> >                 type = "C-classification",
> >                 kernel = "linear",
> >                 scale = FALSE)
> >
> > #! plot
> > p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
> >   geom_point() + scale_color_manual(values = c("red",
"blue")) # show
> > decision boundaries w = t(svm_model$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
> go:
> > 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
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-
> > guide.html
> > and provide commented, minimal, self-contained, reproducible code.


-- 
Best regards,
Luigi

Luigi Marongiu

2020-Oct-23 09:10 UTC

head link

[R] How to shade area between lines in ggplot2

also from this site: https://plotly.com/ggplot2/geom_ribbon/
I get the answer is geom_ribbon but I am still missing something
```
#! plot
p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
  geom_point() + scale_color_manual(values = c("red",
"blue"))
# show support vectors
df_sv = trainset[svm_model$index, ]
p = p + geom_point(data = df_sv, aes(x=x, y=y),
                   color="purple", size=4, alpha=0.5)
# show hyperplane (decision boundaries are off set by 1/w[2])
w = t(svm_model$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, col
"royalblue4")
p = p +     geom_ribbon(aes(ymin=intercept_1 - 1/w[2],
                            ymax=intercept_1 + 1/w[2],
                            x=x, fill = "band"), alpha = 0.3) +
  scale_fill_manual("",values="grey12")
```

On Fri, Oct 23, 2020 at 10:26 AM PIKAL Petr <petr.pikal at precheza.cz>
wrote:>
> Hi
>
> Did you try google? I got several answers using your question
>
> e.g.
>
https://stackoverflow.com/questions/54687321/fill-area-between-lines-using-g
> gplot-in-r
>
> Cheers
> Petr
>
> > -----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
> line. I
> > 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$z >
factor(c(rep(0,
> > length(x1)), rep(1, length(x2)))) df[, "train"] <-
ifelse(runif(nrow(df))
> < 0.8, 1, 0)
> > trainset <- df[df$train == 1, ] testset <- df[df$train == 0, ]
trainColNum
> <-
> > grep("train", names(df)) trainset <- trainset[,
-trainColNum] testset <-
> testset[,
> > -trainColNum] head(trainset); str(df)
> >
> > svm_model<- svm(z ~ .,
> >                 data = trainset,
> >                 type = "C-classification",
> >                 kernel = "linear",
> >                 scale = FALSE)
> >
> > #! plot
> > p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
> >   geom_point() + scale_color_manual(values = c("red",
"blue")) # show
> > decision boundaries w = t(svm_model$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
> go:
> > 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
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-
> > guide.html
> > and provide commented, minimal, self-contained, reproducible code.


-- 
Best regards,
Luigi

Rui Barradas

2020-Oct-23 16:13 UTC

head link

[R] How to shade area between lines in ggplot2

Hello,

What about this?


straightline <- function(x, slope, intercept) slope*x + intercept

p <- ggplot(data = trainset, aes(x=x, y=y, color=z)) +
   geom_point() +
   geom_ribbon(aes(ymin = straightline(x, slope_1, intercept_1 + 1/w[2]),
                   ymax = straightline(x, slope_1, intercept_1 - 1/w[2])),
               color = NA, fill = "grey", alpha = 0.5) +
   geom_abline(slope = slope_1, intercept = intercept_1) +
   scale_color_manual(values = c("red", "blue"))

p


Note that now the middle line is drawn last. Otherwise it will be greyed 
by the ribbon.

Hope this helps,

Rui Barradas

?s 08:58 de 23/10/20, Luigi Marongiu escreveu:> 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 line. I 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$z = factor(c(rep(0, length(x1)), rep(1, length(x2))))
> df[, "train"] <- ifelse(runif(nrow(df)) < 0.8, 1, 0)
> trainset <- df[df$train == 1, ]
> testset <- df[df$train == 0, ]
> trainColNum <- grep("train", names(df))
> trainset <- trainset[, -trainColNum]
> testset <- testset[, -trainColNum]
> head(trainset); str(df)
> 
> svm_model<- svm(z ~ .,
>                  data = trainset,
>                  type = "C-classification",
>                  kernel = "linear",
>                  scale = FALSE)
> 
> #! plot
> p = ggplot(data = trainset, aes(x=x, y=y, color=z)) +
>    geom_point() + scale_color_manual(values = c("red",
"blue"))
> # show decision boundaries
> w = t(svm_model$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 go: 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
>

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