Hello, @Alex89! The problem seems to be Jupyter not being able to handle R's `plot`

command interactively. I tried the following:

```
x = r([1,2,3,4,5])
y = r([2,3,4,5,2])
r.plot(x)
```

I got the `null device 1`

message, but my home folder (where I opened the Jupyter Notebook) now has a file called `Rplot001.png`

. So, Jupyter is delegating the plotting to another output device (PNG in this case).

However, I have an alternative for you:

```
x = r([1,2,3,4,5])
y = r([2,3,4,5,2])
list_plot(x.sage(), size=50)
```

The first two commands create R objects `x`

and `y`

. You can work with them in R language. For example,

```
print(~x)
print(x.mean())
print(x.var())
```

will print

```
[1] 1.0000000 0.5000000 0.3333333 0.2500000 0.2000000
[1] 3
[1] 2.5
```

Anyway, going back to the first piece of code, if you want to create an interactive plot in Jupyter, you should do it through Sage. If you see the last line, I first converted the R object `x`

to a Sage object with `x.sage()`

, and then I used the `list_plot()`

command from Sage, which creates a plot similar to R's `plot()`

command.

If you want a more R-looking plot, you can play with some options. For example,

```
list_plot(x.sage(), size=50, faceted=True, color='white', markeredgecolor='blue')
```

produces

I hope this helps!

**EDIT (for completeness):** As you can see on the figure, Sage's `list_plot`

assumes the default domain for the plot is ${0, 1, 2, 3, \ldots}$, while R's `plot`

assumes it to be ${1, 2, 3, \ldots}$. If you want to specify a different domain, you can check this related question. In particular, you can do

```
xs = x.sage()
xx = [(i+1,xs[i]) for i in range(len(xs))]
list_plot(xx, size=50, faceted=True, color='white', markeredgecolor='blue')
```

to use R's default domain, ${1, 2, 3, \ldots}$.