Sorry for this newbie question.

Assume I entered a super simple equation like:

y=2*x

Now I want to plot this graph/function in interval [-10,10]

How can I do this?

When I right-click on the equation I expected a context menu entry like "plot".
But there is no such context menu.

How else can I achieve this?

Peter

I should add a section on plotting in tutorial.

Insert> Plot> 2D

The axes control is via mouse wheel scrolling (try shift and ctrl keys) and panning

1. Shift+@ to get the plot canvas
2. enter the plot argument
3. Shift+Wheel mouse [shrink/expand X directions]
4. Ctrl+wheel mouse [shrink/expand Y directions]
5. Mouse left down to slide in either directions
6. once the initial default plot is done:
... click on plot, mouse wheel to zoom ± both directions

2D Plot Range.sm (8,9 KiB) scaricato 1981 volta(e).
2D Plot Range.sm (8,9 KiB) scaricato 1466 volta(e).
2D Plot Range CONSTRAIN.sm (12,93 KiB) scaricato 1488 volta(e).
2D Plot Range CONSTRAIN demo.sm (24,12 KiB) scaricato 1420 volta(e).

Wrote

Insert> Plot> 2D

Ok, thank you.

However I would like to have this function available as context menu of an entered function the paper.

Could this be added in the next version?

Wrote

However I would like to have this function available as context menu

Can you explain/exemplify ...
Do you mean: click on the plot for a drop down options menu ?

... there is a missing detail from all examples and tutorials.
The Smath 2D default plot is on the X/Y ranges ± 10.
By default as well, it plots on the canvas pixel
i.e: 96 ppi [Pixel per inch], thus the extremely fine trace,
much finer than Mathcad that plots on ½ pica [6 ppi].
If you want to set intervals otherwise: construct 2D discrete.

Jean

Egyptians had it their own ways [you know that]
For long time before the Egyptians, it is believed
the Mesopotamians had it much closer from "continued fractions".
"Pi" was approximated by various long empirical approximations [Legendre ...]
"Pi" was finally proved by Schwab [1813] => isoperimetres method.
Simon Plouffe [UQAM Montréal] method is pretty new, striking of simplicity.

The question is: can we devise some infinite numerical random suite to
approximate 'Pi' ... answer is NO ! Increase 'N' not to avail.

Jean

Random Monte Carlo Pi.sm (24,78 KiB) scaricato 1399 volta(e).