Am 17.06.2024 um 14:03 schrieb Riccardo (Jack) Lucchetti:
 On 17/06/2024 12:54, Sven Schreiber wrote:
> But still a histogram certainly has its role. The doc for the 
> relevant 'freq' command mentions that the numerical histogram can be 
> accessed via $result. I guess that can be used (in a loop) to 
> construct the needed plot with your gnuplot magic. Right now I don't 
> have time to look into this further.
 Up to a point, I'm afraid: the $result for continuous data gives you 
 the midpoint, but not the boundaries of the bin. And these can be 
 different from variable to variable, so that'd be tricky. 
Yes; however, you can set a uniform pattern with --min=... and 
--bindwidth=....
I'd argue that if you want a histogram and not a smoothed density, then 
it makes sense to use the same bins when you plan to plot them together. 
The first plot example with R in the link given by Chris also does this, 
I think. Of course, you still need an algorithm to set a sensible min 
and width value.
> (Apart from the other thing that is mentioned in the freq doc, namely 
> that the aggregate() function can be used. That's certainly true, but 
> it doesn't give an example of how exactly. A challenge for you!?) 
 open mroz87.gdt
 eval aggregate(const, WE)
 
Well, this is again a discrete frequency distribution, not a histogram. 
Maybe the freq help implicitly only has the discrete case in mind.
thanks
sven