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From: Jérémie Lumbroso <jeremie.lumbroso@gm...>  20091101 19:37:35

Hello, I am currently trying to build gnuplot on Mac OS X, Snow Leopard. Aquaterm is obsolete as it does not have a 64 bit version, and so I am trying to NOT use it, but, apparently that is not planned. I have removed aquaterm from my system (well, did "sudo port uninstall aquaterm"), and I have tried using the configure options withoutaqua or disableaqua to no avail, configure keep detecting aqua. I have tried changing the symbol in config.h, but that hasn't worked either. Whatever I do, it seems like I end up with a version of gnuplot which works, but which always complains on startup that "aqua" does not exist, and sets terminal to "unknown". I am trying to completely avoid aquaterm, and instead use x11 as default terminal (and yes, I've tried passing DDEFAULTTERM=\"x11\" in the flags, but that doesn't seem to work either). What am I doing wrong? Best regards, Jeremie L. (Kindly CC' me in any reply.) 
From: Allin Cottrell <cottrell@wf...>  20091101 17:27:38

On Sun, 1 Nov 2009, Lutz Maibaum wrote: > On Sun, Nov 1, 2009 at 8:42 AM, Allin Cottrell <cottrell@...> wrote: > > I'd like to plot two probability distribution curves together (in > > a 2D graph), one a continuous pdf (e.g. Gaussian) and the other > > discrete (e.g. Poisson or binomial). > > > > I can get a nice plot of each, separately, by setting a high > > "samples" value for the continuous distribution and an appropriate > > low value, corresponding to the number of integer values in the x > > or trange, for the discrete one. But in a 2D plot there's only > > one "samples" setting available. > > Maybe you could downsample inside the evaluation of the discrete > function, something like this: > > rnd(x)=int(x+0.5) > f(x)=exp(x) > g(x)=f(rnd(x)) > plot [0:5] f(x), g(x) > > Hope this helps, Indeed, that's the solution. Thanks! Allin Cottrell 
From: Lutz Maibaum <lutz.maibaum@gm...>  20091101 17:07:59

On Sun, Nov 1, 2009 at 8:42 AM, Allin Cottrell <cottrell@...> wrote: > I'd like to plot two probability distribution curves together (in > a 2D graph), one a continuous pdf (e.g. Gaussian) and the other > discrete (e.g. Poisson or binomial). > > I can get a nice plot of each, separately, by setting a high > "samples" value for the continuous distribution and an appropriate > low value, corresponding to the number of integer values in the x > or trange, for the discrete one. But in a 2D plot there's only > one "samples" setting available. Maybe you could downsample inside the evaluation of the discrete function, something like this: rnd(x)=int(x+0.5) f(x)=exp(x) g(x)=f(rnd(x)) plot [0:5] f(x), g(x) Hope this helps, Lutz 
From: Allin Cottrell <cottrell@wf...>  20091101 16:42:48

I'd be much obliged if anyone has a clever suggestion for solving this problem: I'd like to plot two probability distribution curves together (in a 2D graph), one a continuous pdf (e.g. Gaussian) and the other discrete (e.g. Poisson or binomial). I can get a nice plot of each, separately, by setting a high "samples" value for the continuous distribution and an appropriate low value, corresponding to the number of integer values in the x or trange, for the discrete one. But in a 2D plot there's only one "samples" setting available. I realize that instead of using a formula (as in the continuous case), I could precompute a set of "data points" for the discrete distribution and treat it as one would empirical data, but that's not very convenient in context. (I'd like to be able to do this programmatically, for many sets of distributions with various parameters, so a formulabased solution is desirable.) It would be nice if one could attach a "samples" parameter to a line style specification, as in set style line 1 samples 200 ... set style line 2 samples 16 ... but maybe I'm missing something that makes that unnecessary?  Allin Cottrell Department of Economics Wake Forest University 