An SWI Prolog library to plot ggplot2 charts for Cplint on SWISH.
This library is to be used with Cplint on SWISH.
At the moment, it is included as part of the installation process in the swish-cplint package for the Arch GNU/Linux distribution (and derivatives).
The structure of this repository follows (more or less) some interesting guidelines written by Raivo Laanemets.
Taken from here
/*
Mixture of two Gaussians. A biased coin is thrown, if it lands heads X in
mix(X)
is sampled from a Gaussian with mean 0 and variance 1. if it lands tails X is
sampled from a Gaussian with mean 5 and variance 2.
The example illustrates the use of continuous random variables and
the use of sampling, including
rejection sampling and Metropolis/Hastings. Moreover the example
illustrates the use of the predicate histogram/2 for graphing the
probability density function of continuous random variables.
*/
:- use_module(library(mcintyre)).
:- use_module(library(cplint_r)).
:- mc.
:- begin_lpad.
heads:0.6;tails:0.4.
% a coin is thrown. The coin is biased: with probability 0.6 it lands heads,
% with probabiity 0.4 it lands tails
g(X): gaussian(X,0, 1).
% X in g(X) follows a Gaussian distribution with mean 0 and variance 1
h(X): gaussian(X,5, 2).
% X in h(X) follows a Gaussian distribution with mean 5 and variance 2
mix(X) :- heads, g(X).
% if the coin lands heads, X in mix(X) is given by g(X)
mix(X) :- tails, h(X).
% if the coin lands tails, X in mix(X) is given by h(X)
:- end_lpad.
hist_uncond(Samples,NBins):-
mc_sample_arg(mix(X),Samples,X,L0),
histogram_r(L0,NBins).
% take SAmples samples of X in mix(X) and draw a histogram with NBins bins
representing
% the probability density of X
The query
?- hist_uncond(10000,40).
Gives the following
?- pack_install('cplint_r').
https://friguzzi.github.io/cplint_r
In the package root, execute into swipl
:
?- [tests/tests].
?- run_tests.
or, if you cloned the repo:
$ make test
- Unable to view the plots within
swipl
. It should be possible to save a pdf file of the corresponding plot anyway.
Copyright (c) 2016-2017 Franco Masotti (franco.masotti@student.unife.it) 2018-2023 Fabrizio Riguzzi (fabrizio.riguzzi@unife.it) This is free software: you can redistribute it and/or modify it under the terms of the Artistic License 2.0 as published by The Perl Foundation.
This source is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Artistic License 2.0 for more details.
You should have received a copy of the Artistic License 2.0 along the source as a LICENSE file. If not, obtain it from http://www.perlfoundation.org/artistic_license_2_0.