A few more silly examples for lin alg handling.
[CommonLispStat.git] / ls-demo.lisp
blob5693fd4123d2965abbc8f5dacaa4b8806791816a
1 ;;; -*- mode: lisp -*-
2 ;;; Copyright (c) 2007, by A.J. Rossini <blindglobe@gmail.com>
3 ;;; See COPYRIGHT file for any additional restrictions (BSD license).
4 ;;; Since 1991, ANSI was finally finished. Edited for ANSI Common Lisp.
6 ;;; File: ls-demo.lisp
7 ;;; Author: AJ Rossini <blindglobe@gmail.com>
8 ;;; Copyright: (c) 2007, AJ Rossini. BSD.
9 ;;; Purpose: demonstrations of how one might use CLS.
10 ;;; Time-stamp: <>
11 ;;; Creation:
13 ;;; What is this talk of 'release'? Klingons do not make software
14 ;;; 'releases'. Our software 'escapes', leaving a bloody trail of
15 ;;; designers and quality assurance people in its wake.
17 (load "init.lisp") ;; init needs to be more like the asdf-loader for lisp-stat, though it is pretty close.
19 ;;; checking exports.
20 ;;; This is generally not how I expect it to be used.
22 (in-package :cl-user)
23 (lisp-stat:binomial-quant 0.95 3 0.4) ;;; 3
24 (lisp-stat:binomial-quant 0 3 0.4) ;;; 0
25 (lisp-stat:normal-rand 20) ;;; DOESN'T RETURN
28 ;;; This is how I expect it to be used, either with work in ls-user,
29 ;;; or a cloned package similar to ls-user.
31 (in-package :ls-user)
33 ;; Probability
35 (binomial-quant 0.95 3 0.4) ; 3
36 (binomial-quant 0 3 0.4) ; 0
37 (normal-rand 20)
39 ;; Matrix algebra.
41 (chol-decomp #2A((2 3 4) (1 2 4) (2 4 5)))
42 ;; (#2A((1.7888543819998317 0.0 0.0)
43 ;; (1.6770509831248424 0.11180339887498929 0.0)
44 ;; (2.23606797749979 2.23606797749979 3.332000937312528e-8))
45 ;; 5.000000000000003)
47 (defvar my-chol-decomp-test (chol-decomp #2A((2 3 4) (1 2 4) (2 4 5))))
48 my-chol-decomp-test
49 (nth 0 my-chol-decomp-test)
50 (nth 1 my-chol-decomp-test)
55 (lu-decomp #2A((2 3 4) (1 2 4) (2 4 5)))
56 ;; (#2A((2.0 3.0 4.0) (1.0 1.0 1.0) (0.5 0.5 1.5)) #(0 2 2) -1.0 NIL)
58 (lu-solve
59 (lu-decomp #2A((2 3 4) (1 2 4) (2 4 5)))
60 #(2 3 4))
61 ;; #(-2.333333333333333 1.3333333333333335 0.6666666666666666)
63 (inverse #2A((2 3 4) (1 2 4) (2 4 5)))
64 ;; #2A((2.0 -0.33333333333333326 -1.3333333333333335)
65 ;; (-1.0 -0.6666666666666666 1.3333333333333333)
66 ;; (0.0 0.6666666666666666 -0.3333333333333333))
68 (sv-decomp #2A((2 3 4) (1 2 4) (2 4 5)))
69 ;; (#2A((-0.5536537653489974 0.34181191712789266 -0.7593629708013371)
70 ;; (-0.4653437312661058 -0.8832095891230851 -0.05827549615722014)
71 ;; (-0.6905959164998124 0.3211003503429828 0.6480523475178517))
72 ;; #(9.699290438141343 0.8971681569301373 0.3447525123483081)
73 ;; #2A((-0.30454218417339873 0.49334669582252344 -0.8147779426198863)
74 ;; (-0.5520024849987308 0.6057035911404464 0.5730762743603965)
75 ;; (-0.7762392122368734 -0.6242853493399995 -0.08786630745236332))
76 ;; T)
78 (qr-decomp #2A((2 3 4) (1 2 4) (2 4 5)))
79 ;; (#2A((-0.6666666666666665 0.7453559924999298 5.551115123125783e-17)
80 ;; (-0.3333333333333333 -0.2981423969999719 -0.894427190999916)
81 ;; (-0.6666666666666666 -0.5962847939999439 0.44721359549995787))
82 ;; #2A((-3.0 -5.333333333333334 -7.333333333333332)
83 ;; (0.0 -0.7453559924999292 -1.1925695879998877)
84 ;; (0.0 0.0 -1.3416407864998738)))
86 (rcondest #2A((2 3 4) (1 2 4) (2 4 5)))
87 ;; 6.8157451e7
89 (eigen #2A((2 3 4) (1 2 4) (2 4 5)))
90 ;; (#(10.656854249492381 -0.6568542494923802 -0.9999999999999996)
91 ;; (#(0.4999999999999998 0.4999999999999997 0.7071067811865475)
92 ;; #(-0.49999999999999856 -0.5000000000000011 0.7071067811865474)
93 ;; #(0.7071067811865483 -0.7071067811865466 -1.2560739669470215e-15))
94 ;; NIL)
96 (spline #(1.0 1.2 1.3 1.8 2.1 2.5)
97 #(1.2 2.0 2.1 2.0 1.1 2.8) :xvals 6)
98 ;; ((1.0 1.3 1.6 1.9 2.2 2.5)
99 ;; (1.2 2.1 2.2750696543866313 1.6465231041904045 1.2186576148879609 2.8))
101 ;;; using KERNEL-SMOOTH-FRONT, not KERNEL-SMOOTH-CPORT
102 (kernel-smooth #(1.0 1.2 1.3 1.8 2.1 2.5)
103 #(1.2 2.0 2.1 2.0 1.1 2.8) :xvals 5)
104 ;; ((1.0 1.375 1.75 2.125 2.5)
105 ;; (1.6603277642110226 1.9471748095239771 1.7938127405752287
106 ;; 1.5871511322219498 2.518194783156392))
108 (kernel-dens #(1.0 1.2 2.5 2.1 1.8 1.2) :xvals 5)
109 ;; ((1.0 1.375 1.75 2.125 2.5)
110 ;; (0.7224150453621405 0.5820045548233707 0.38216411702854214
111 ;; 0.4829822708587095 0.3485939156929503))
113 (fft #(1.0 1.2 2.5 2.1 1.8))
114 ;; #(#C(1.0 0.0) #C(1.2 0.0) #C(2.5 0.0) #C(2.1 0.0) #C(1.8 0.0))
116 (lowess #(1.0 1.2 2.5 2.1 1.8 1.2) #(1.2 2.0 2.1 2.0 1.1 2.8))
117 ;; (#(1.0 1.2 1.2 1.8 2.1 2.5))
121 ;;; Log-gamma function
123 (log-gamma 3.4) ;;1.0923280596789584
125 ;;; Probability functions
127 ;;; looking at these a bit more, perhaps a more CLOSy style is needed, i.e.
128 ;;; (quantile :list-or-cons loc :type type (one of 'empirical 'normal 'cauchy, etc...))
129 ;;; similar for the cdf, density, and rand.
130 ;;; Probably worth figuring out how to add a new distribution
131 ;;; efficiently, i.e. by keeping some kind of list.
133 ;;; Normal distribution
135 (normal-quant 0.95) ;;1.6448536279366268
136 (normal-cdf 1.3) ;;0.9031995154143897
137 (normal-dens 1.3) ;;0.17136859204780736
138 (normal-rand 2) ;;(-0.40502015f0 -0.8091404f0)
140 (bivnorm-cdf 0.2 0.4 0.6) ;;0.4736873734160288
142 ;;; Cauchy distribution
144 (cauchy-quant 0.95) ;;6.313751514675031
145 (cauchy-cdf 1.3) ;;0.7912855998398473
146 (cauchy-dens 1.3) ;;0.1183308127104695
147 (cauchy-rand 2) ;;(-1.06224644160405 -0.4524695943939537)
149 ;;; Gamma distribution
151 (gamma-quant 0.95 4.3) ;;8.178692439291645
152 (gamma-cdf 1.3 4.3) ;;0.028895150986674906
153 (gamma-dens 1.3 4.3) ;;0.0731517686447374
154 (gamma-rand 2 4.3) ;;(2.454918912880936 4.081365384357454)
156 ;;; Chi-square distribution
158 (chisq-quant 0.95 3) ;;7.814727903379012
159 (chisq-cdf 1 5) ;;0.03743422675631789
160 (chisq-dens 1 5) ;;0.08065690818083521
161 (chisq-rand 2 4) ;;(1.968535826180572 2.9988646156942997)
163 ;;; Beta distribution
165 (beta-quant 0.95 3 2) ;;0.9023885371149876
166 (beta-cdf 0.4 2 2.4) ;;0.4247997418541529
167 (beta-dens 0.4 2 2.4) ;;1.5964741858913518
168 (beta-rand 2 2 2.4) ;;(0.8014897077282279 0.6516371997922659)
170 ;;; t distribution
172 (t-quant 0.95 3) ;;2.35336343484194
173 (t-cdf 1 2.3) ;;0.794733624298342
174 (t-dens 1 2.3) ;;0.1978163816318102
175 (t-rand 2 2.3) ;;(-0.34303672776089306 -1.142505872436518)
177 ;;; F distribution
179 (f-quant 0.95 3 5) ;;5.409451318117459
180 (f-cdf 1 3.2 5.4) ;;0.5347130905510765
181 (f-dens 1 3.2 5.4) ;;0.37551128864591415
182 (f-rand 2 3 2) ;;(0.7939093442091963 0.07442694152491144)
184 ;;; Poisson distribution
186 (poisson-quant 0.95 3.2) ;;6
187 (poisson-cdf 1 3.2) ;;0.17120125672252395
188 (poisson-pmf 1 3.2) ;;0.13043905274097067
189 (poisson-rand 5 3.2) ;;(2 1 2 0 3)
191 ;;; Binomial distribution
193 (binomial-quant 0.95 3 0.4) ;;; DOESN'T RETURN
194 (binomial-quant 0 3 0.4) ;;; -2147483648
195 (binomial-cdf 1 3 0.4) ;;0.6479999999965776
196 (binomial-pmf 1 3 0.4) ;;0.4320000000226171
197 (binomial-rand 5 3 0.4) ;;(2 2 0 1 2)
200 ;;; OBJECT SYSTEM
202 (in-package :ls-user)
203 (defproto *test-proto*)
204 *test-proto*
205 (defmeth *test-proto* :make-data (&rest args) nil)
206 (send *test-proto* :make-data)
209 ;;; Testing
211 (in-package :lisp-stat-unittests)
212 (testsuites)
213 (print-tests)
214 (run-tests)
215 (last-test-status)
216 ;;(failures)
218 (testsuite-tests 'lisp-stat)
219 (run-tests :suite 'lisp-stat)
220 (describe (run-tests :suite 'lisp-stat))
223 (run-tests :suite 'lisp-stat-probdistn)
224 (describe (run-tests :suite 'lisp-stat-probdistn))
228 (run-tests :suite 'lisp-stat-spec-fns)
229 (describe (run-tests :suite 'lisp-stat-spec-fns))
232 (find-testsuite 'lisp-stat-lin-alg)
233 (testsuite-tests 'lisp-stat-lin-alg)
234 (run-tests :suite 'lisp-stat-lin-alg)
235 (describe (run-tests :suite 'lisp-stat-lin-alg))