ls-demo.lisp

   1
   2 (asdf:operate 'asdf:compile-op 'cffi)
   3
   4 (load "init.lisp")
   5 (asdf:operate 'asdf:compile-op 'lispstat :force t)
   6 (asdf:operate 'asdf:compile-op 'lispstat)
   7
   8 ;; (asdf:operate 'asdf:load-op 'cffi)
   9 ;; (asdf:operate 'asdf:load-op 'rclg)
  10
  11 (asdf:oos 'asdf:load-op :lispstat)
  12
  13 (setf *my-base-directory*
  14       #p"/home/tony/sandbox/CLS.git/"
  15       #p"/Users/ungil/lisp/CommonLispStat/"
  16       )
  17
  18
  19 ;;; To make it easier for Carlos...
  20 (load "/Users/ungil/lisp/CommonLispStat/init.lisp")
  21 (load "/Users/ungil/lisp/CommonLispStat/cffiglue.lsp")
  22
  23 (in-package :cl-user)
  24
  25 ;; Can we get from both the subpackage as well as the "basic
  26 ;; configuration"?
  27
  28 (lisp-stat-basics:binomial-quant 0.95 3 0.4) ;;; DOESN'T RETURN
  29 (lisp-stat-basics:binomial-quant 0 3 0.4) ;;; -2147483648
  30
  31 (lisp-stat:binomial-quant 0.95 3 0.4) ;;; DOESN'T RETURN
  32 (lisp-stat:binomial-quant 0 3 0.4) ;;; -2147483648
  33
  34
  35 (in-package :ls-user)
  36
  37 (binomial-quant 0.95 3 0.4) ;;; DOESN'T RETURN
  38 (binomial-quant 0 3 0.4) ;;; -2147483648
  39
  40 ;; Once the above seem to work, we are on our way!
  41
  42
  43
  44
  45
  46
  47
  48
  49 ;; optimization-related functions not tested
  50 ;;(lisp-stat-optimize:numgrad
  51 ;;(lisp-stat-optimize:numhess
  52 ;;(lisp-stat-optimize::minfo-maximize
  53
  54 ;; the rest return reasonable values, except BINOMIAL-QUANT:
  55 ;; (lisp-stat-basics:binomial-quant 0.95 3 0.4) ;;; DOESN'T RETURN
  56 ;; (lisp-stat-basics:binomial-quant 0 3 0.4) ;;; -2147483648
  57
  58 (lisp-stat-linalg:chol-decomp  #2A((2 3 4) (1 2 4) (2 4 5)))
  59 ;; (#2A((1.7888543819998317 0.0 0.0)
  60 ;;      (1.6770509831248424 0.11180339887498929 0.0)
  61 ;;      (2.23606797749979 2.23606797749979 3.332000937312528e-8))
  62 ;;  5.000000000000003)
  63
  64 (lisp-stat-linalg:lu-decomp  #2A((2 3 4) (1 2 4) (2 4 5)))
  65 ;; (#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)
  66
  67 (lisp-stat-linalg:lu-solve
  68  (lisp-stat-linalg:lu-decomp #2A((2 3 4) (1 2 4) (2 4 5)))
  69  #(2 3 4))
  70 ;; #(-2.333333333333333 1.3333333333333335 0.6666666666666666)
  71
  72 (lisp-stat-linalg:inverse #2A((2 3 4) (1 2 4) (2 4 5)))
  73 ;; #2A((2.0 -0.33333333333333326 -1.3333333333333335)
  74 ;;     (-1.0 -0.6666666666666666 1.3333333333333333)
  75 ;;     (0.0 0.6666666666666666 -0.3333333333333333))
  76
  77 (lisp-stat-linalg:sv-decomp  #2A((2 3 4) (1 2 4) (2 4 5)))
  78 ;; (#2A((-0.5536537653489974 0.34181191712789266 -0.7593629708013371)
  79 ;;      (-0.4653437312661058 -0.8832095891230851 -0.05827549615722014)
  80 ;;      (-0.6905959164998124 0.3211003503429828 0.6480523475178517))
  81 ;;  #(9.699290438141343 0.8971681569301373 0.3447525123483081)
  82 ;;  #2A((-0.30454218417339873 0.49334669582252344 -0.8147779426198863)
  83 ;;      (-0.5520024849987308 0.6057035911404464 0.5730762743603965)
  84 ;;      (-0.7762392122368734 -0.6242853493399995 -0.08786630745236332))
  85 ;;  T)
  86
  87 (lisp-stat-linalg:qr-decomp  #2A((2 3 4) (1 2 4) (2 4 5)))
  88 ;; (#2A((-0.6666666666666665 0.7453559924999298 5.551115123125783e-17)
  89 ;;      (-0.3333333333333333 -0.2981423969999719 -0.894427190999916)
  90 ;;      (-0.6666666666666666 -0.5962847939999439 0.44721359549995787))
  91 ;;  #2A((-3.0 -5.333333333333334 -7.333333333333332)
  92 ;;      (0.0 -0.7453559924999292 -1.1925695879998877)
  93 ;;      (0.0 0.0 -1.3416407864998738)))
  94
  95 (lisp-stat-linalg:rcondest #2A((2 3 4) (1 2 4) (2 4 5)))
  96 ;; 6.8157451e7
  97
  98 (lisp-stat-linalg:eigen #2A((2 3 4) (1 2 4) (2 4 5)))
  99 ;; (#(10.656854249492381 -0.6568542494923802 -0.9999999999999996)
 100 ;;  (#(0.4999999999999998 0.4999999999999997 0.7071067811865475)
 101 ;;   #(-0.49999999999999856 -0.5000000000000011 0.7071067811865474)
 102 ;;   #(0.7071067811865483 -0.7071067811865466 -1.2560739669470215e-15))
 103 ;;  NIL)
 104
 105 (lisp-stat-linalg:spline #(1.0 1.2 1.3 1.8 2.1 2.5)
 106  #(1.2 2.0 2.1 2.0 1.1 2.8) :xvals 6)
 107 ;; ((1.0 1.3 1.6 1.9 2.2 2.5)
 108 ;;  (1.2 2.1 2.2750696543866313 1.6465231041904045 1.2186576148879609 2.8))
 109
 110 ;;; using KERNEL-SMOOTH-FRONT, not KERNEL-SMOOTH-CPORT
 111 (lisp-stat-linalg:kernel-smooth #(1.0 1.2 1.3 1.8 2.1 2.5)
 112 #(1.2 2.0 2.1 2.0 1.1 2.8) :xvals 5)
 113 ;; ((1.0 1.375 1.75 2.125 2.5)
 114 ;;  (1.6603277642110226 1.9471748095239771 1.7938127405752287
 115 ;;   1.5871511322219498 2.518194783156392))
 116
 117 (lisp-stat-linalg:kernel-dens #(1.0 1.2 2.5 2.1 1.8 1.2) :xvals 5)
 118 ;; ((1.0 1.375 1.75 2.125 2.5)
 119 ;;  (0.7224150453621405 0.5820045548233707 0.38216411702854214
 120 ;;   0.4829822708587095 0.3485939156929503))
 121
 122 (lisp-stat-linalg:fft #(1.0 1.2 2.5 2.1 1.8))
 123 ;; #(#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))
 124
 125 (lisp-stat-descriptive-statistics:lowess
 126  #(1.0 1.2 2.5 2.1 1.8 1.2)  #(1.2 2.0 2.1 2.0 1.1 2.8))
 127 ;; (#(1.0 1.2 1.2 1.8 2.1 2.5))
 128
 129 ;;;; Log-gamma function
 130
 131 (lisp-stat-basics:log-gamma 3.4) ;;1.0923280596789584
 132
 133 ;;;; Normal distribution
 134
 135 (lisp-stat-basics:normal-quant 0.95) ;;1.6448536279366268
 136 (lisp-stat-basics:normal-cdf 1.3) ;;0.9031995154143897
 137 (lisp-stat-basics:normal-dens 1.3) ;;0.17136859204780736
 138 (lisp-stat-basics:normal-rand 2) ;;(-0.40502015f0 -0.8091404f0)
 139
 140 (lisp-stat-basics:bivnorm-cdf 0.2 0.4 0.6) ;;0.4736873734160288
 141
 142 ;;;; Cauchy distribution
 143
 144 (lisp-stat-basics:cauchy-quant 0.95) ;;6.313751514675031
 145 (lisp-stat-basics:cauchy-cdf 1.3) ;;0.7912855998398473
 146 (lisp-stat-basics:cauchy-dens 1.3) ;;0.1183308127104695
 147 (lisp-stat-basics:cauchy-rand 2) ;;(-1.06224644160405 -0.4524695943939537)
 148
 149 ;;;; Gamma distribution
 150
 151 (lisp-stat-basics:gamma-quant 0.95 4.3) ;;8.178692439291645
 152 (lisp-stat-basics:gamma-cdf 1.3 4.3) ;;0.028895150986674906
 153 (lisp-stat-basics:gamma-dens 1.3 4.3) ;;0.0731517686447374
 154 (lisp-stat-basics:gamma-rand 2 4.3) ;;(2.454918912880936 4.081365384357454)
 155
 156 ;;;; Chi-square distribution
 157
 158 (lisp-stat-basics:chisq-quant 0.95 3) ;;7.814727903379012
 159 (lisp-stat-basics:chisq-cdf 1 5) ;;0.03743422675631789
 160 (lisp-stat-basics:chisq-dens 1 5) ;;0.08065690818083521
 161 (lisp-stat-basics:chisq-rand 2 4) ;;(1.968535826180572 2.9988646156942997)
 162
 163 ;;;; Beta distribution
 164
 165 (lisp-stat-basics:beta-quant 0.95 3 2) ;;0.9023885371149876
 166 (lisp-stat-basics:beta-cdf 0.4 2 2.4) ;;0.4247997418541529
 167 (lisp-stat-basics:beta-dens 0.4 2 2.4) ;;1.5964741858913518
 168 (lisp-stat-basics:beta-rand 2 2 2.4) ;;(0.8014897077282279 0.6516371997922659)
 169
 170 ;;;; t distribution
 171
 172 (lisp-stat-basics:t-quant 0.95 3) ;;2.35336343484194
 173 (lisp-stat-basics:t-cdf 1 2.3) ;;0.794733624298342
 174 (lisp-stat-basics:t-dens 1 2.3) ;;0.1978163816318102
 175 (lisp-stat-basics:t-rand 2 2.3) ;;(-0.34303672776089306 -1.142505872436518)
 176
 177 ;;;; F distribution
 178
 179 (lisp-stat-basics:f-quant 0.95 3 5) ;;5.409451318117459
 180 (lisp-stat-basics:f-cdf 1 3.2 5.4) ;;0.5347130905510765
 181 (lisp-stat-basics:f-dens 1 3.2 5.4) ;;0.37551128864591415
 182 (lisp-stat-basics:f-rand 2 3 2) ;;(0.7939093442091963 0.07442694152491144)
 183
 184 ;;;; Poisson distribution
 185
 186 (lisp-stat-basics:poisson-quant 0.95 3.2) ;;6
 187 (lisp-stat-basics:poisson-cdf 1 3.2) ;;0.17120125672252395
 188 (lisp-stat-basics:poisson-pmf 1 3.2) ;;0.13043905274097067
 189 (lisp-stat-basics:poisson-rand 5 3.2) ;;(2 1 2 0 3)
 190
 191 ;;;; Binomial distribution
 192
 193 (lisp-stat-basics:binomial-quant 0.95 3 0.4) ;;; DOESN'T RETURN
 194 (lisp-stat-basics:binomial-quant 0 3 0.4) ;;; -2147483648
 195 (lisp-stat-basics:binomial-cdf 1 3 0.4) ;;0.6479999999965776
 196 (lisp-stat-basics:binomial-pmf 1 3 0.4) ;;0.4320000000226171
 197 (lisp-stat-basics:binomial-rand 5 3 0.4) ;;(2 2 0 1 2)