#lang racket ;;; Science Collection ;;; statistics-example.rkt ;;; Copyright (c) 2004-2011 M. Douglas Williams ;;; ;;; This file is part of the Science Collection. ;;; ;;; The Science Collection is free software: you can redistribute it and/or ;;; modify it under the terms of the GNU Lesser General Public License as ;;; published by the Free Software Foundation, either version 3 of the License ;;; or (at your option) any later version. ;;; ;;; The Science Collection is distributed in the hope that it will be useful, ;;; but WITHOUT WARRANTY; without even the implied warranty of MERCHANTABILITY ;;; or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public ;;; License for more details. ;;; ;;; You should have received a copy of the GNU Lesser General Public License ;;; along with the Science Collection. If not, see ;;; <http://www.gnu.org/licenses/>. ;;; ;;; ----------------------------------------------------------------------------- ;;; (require (planet williams/science/random-distributions/gaussian) (planet williams/science/statistics) (planet williams/science/math)) (define (naive-sort! data) (let loop () (let ((n (vector-length data)) (sorted? #t)) (do ((i 1 (+ i 1))) ((= i n) data) (when (< (vector-ref data i) (vector-ref data (- i 1))) (let ((t (vector-ref data i))) (vector-set! data i (vector-ref data (- i 1))) (vector-set! data (- i 1) t) (set! sorted? #f)))) (unless sorted? (loop))))) (let ((data1 (make-vector 1000)) (data2 (make-vector 1000)) (w (make-vector 1000))) (for ((i (in-range 1000))) ;; Random data from unit gaussian (vector-set! data1 i (random-unit-gaussian)) (vector-set! data2 i (random-unit-gaussian)) ;; Cos^2 weighting (vector-set! w i (expt (cos (- (* 2.0 pi (/ i 1000.0)) pi)) 2))) (printf "Statistics Example~n") (printf " mean = ~a~n" (mean data1)) (printf " variance = ~a~n" (variance data1)) (printf " standard deviation = ~a~n" (standard-deviation data1)) (printf " variance from 0.0 = ~a~n" (variance-with-fixed-mean data1 0.0)) (printf " standard deviation from 0.0 = ~a~n" (standard-deviation-with-fixed-mean data1 0.0)) (printf " absolute deviation = ~a~n" (absolute-deviation data1)) (printf " absolute deviation from 0.0 = ~a~n" (absolute-deviation data1 0.0)) (printf " skew = ~a~n" (skew data1)) (printf " kurtosis = ~a~n" (kurtosis data1)) (printf " lag-1 autocorrelation = ~a~n" (lag-1-autocorrelation data1)) (printf " covariance = ~a~n" (covariance data1 data2)) (printf " correlation = ~a~n" (correlation data1 data2)) (printf " weighted mean = ~a~n" (weighted-mean w data1)) (printf " weighted variance = ~a~n" (weighted-variance w data1)) (printf " weighted standard deviation = ~a~n" (weighted-standard-deviation w data1)) (printf " weighted variance from 0.0 = ~a~n" (weighted-variance-with-fixed-mean w data1 0.0)) (printf "weighted standard deviation from 0.0 = ~a~n" (weighted-standard-deviation-with-fixed-mean w data1 0.0)) (printf " weighted absolute deviation = ~a~n" (weighted-absolute-deviation w data1)) (printf "weighted absolute deviation from 0.0 = ~a~n" (weighted-absolute-deviation w data1 0.0)) (printf " weighted skew = ~a~n" (weighted-skew w data1)) (printf " weighted kurtosis = ~a~n" (weighted-kurtosis w data1)) (printf " maximum = ~a~n" (maximum data1)) (printf " minimum = ~a~n" (minimum data1)) (printf " index of maximum value = ~a~n" (maximum-index data1)) (printf " index of minimum value = ~a~n" (minimum-index data1)) (naive-sort! data1) (printf " median = ~a~n" (median-from-sorted-data data1)) (printf " 10% quantile = ~a~n" (quantile-from-sorted-data data1 .1)) (printf " 20% quantile = ~a~n" (quantile-from-sorted-data data1 .2)) (printf " 30% quantile = ~a~n" (quantile-from-sorted-data data1 .3)) (printf " 40% quantile = ~a~n" (quantile-from-sorted-data data1 .4)) (printf " 50% quantile = ~a~n" (quantile-from-sorted-data data1 .5)) (printf " 60% quantile = ~a~n" (quantile-from-sorted-data data1 .6)) (printf " 70% quantile = ~a~n" (quantile-from-sorted-data data1 .7)) (printf " 80% quantile = ~a~n" (quantile-from-sorted-data data1 .8)) (printf " 90% quantile = ~a~n" (quantile-from-sorted-data data1 .9)) )