examples/loading-data.lisp

   1 ;;; -*- mode: lisp -*-
   2
   3 ;;; Time-stamp: <2010-02-09 16:18:07 tony>
   4 ;;; Creation:   <2009-03-12 17:14:56 tony>
   5 ;;; File:       template.lisp
   6 ;;; Author:     AJ Rossini <blindglobe@gmail.com>
   7 ;;; Copyright:  (c)2009--, AJ Rossini.  BSD, LLGPL, or GPLv2, depending
   8 ;;;             on how it arrives.
   9 ;;; Purpose:    Template header file
  10
  11 ;;; What is this talk of 'release'? Klingons do not make software
  12 ;;; 'releases'.  Our software 'escapes', leaving a bloody trail of
  13 ;;; designers and quality assurance people in its wake.
  14
  15
  16 (in-package :cl-user)
  17 (cl:defpackage :cls-examples
  18   (:use :common-lisp
  19         :cls-user)
  20   (:export localized-pathto
  21            *chkwgts-df*))
  22
  23 ;; start within the common-lisp-stat-user
  24 (in-package :cls-examples)
  25
  26 ;; we'll be loading from directories in the CLS homedir, so we want to
  27 ;; make it easier to reach.
  28 (defun localized-pathto (x)
  29   "return a string denoting the complete path.
  30 FIXME: UNIX-centric (though might work on Mac OSX).  Might want to
  31 return a pathspec, not a string/namespec"
  32   (check-type x string)
  33   (concatenate 'string *cls-home-dir* x))
  34
  35
  36
  37 (progn
  38   ;; LISP-STAT COMPATIBILITY MODE:
  39   ;;
  40   ;; FIXME: Need to clean up data examples, licenses, attributions, etc.
  41   ;; The following breaks because we should use a package to hold
  42   ;; configuration details, and this would be the only package outside
  43   ;; of packages.lisp, as it holds the overall defsystem structure.
  44   (load-data "iris.lsp")  ;; (the above partially fixed).
  45   diabetes
  46   (variables))
  47
  48
  49
  50
  51 (progn
  52   ;; COMMON LISP STATISTICS
  53   ;;
  54   ;; Importing data from DSV text files.
  55
  56 #|
  57
  58   We use as an example a simple R datasert, chickwts, which has one
  59   nominal categorical variable and one continuous categorical
  60   variable.   This dataset can be accessed in R as follows:
  61
  62 > data(chickwts)
  63 > dim(chickwts)
  64 [1] 71  2
  65 > summary(chickwts)
  66      weight             feed
  67  Min.   :108.0   casein   :12
  68  1st Qu.:204.5   horsebean:10
  69  Median :258.0   linseed  :12
  70  Mean   :261.3   meatmeal :11
  71  3rd Qu.:323.5   soybean  :14
  72  Max.   :423.0   sunflower:12
  73 >
  74 |#
  75
  76   (defparameter *chickwts-df* (filename.dsv->dataframe (localized-pathto "Data/R-chickwts.csv")))
  77   ;; *chickwts-df*
  78   (xref *chickwts-df* 1 1) ; => 160
  79   (xref *chickwts-df* 40 2) ; => "sunflower"
  80   )
  81