David Henderson caught this during todays demo, Thanks Dave!
11 ;;; Purpose: demonstrations of how one might use CLSv2.
40 :doc "This is an un-interesting dataframe-array"
198 ;; appropriate terms, and that CLS does not.
219 #| => ; so not so good for the vector, but matrix matches.
249 "invert A using LU Factorization"
258 "Compute `x1' solving `A x = b', with LU factorization."
283 ;; so is correct.
362 ;; looking at these a bit more, perhaps a more CLOSy style is needed, i.e.
364 ;; similar for the cdf, density, and rand.
366 ;; efficiently, i.e. by keeping some kind of list.
448 ;;; The following fail and I do not know why?
509 ;; LispStat 1 approach to data frames... (list of lists).
520 ) ;; eval at this point.
522 ;; Simple univariate variable-specific descriptions.
563 ;;; simple linear is working above!
571 (send m :basis) ;; this should be positive?
602 ;; and this below, as well.
629 ;; This is for illustrative purposes only. It is not a "good" use of rnbi.
668 ;; The following is not the smartest thing to do!
673 ;;; How might we do statistics with Common Lisp?
674 ;;; How might we work with a data.frame?
675 ;;; What could the structures be?
697 ;; the following could be true in many cases.
702 ;; but we could phrase better,i.e.
721 ;; do we really need the simplifying extensions?
741 ;;; so report could handle datasets... and models?
751 ;; could be things tht we estimate.
778 ;; with data, or by considering to need estimation.
818 ;; stopping, which is critical.
832 (length *z*) ; => need a means to make this 7.
848 ;; estimating a mean, simple way.
944 ;; The below FAILS due to coercion issues; it just isn't lispy, it's R'y.
949 ;; BUT below, this should be the right type.
981 ;; there a more efficient way?
1091 ;; *xtx-2* => "details of complete orthogonal factorization"
1174 ;; source for issues.
1181 ;; are known, to estimate \beta.
1185 ;; transformation-based work does precisely that.
1222 ;; no applicable conversion?
1251 :type :row ;; default, not usually needed!