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Author: pd

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@@ -1076,180 +1076,7 @@ Sat Apr 01 07:32:27 2000	ripley	moved from incoming to Add-ons
 
 Directory:  Analyses
 
-* PR# 934 *
-Subject: ks.test in ctest package
-From: Murray Smith <[email protected]>
-Date: Tue, 08 May 2001 16:52:07 +1200
---code and documentations suggestions
-~~~~~~~~~~ original reports follow ~~~~~~~~~~
-==> 934 <==
-From [email protected]  Tue May  8 06:49:45 2001
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-Date: Tue, 08 May 2001 16:52:07 +1200
-From: Murray Smith <[email protected]>
-Organization: University of Auckland
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-Subject: ks.test in ctest package
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-
-
-1.    There is, I believe, some redundant code in the calculation of the
-test statistic in ks.test in the package ctest.
-
- Lines 34-37 of the code read
-
-          x <- y(sort(x), ...) - (0:(n - 1))/n
-        STATISTIC <- switch(alternative, two.sided = max(abs(c(x,
-           x - 1/n))), greater = max(c(x, x - 1/n)), less = -min(c(x,
-            x - 1/n)))
-
-
-Lines 35-37 could read
-
-        STATISTIC <- switch(alternative, two.sided = max(c(x,1/n - x)),
-                        greater = max(x), less = max(1/n - x))
-
-Because
-
-    x > x - 1/n and  1/n - x  > -x,
-
-and thus
-
-max(abs(c(x, x - 1/n))) = max(c(x,1/n - x)),
-
-max(c(x, x - 1/n)) = max(x)
-
-and
-
--min(c(x, x - 1/n)) = max (1/n - x)
-
-2.    The manual entry should also make it clear that the one-sided
-tests are not about theactual cdf in relation to the null hypothsis cdf
-Fo, but about the quantiles of the actual distribution in relation to
-the quantiles of the null hypothesis cdf.
-
-For example the "greater" test has the STATISTIC, from line 34,
-
-       y(sort(x)) - (0:(n-1))/n
-
-If this is large positive it would contain evidence that the actual cdf
-F is less than the null hypothesis Fo. This is the traditional form of
-the "less" alternative hypothesis.
-
-    Ha:  F < Fo
-
-is equivalent to the quantiles of the actual distribution being greater
-than quantiles of the null hypothesised cdf Fo, consequently the manual
-entry should make clear that the one sided alternatives "greater" or
-"less" refers to the quantiles and not the cdf's.
-
-3.    Another feature that it would be very useful to add to ks.test
-would be the automatic return of  a confidence interval for the actual
-cdf F.  Adding a conf.level argument and taking the form of the interval
-from the value of the alternative argument would be a relatively simple
-task, although it would require .  This would bring the value of the
-function into line with the t.test function.
-
-
---
-+++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-Murray H. Smith,      Senior Lecturer in Engineering Statistics
-Engineering Science Department
-The University of Auckland
-Private Bag 92019
-Auckland
-New Zealand
-Phone: +64 9 373 7599 x4517, Fax: +64 9 373 7468
-email: [email protected]
-+++++++++++++++++++++++++++++++++++++++++++++++++++++++++
-
-
-
-==> 934.audit <==
-Thu May 10 14:14:33 2001	ripley	changed notes
-Thu May 10 14:14:33 2001	ripley	foobar
-Thu May 10 14:14:33 2001	ripley	moved from incoming to Analyses
-
-==> 934.reply.1 <==
-From [email protected]  Sun May 13 18:46:16 2001
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-Date: Sun, 13 May 2001 18:39:26 +0200
-To: [email protected]
-Cc: [email protected], [email protected]
-Subject: Re: [Rd] ks.test in ctest package (PR#934)
-In-Reply-To: <[email protected]>
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-
->>>>> mh smith writes:
-
-> 1.  There is, I believe, some redundant code in the calculation of the
-> test statistic in ks.test in the package ctest.
-
-Thanks, fixed.
-
-> 2.    The manual entry should also make it clear that the one-sided
-> tests are not about theactual cdf in relation to the null hypothsis cdf
-> Fo, but about the quantiles of the actual distribution in relation to
-> the quantiles of the null hypothesis cdf.
-
-> ...
-
-THanks for catching this bug.  This should really give the usual
-behavior that e.g. `alternative = "less"' means H_0: F >= F_0 for all
-points vs H_a: F(t) < F_0(t) for some t.  Fixed now.
-
-> 3.    Another feature that it would be very useful to add to ks.test
-> would be the automatic return of  a confidence interval for the actual
-> cdf F.  Adding a conf.level argument and taking the form of the interval
-> from the value of the alternative argument would be a relatively simple
-> task, although it would require .  This would bring the value of the
-> function into line with the t.test function.
-
-I am not sure whether we want to do this in the simple htest framework.
-Attempting to print a confidence interval given by two functions rather
-than two values will be confusing.  I'd much rather have users do
-
-	confint(ecdf(x), conf.level = 0.95)
-
-where a generic confint as in MASS with a method for objects of class
-"ecdf" as in stepfun.
-
-[The ``classical'' tests conceptually are really about a single
-parameter only.  Should this be changed?  One could argue that if a
-hypothesis about the underlying distribution function is tested ...]
-
--k
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+none
 
 Directory:  Documentation