[Rd] Optimize: difference between R for Linux and Windows (PR#896)

Marketa.Kylouskova@euromise.cz Marketa.Kylouskova@euromise.cz
Thu, 5 Apr 2001 12:31:12 +0200 (MET DST)


--Message-Boundary-4491
Content-type: text/enriched; charset=US-ASCII
Content-transfer-encoding: 7BIT
Content-description: Mail message body

<flushboth><color><param>0100,0100,0100</param><FontFamily><param>Times New Roman</param>Dear developers,</flushboth>

<flushboth>	I have a problem with some discrepancy in the performance of the 
function <FontFamily><param>Courier New</param><smaller>optimize<FontFamily><param>Times New Roman</param><bigger> between R 1.2.1 for Windows and R 1.2.2 (and less) 
for Linux. While trying to correct the wilcox.test (see my previous bug 
report) I encountered the following problem: I wanted to check the 
behaviour of the function <FontFamily><param>Courier New</param><smaller>wdiff<FontFamily><param>Times New Roman</param><bigger> used in the search for CI limits.</flushboth>


<paraindent><param>out</param><FontFamily><param>Courier New</param><smaller>x<<-rnorm(10,3,1)	</paraindent>

<paraindent><param>out</param>y<<-rnorm(10,0,1)	<bigger></paraindent>


<paraindent><param>out</param><FontFamily><param>Times New Roman</param><bigger>say </paraindent>


<flushboth><FontFamily><param>Courier New</param><smaller>x<<-
c(3.770684,4.654342,3.496403,1.772743,1.624953,2.645835,
3.099477,1.706758,3.507709,1.982924)</flushboth>

<flushboth>y<<-c(-0.8161288,0.1632923,0.6421997,1.9270846,-
0.4668112,0.3587806,0.3312529,-0.5393900,</flushboth>

<flushboth>0.1057892,1.7963575)</flushboth>


<paraindent><param>out</param>mu<<-0</paraindent>

<paraindent><param>out</param>n.x<<-length(x)</paraindent>

<paraindent><param>out</param>n.y<<-length(y)</paraindent>


<paraindent><param>out</param>wdiff <<- function(d, zq) {</paraindent>

<paraindent><param>out</param>   	dr <<- rank(c(x- mu -d,y))</paraindent>

<paraindent><param>out</param>   	NTIES.CI <<- table(dr)</paraindent>

<paraindent><param>out</param>   	dz <<- (sum(dr[seq(along = x)]) - n.x * (n.x + 1)/2 -
 n.x * n.y/2)</paraindent>

<paraindent><param>out</param>	CORRECTION.CI<<-0</paraindent>

<paraindent><param>out</param>   SIGMA.CI <<- sqrt((n.x * n.y/12) * ((n.x + n.y + 1) - 
sum(NTIES.CI^3 - NTIES.CI)/((n.x + n.y) * (n.x + 
n.y - 1))))</paraindent>

<paraindent><param>out</param>   dz <<- (dz - CORRECTION.CI)/SIGMA.CI</paraindent>

<paraindent><param>out</param>   abs(dz - zq)</paraindent>

<paraindent><param>out</param>}</paraindent>


<flushboth><FontFamily><param>Times New Roman</param><bigger>To examine the behivour I plotted the course of the <FontFamily><param>Courier New</param><smaller>wdiff<FontFamily><param>Times New Roman</param><bigger> for a lot of d 
and three zq (0.05, 0.5, 0.95) and I let optimize to compute the minimums. 
Then I plotted it. </flushboth>


<paraindent><param>out</param><FontFamily><param>Courier New</param><smaller>mumin<<-min(x)-max(y)</paraindent>

<paraindent><param>out</param>mumax<<-max(x)-min(y) </paraindent>


<paraindent><param>out</param>lll<<-seq(mumin,mumax,by=0.01)</paraindent>

<paraindent><param>out</param>wdl<<-apply(cbind(lll),1,wdiff,zq=qnorm(0.05))</paraindent>

<paraindent><param>out</param>wdm<<-apply(cbind(lll),1,wdiff,zq=qnorm(0.50))</paraindent>

<paraindent><param>out</param>wdu<<-apply(cbind(lll),1,wdiff,zq=qnorm(0.95))</paraindent>


<paraindent><param>out</param>plot(lll,wdl,type="l")</paraindent>

<paraindent><param>out</param>lines(lll,wdm,lty=4)</paraindent>

<paraindent><param>out</param>lines(lll,wdu,lty=7)</paraindent>



<paraindent><param>out</param>ol<<-
optimize(wdiff,c(mumin,mumax),zq=qnorm(0.05))$minimu
m</paraindent>

<paraindent><param>out</param>om<<-optimize(wdiff,c(mumin,mumax),zq=qnorm(0.5))$minimum</paraindent>

<paraindent><param>out</param>ou<<-
optimize(wdiff,c(mumin,mumax),zq=qnorm(0.95))$minimu
m</paraindent>


<paraindent><param>out</param>abline(v=ol)</paraindent>

<paraindent><param>out</param>abline(v=om,lty=4)</paraindent>

<paraindent><param>out</param>abline(v=ou,lty=7)</paraindent>



<flushboth><FontFamily><param>Times New Roman</param><bigger>When it ran on my home Linux (R 1.2.2 (2001-02-26) Compiled from 
source tarball on Linux with gcc version 2.95.2 19991024) it computed the 
minimum for zq = 0.05 only, for the others it found something totally 
wrong (see attached figure shouldntbe.gif). Then I checked it at work on 
S+2000 and R 1.2.1 for Windows and it gave the correct results and 
picture (see attached figure shouldbe.gif). Could you, please, advise me 
whether the problem stands in the platform version or in my compiled 
version, and what should I do to make it work properly?</flushboth>


<flushboth>Thank you very much for your help.</flushboth>


<flushboth>	Marketa Kylouskova</flushboth>

<flushboth>	{ HYPERLINK "mailto:marketa@ucw.cz" }marketa@ucw.cz</flushboth>

<flushboth>	kylouskova@euromise.cz</flushboth>



<nofill>

--Message-Boundary-4491
Content-type: text/plain; charset=US-ASCII
Content-disposition: inline
Content-description: Attachment information.

The following section of this message contains a file attachment
prepared for transmission using the Internet MIME message format.
If you are using Pegasus Mail, or any another MIME-compliant system,
you should be able to save it or view it from within your mailer.
If you cannot, please ask your system administrator for assistance.

   ---- File information -----------
     File:  shouldbe.gif
     Date:  5 Apr 2001, 11:35
     Size:  6826 bytes.
     Type:  GIF-image

--Message-Boundary-4491
Content-type: Image/GIF; name="shouldbe.gif"
Content-disposition: attachment; filename="shouldbe.gif"
Content-transfer-encoding: BASE64
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--Message-Boundary-4491
Content-type: text/plain; charset=US-ASCII
Content-disposition: inline
Content-description: Attachment information.

The following section of this message contains a file attachment
prepared for transmission using the Internet MIME message format.
If you are using Pegasus Mail, or any another MIME-compliant system,
you should be able to save it or view it from within your mailer.
If you cannot, please ask your system administrator for assistance.

   ---- File information -----------
     File:  shouldntbe.gif
     Date:  5 Apr 2001, 11:35
     Size:  42371 bytes.
     Type:  GIF-image

--Message-Boundary-4491
Content-type: Image/GIF; name="shouldntbe.gif"
Content-disposition: attachment; filename="shouldntbe.gif"
Content-transfer-encoding: BASE64
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--Message-Boundary-4491--

-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !)  To: r-devel-request@stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._