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<DIV>A better option for a confidence interval for LD50</DIV>
<DIV>might be Fiellers method. </DIV>
<DIV> </DIV>
<DIV>To see how to get the numbers from the object returned from dose.p,
use for example</DIV>
<DIV>str(object) or names(object).</DIV>
<DIV> </DIV>
<DIV>Kjetil Halvorsen</DIV>
<DIV> </DIV>
<DIV id=IncrediOriginalMessage><I>-------Original Message-------</I></DIV>
<DIV> </DIV>
<DIV id=receivestrings>
<DIV dir=ltr style="FONT-SIZE: 11pt" <i><B>From:</B></I> <A
href="mailto:Ngayee.Law@celeradiagnostics.com">Ngayee J Law</A></DIV>
<DIV dir=ltr style="FONT-SIZE: 11pt" <i><B>Date:</B></I> Tuesday, December
31, 2002 7:17:39 PM</DIV>
<DIV dir=ltr style="FONT-SIZE: 11pt" <i><B>To:</B></I> <A
href="mailto:apjaworski@mmm.com">apjaworski@mmm.com</A></DIV>
<DIV dir=ltr style="FONT-SIZE: 11pt" <i><B>Cc:</B></I> <A
href="mailto:r-help@stat.math.ethz.ch">r-help@stat.math.ethz.ch</A></DIV>
<DIV dir=ltr style="FONT-SIZE: 11pt" <i><B>Subject:</B></I> Re: [R] Probit
Analysis</DIV></DIV>
<DIV> </DIV>Hi Andy,<BR><BR>Thanks! glm and dose.p can do exaclty
what I want to do. Just a quick<BR>question,<BR>how can I extract the
numbers in the glm.dose object created by the dose.p?<BR>My<BR>goal is to
calculate a 95% CI for the 'LD50'.<BR><BR>-
Jacqueline<BR><BR><BR><BR><BR><BR>apjaworski@mm <BR>m.com To: "Ngayee J
Law" <<A
href="mailto:Ngayee.Law@celeradiagnostics.com">Ngayee.Law@celeradiagnostics.com</A>>
<BR>cc: <A
href="mailto:r-help@stat.math.ethz.ch">r-help@stat.math.ethz.ch</A>
<BR>12/31/2002 Subject: Re: [R] Probit Analysis <BR>02:47 PM
<BR><BR><BR><BR><BR><BR><BR><BR>Jacqueline,<BR><BR>This should be a simple
application of GLM. Check the help pages for glm,<BR>family and dose.p in
library MASS. Look at the example at the bottom of<BR>the dose.p help page
- it does almost exactly what you need.<BR><BR>Hope this
helps,<BR><BR>Andy<BR><BR>__________________________________<BR>Andy
Jaworski<BR>Engineering Systems Technology Center<BR>3M Center,
518-1-01<BR>St. Paul, MN 55144-1000<BR>-----<BR>E-mail: <A
href="mailto:apjaworski@mmm.com">apjaworski@mmm.com</A><BR>Tel: (651)
733-6092<BR>Fax: (651)
736-3122<BR><BR><BR>|---------+----------------------------------><BR>|
| "Ngayee J Law" |<BR>| | <<A
href="mailto:Ngayee.Law@celeradiagn">Ngayee.Law@celeradiagn</A>|<BR>| |
ostics.com> |<BR>| | Sent by: |<BR>| | <A
href="mailto:r-help-admin@stat.math">r-help-admin@stat.math</A>.|<BR>| |
ethz.ch |<BR>| | |<BR>| | |<BR>| | 12/31/2002 16:17 |<BR>| |
|<BR>|---------+----------------------------------><BR>><BR>-----------------------------------------------------------------------------------------------------------------------------|<BR><BR>|<BR>|<BR>|
To: <A
href="mailto:r-help@stat.math.ethz.ch">r-help@stat.math.ethz.ch</A><BR>|<BR>|
cc:<BR>|<BR>| Subject: [R] Probit
Analysis<BR>|<BR>><BR>-----------------------------------------------------------------------------------------------------------------------------|<BR><BR><BR><BR><BR>Hello
all,<BR><BR>I have a very simple set of data and I would like to analyze
them with<BR>probit analysis.<BR>The data are:<BR><BR>X Event Trial<BR>100
8 8<BR>75 8 8<BR>50 6 8<BR>25 4 8<BR>10 2 8<BR>0 0 8<BR><BR>I want to
estimate the value of X that will give a 95% hit rate<BR>(Event/Trial) and
the corresponding<BR>95% CI. Anyone can offer some help? Thanks!!<BR><BR>-
Jacqueline<BR><BR>______________________________________________<BR><A
href="mailto:R-help@stat.math.ethz.ch">R-help@stat.math.ethz.ch</A>
mailing list<BR><A
href="http://www.stat.math.ethz.ch/mailman/listinfo/r-help">http://www.stat.math.ethz.ch/mailman/listinfo/r-help</A><BR><BR>______________________________________________<BR><A
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mailing list<BR><A
href="http://www.stat.math.ethz.ch/mailman/listinfo/r-help">http://www.stat.math.ethz.ch/mailman/listinfo/r-help</A><BR>.</TD></TR>
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