Displaying 7 results from an estimated 7 matches for "sasaki".
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masaki
2007 May 13
1
provider for Macros!
Hi,
Was just wondering if there is any provider for Macros like we have pid provider for function calls?
Thanks,
Neelam
--
This message posted from opensolaris.org
2007 May 14
2
how to do tracing in user process.
Hello,
I wanted to enable tracing in user process.
but following example from guide is not working.
pid$1::$2:entry
{
self->trace = 1;
}
pid$1::$2:return
/self->trace/
{
self->trace = 0;
}
pid$1:::entry,
pid$1:::return
/self->trace/
{
}
I am getting error like invalid probe description ..... undefined macro variable in probe description.
pid$target:user lib:user function:entry
2000 Feb 18
3
Connection hangs...
In problem-fixing, the "nicest" problems are those reproducible on demand.
Alas, this one is not nice.
System: Samba 2.0.6 on Solaris 2.7 (also see similar on Solaris 2.6).
Symptom (user perspective): PC suddenly, spontaneously freezes and
eventually the connection times out.
Symptom (log file):
[2000/02/15 09:27:30, 0] ../lib/util_sock.c:read_socket_data(474)
2010 Jul 07
1
Different goodness of fit tests leads to contradictory conclusions
I am trying to test goodness of fit for my legalistic regression using several options as shown below. Hosmer-Lemeshow test (whose function I borrowed from a previous post), Hosmer–le Cessie omnibus lack of fit test (also borrowed from a previous post), Pearson chi-square test, and deviance test. All the tests, except the deviance tests, produced p-values well above 0.05. Would anyone please
2010 Jul 15
0
Histogram with two groups on the same graph (not on separate panels)
...2.23 ...
$ bc : num NA NA NA NA NA ...
$ Rsvl : num NA NA NA NA NA ...
$ Rftr : num NA NA NA NA NA ...
$ Rdefense : num NA NA NA NA NA 97 97 97 97 212 ...
$ Rdvc : num NA NA NA NA NA ...
Thank you so much for your time and help!
Sincerely,
Kiyoshi Sasaki
[[alternative HTML version deleted]]
2010 Jul 09
1
Appropriate tests for logistic regression with a continuous predictor variable and Bernoulli response variable
I have a data with binary response variable, repcnd (pregnant or not) and one predictor continuous variable, svl (body size) as shown below. I did Hosmer-Lemeshow test as a goodness of fit (as suggested by a kind “R-helper” previously). To test whether the predictor (svl, or body size) has significant effect on predicting whether or not a female snake is pregnant, I used the differences between
2010 Jul 07
1
Why do <none>s appear in the list of predictor variables in logistic regression using 'step' or 'stepAIC' function?
Would anyone help me solve my problem with R, please? I am very new to R. I am doing logistic regression analysis on the presence/absence of salamanders using several predictor variables, as shown below. I have checked my data, but I didn't find any 'NA' or empty cells. When I used step() or stepAIC to select significant predictor variables, <none>s appear to places where