similar to: Confidence intervals for logistic regression

Hello all, I have a question concerning integration of a function of a multivariate argument with respect to one or more variables in r. Let us say we have a function F <- function(x){ body of the function} Where x is, in general, a d by 1 vector with d>1. Now I want to integrate out some of the coordinates of x, e.g. x[1] or x[2] or both of them etc. I'm well aware of how to

? Tue, 11 Jun 2024 18:44:08 +0000 "Levine, Michael" <mlevins at purdue.edu> ?????: > Let us say we have a function > > F <- function(x){ body of the function} > > Where x is, in general, a d by 1 vector with d>1. Now I want to > integrate out some of the coordinates of x, e.g. x[1] or x[2] or both > of them etc. I'm well aware of how to integrate

Please forgive a rather na??ve question... Could someone please give a quick explanation for the differences in conf intervals achieved via confint.glm (based on profile liklihoods) and the intervals achieved using the Design library. For example, the intervals in the following two outputs are different. library(Design) x = rnorm(100) y = gl(2,50) d = data.frame(x = x, y = y) dd = datadist(d);

I'm applying logistic regression to a moderate sized data set for which I believe Wald based confidence intervals on B coefficients are too conservative. Some of the literature recommends using confidence intervals based on the likelihood ratio in such cases, but I'm having difficulty locating a package that can do these. Any help would be immensely appreciated. Best, Jeff Hanna --

We are running dovecot-1.2.10 on a Solaris 10 x86 host. Starting on July 24 I started seeing the following type lock files I the /var/mail directory. -rw-rw-rw- 1 agab mail 0 Jul 24 10:08 agabriel.lock.1343138908.28535.hardy.purdue.edu -rw-rw-rw- 1 agab mail 0 Jul 24 10:08 agabriel.lock.1343138907.28535.hardy.purdue.edu -rw-rw-rw- 1 agab mail

? Wed, 12 Jun 2024 23:42:18 +0000 "Levine, Michael" <mlevins at purdue.edu> ?????: > f.int1 <- function(x,y) {Vectorize (function(y) f(c(x,y),H=H,j=j))} Vectorize returns a callable function(y), so wrapping it in a function(x,y) will not work. Since you'd like to integrate over y, we can perform the same transformation manually using vapply: # A version of f(...) that

I'm still relatively new to R, so my apologies if this is covered somewhere. I've been running some mixed-effect models in R using lme{nlme}, but read in Faraway's recent book, Extending the Linear Model with R, that lmer in package lme4 is a much improved version. I tried using this approach, but the output for the fixed effects doesn't report a p-value or the degrees of freedom

Does anyone know if there is a way to run multivariate linear regression in R? I tried using the lm function (e.g., lm(dv1, dv2~iv1+iv2+iv3), but got error messages. Is my syntax wrong, or do I need a particular package? Thanks, Jeff-- ________________________________________________________ Jeffrey J. Lusk, Ph.D. Postdoctoral Research Associate Department of Forestry &

/export/rpoolbackup# dovecot -n # 1.2.10: /local/etc/dovecot.conf Warning: fd limit 256 is lower than what Dovecot can use under full load (more than 768). Either grow the limit or change login_max_processes_count and max_mail_processes settings # OS: SunOS 5.10 i86pc protocols: imaps pop3s ssl_cert_file: /local/ssl/certs/dovecot-cert.pem ssl_key_file: /local/ssl/private/dovecot-key.pem

I am attempting an install of R-1.7.1 on a Sun Solaris 9 box. It is a V880. It has 8 processors at 950MHz each and 32 Gb of physical memory. I can './configure' and after, I get the following: ---------------------------------------------------------------------------- ------------ R is now configured for sparc-sun-solaris2.9 Source directory: . Installation

Hello, I had been using R for text mining already. I wanted to use R for large scale text processing and for experiments with topic modeling. I started reading tutorials and working on some of those. I will now put down my understanding of each of the tools: 1) R text mining toolbox: Meant for local (client side) text processing and it uses the XML library 2) Hive: Hadoop interative, provides the

I recently upgraded from RedHat 6.2 to 7.3. I had samba running fine so I could mount space on our windows network. Somehow this got broken in the upgrade. My linux box is called k466a and my username there is mcliff. On the windows network I am cliffm. If I do ~$ smbclient -L MCBRAGG -U cliffm added interface ip=128.210.132.45 bcast=128.210.132.255 nmask=255.255.255.0 Password:

It was pointed out that this information is in the --itemize-changes parameter in the man page. I looked at the man page but missed this part. I guess it was the forest for the trees. Thanks and it is resolved. Robert USING: rsync version 3.0.6 protocol version 30 on a Sun Solaris 10 x86. This is a precompiled version from opencsw. /opt/csw/bin/rsync -n -axzH -v --delete-after

USING: rsync version 3.0.6 protocol version 30 on a Sun Solaris 10 x86. This is a precompiled version from opencsw. /opt/csw/bin/rsync -n -axzH -v --delete-after --log-file=$RSYNCOUTPUT/export_-${DAILYDT}X --rsync-path=/opt/csw/bin/rsync -e "ssh -i /root/.ssh/id_hertz" --max-delete=100 /export/.zfs/snapshot/$DAILYDT/ hertz3:/zvol/backup/gauss/export When I added the

Dear R-help colleagues, Greetings! I'm interested in using some of the data sets from S-PLUS in a class that I'm teaching on R. Our university has a license for S-PLUS, and I recognize that data sets from S-PLUS can be individually exported from S-PLUS and then imported into R. Is there a more straightforward way to do this? For instance, are the data sets from S-PLUS freely

I attempted to contact Drew Tyre, but the email I have for him is no longer in service. Hopefully someone can help. I'm using obs.error in R to model turtle occupancy in wetlands. I have 4 species and 20 possible patch and landscape variables, which I've been testing in smaller groups. > zib.out<-obs.error(y=painted,m=numvis,bp=zvars,pcovar=7) I get the following error

System: R 2.3.1 on Windows XP machine. I am building a logistic regression model for a sample of 100 cases in dataframe "d", in which there are 3 binary covariates: x1, x2 and x3. ---------------- > summary(d) y x1 x2 x3 0:54 0:50 0:64 0:78 1:46 1:50 1:36 1:22 > fit <- glm(y ~ x1 + x2 + x3, data=d, family=binomial(link=logit)) >

I was involved with the issues building OpenSSH 7.2p1 to use the Solaris sandbox, but I ended up dropping out of the discussion due to being on the road for most of the last couple of weeks. Anyway, the problems persist with OpenSSH 7.2p2 when building with --with-sandbox=solaris. I found that there's an error in openbsd-compat/port-solaris.h on line 30, because the type priv_set_t

Dr Hosking, interested in coming to this? Michael Goldfarb, interested in coming to this? -- Sean Silva On Sat, Nov 17, 2012 at 12:53 AM, Joe Abbey <jabbey at arxan.com> wrote: > First LLVM Social in West Lafayette, IN. > > When: > Thursday, Dec 6th @ 8:30pm > > Where: > GreyHouse Coffee > 100 Northwestern Avenue > West Lafayette, IN 47906 >

First LLVM Social in West Lafayette, IN. When: Thursday, Dec 6th @ 8:30pm Where: GreyHouse Coffee 100 Northwestern Avenue West Lafayette, IN 47906 https://plus.google.com/102658466942690664690/about Please RSVP, so I can let GreyHouse know if we need a meeting room. Cheers, Joe ______________________________ Joe Abbey Director of Software Development Arxan Technologies jabbey at