similar to: [PATCH 1/4] php: fix invalid memory access with OptString

Adapt to the API changes in the newer versions of the Zend framework, in particular regarding: - strings handling - resources handling (used for the guestfs_h pointer) - iterating in hash maps - data types for function arguments Introduce helper macros to reduce greatly the amount of #if's all around the generated C code. --- generator/php.ml | 96

https://bugzilla.redhat.com/show_bug.cgi?id=847880 https://bugzilla.redhat.com/show_bug.cgi?id=847881 This patch series adds various optional arguments to the tar-in and tar-out commands. Firstly (1/7) an optional "compress" flag is added to select compression. This makes the calls tgz-in/tgz-out/txz-in/txz-out deprecated, and expands the range of compression types available.

This map was originally included just for the java bindings, but is generally useful to any binding which uses camel case by requirement or convention. --- generator/generator_haskell.ml | 4 ++-- generator/generator_java.ml | 10 +++++----- generator/generator_main.ml | 2 +- generator/generator_structs.ml | 12 +++++------- generator/generator_structs.mli | 8 ++++---- 5

Hello, I am a new R user. More precisely, I am working with JRI (on a Eclipse Java6 project under Ubuntu9). I have difficulties to access some R packages (For example: package "stats", object "Normal", function "pnorm"). I have tried many solutions to set the right path but nothing have succeed: For example:

is there no package/function in R to calculate the conditional power or the bayesian predictive power for trials with binary endpoints? Thanks -- View this message in context: http://www.nabble.com/Conditional-power%2C-predictive-power-tf3603396.html#a10066991 Sent from the R help mailing list archive at Nabble.com.

Hi all. I have problem compiling xapian php bindings. I am using debian sarge. I have installed php4-dev before compilation. I am getting the following errors: boomer:~/xapian/xapian-bindings-0.9.0# make make all-recursive make[1]: Entering directory `/root/xapian/xapian-bindings-0.9.0' Making all in php4 make[2]: Entering directory `/root/xapian/xapian-bindings-0.9.0/php4' make

Make sure to free the char** created to convert the arguments. --- generator/php.ml | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/generator/php.ml b/generator/php.ml index 28903d0..b49bf60 100644 --- a/generator/php.ml +++ b/generator/php.ml @@ -458,6 +458,16 @@ PHP_FUNCTION (guestfs_last_error) pr "\n" | Bool _ | Int _ | Int64 _ | Pointer _ ->

I'm puzzled by the behaviour of factors in rma models, see example and comments below. I'm sure there's a simple explanation but can't see it... Thanks for any input John Hodgson ------------------------------------- code/selected output ----------------- library(metafor) ## Set up data (from Lenters et al A Meta-analysis of Asbestos and Lung Cancer... ##

Hello all. I need to redefine a docid type (and all dependent types) like this: typedef unsigned long long docid; I think it would be enough to edit "include/xapian/types.h", but it isn't so. 1) I've added : string om_tostring(unsigned long long val) { CONVERT_TO_STRING("%llu") } in common/utils.{h,cc} 2) In include/enquire.h (line 438) I've found the

Hi, I'm using metafor to perform a mixed-effects meta-analysis. I'd like to test whether the effect is different for animals and plants/whether "group" (animal/plant) influences the effect size, but am having trouble interpreting the results I get. I've read previous posts about QM in metafor, but I'm still a bit confused. I've dummy-coded the factors:

Dear R-Helpers, I want to compare the results of outputs from glmmPQL and lmer analyses. I could do this if I could extract the coefficients and standard errors from the summaries of the lmer models. This is easy to do for the glmmPQL summaries, using > glmm.fit <- try(glmmPQL(score ~ x*type, random = ~ 1 | subject, data = df, family = binomial), TRUE) > summary(glmmPQL.fit)$tTable

Mostly like StringList (so it can used in current StringList parameters), but checking client- and daemon-side that the elements are relative paths. --- generator/bindtests.ml | 3 ++- generator/c.ml | 29 ++++++++++++++++++++++++----- generator/csharp.ml | 4 ++-- generator/daemon.ml | 20 ++++++++++++++++++-- generator/erlang.ml | 2 +- generator/fish.ml |

Mostly like StringList (so it can used in current StringList parameters), but checking client- and daemon-side that the elements are file names. --- generator/bindtests.ml | 3 ++- generator/c.ml | 29 ++++++++++++++++++++++++----- generator/csharp.ml | 4 ++-- generator/daemon.ml | 20 ++++++++++++++++++-- generator/erlang.ml | 2 +- generator/fish.ml | 10

Hello metafor users, I'm using metafor to perform a single-effect summary estimate of the raw proportion of patients experiencing a post-operative complication, and I'm interested in seeing if this proportion differs between the three most commonly used surgical techniques. The software is working as expected, but I would like to double check on the interpretation of my mixed-effect model

Dear Metafor users, I'm conducting a metaanalysis of prevalence of a particular behaviour based on someone elses' code. I've been labouring under the impression that this: summary(rma.1<-rma(yi,vi,mods=cbind(approxmeanage,interviewmethodcode),data=mal,method="DL",knha=F,weighted=F,intercept=T)) is doing the multivariate analysis that i want, but have read that

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20110220/1f45c288/attachment.pl>

I had found the author's (Wolfgang Viechtbauer) earlier meta-analytic code in R, MiMa, useful. so I have been exploring metafor using an example dataset from MiMa. metafor provides a lot more. However, MiMa provided parameter estimates, standard errors, z values, etc. for individual moderators in the meta-analysis, but I don't see how to obtain these from metafor. Have you any help

Hi I have tryed to do the meta-regression in metafor package, but I would like to get the standardized coefficients for each variable, however in command:   Ø  res<-rma.uni (yi, vi, method="REML", mods=~cota+DL+uso+gadiente+idade, data= turbidez)   I just have the coefficients no standardized (estimate) of the multiple regression. What I need to do? Thanks Fernanda Melo

-- Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones virt-top is 'top' for virtual machines. Tiny program with many powerful monitoring features, net stats, disk stats, logging, etc. http://et.redhat.com/~rjones/virt-top -------------- next part -------------- >From 34a463e8a3f5c05f8258c2b6cfaa6d983e703c83 Mon Sep 17 00:00:00 2001 From: Richard Jones

It is already considered as string option, so create an option string value in the C glue for OptString parameters. --- generator/daemon.ml | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/generator/daemon.ml b/generator/daemon.ml index a4e136aaa..c2b7c79a2 100644 --- a/generator/daemon.ml +++ b/generator/daemon.ml @@ -600,6 +600,22 @@ let