similar to: Standard Error for individual patient survival with survfit and summary.survfit

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

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:

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... ##

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

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:

OptString maps to a "s!" argument, which makes zend_parse_parameters not touch the variables (char* and length) when NULL is passed as parameter. Hence, set both to NULL/0, and check for non-NULL char* variable before checking its length. --- generator/php.ml | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/generator/php.ml b/generator/php.ml index

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

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 r-help list members, I'm experiencing problems getting type="b" (or "o" or "c") to work in llines(). Try, e.g., the following scaled-down example: x <- factor(c("a", "b", "a", "b")) y <- c(1,2,1,2) z <- factor(c("A", "A", "B", "B")) symbols <- 1:2 lines <- 1:2

Have you looked at the CRAN Natural Language Processing Task View? If not, why not? If so, why were the resources described there inadequate? Bert On Jul 11, 2017 10:49 AM, "Paul Miller via R-help" <r-help at r-project.org> wrote: > Hello All, > > I need some help figuring out how to extract combinations of target > words/terms from cancer patient text medical

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 Paul, No need to collapse the information into a single text string, gregexpr() can take a vector of strings (sentences in your case). You can split your sentences up, number them how you want, then search for your pattern either via regex or via these extra packages you use which probably use the PCRE regex library anyway. However, as this is basically what you did, I'm not sure why

Hello All, I need some help figuring out how to extract combinations of target words/terms from cancer patient text medical records. I've provided some sample data and code below to illustrate what I'm trying to do. At the moment, I'm trying to extract sentences that contain the word "breast" plus either "metastatic" or "stage IV". It's been some

Dear group, I am trying to prepare a NONMEM friendly dataset for population PK analysis. My patient IDs are 10 digit long and NONMEM is losing precison and rouding the last couple of digits. I need to generate unique Patient IDs fromt he current 10-digit IDs. Ihave total 250 subjects so I appreciate if anybody can suggest me a way to code this in R. Regards, Ayyappa [[alternative HTML

I am confused when trying the function survfit. my question is: what does the survival curve given by plot.survfit mean? is it the survival curve with different covariates at different points? or just the baseline survival curve? for example, I run the following code and get the survival curve #### library(survival) fit<-coxph(Surv(futime,fustat)~resid.ds+rx+ecog.ps,data=ovarian)

This is very OT. If list readers can point me in the right direction, to other mailing lists, or web sites for recommended databases, that will be much appreciated! My wife's doctor wants to move records, for approximately 6000 patients (over a 12 year period), from paper (18th century) to a database (20th century). The data entry will be a PITA, for his secretaries, regardless of what

Hi It seems that survfit() doesn't accept the argumnet 'error' as below >survfit(fit, error='greenwood') Error in survfit.coxph(fit, error = "greenwood") : unused argument(s) (error ...) Isn't is allowed to do that for a coxph object? Regards Soren Windows XP, SP2 R 2.3.0

--begin inclusion --- I am trying to extract output information from the survfit function in order to generate a matrix of select output for multiple factors. Specifically, I am interested in extracting the number of events (in the output below: 106, 2, 3). The variable names represented in my function (ee) are shown below, but none of those variables correspond to the column of events as shown

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Hi R-helpers, I was trying to put gender='Male' in newdata to create a expected survival curve for a pseudo cohort by using survfit based on Cox regression. My codes are shown below: fit<- coxph(Surv(end, status2)~gender, data=wlwsn1) Summary(fit) coef exp(coef) se(coef) z p genderMale 0.204 1.23 0.0912 2.23 0.025