similar to: general question on Spotfire

I have a R code that loads a FORTRAN DLL to do some calculations. The code works fine when I use it in R. But when I try it in spotfire it throws an error that the it is unable to load the shared library and the specified DLL cannot be found. I have used "setwd" to point to the location in the spotfire statistical services server library. Is this the correct way to call the DLL in

TIBCO Software Inc. today launched TIBCO Spotfire 3.1, the latest version of its in-memory analytics platform, making predictive analytics based on R & S+ accessible within Spotfire's visual user experience. With this release, R & S+ users will be able to share and deploy their scripts through the Spotfire platform, making advanced analytics accessible to Business Analysts. While R

Hello. A quick question about incorporating variation due to study in the metafor package. I'm working with a particular data set for meta-analysis where some studies have multiple measurements. Others do not. So, let's say the effect I'm looking at is response to two different kinds of drug treatment - let's call their effect sizes T1 and T2. Some studies have multiple

Our firm would like to route support requests through a website instead of using email. However R will refuse to install a package if DESCRIPTION's Maintainer field does not have a valid email adress or the special value "ORPHANED". (The check is done with tools:::.valid_maintainer_field_regexp.) I imagine a typical Maintainer line for the package "foo" might be

Hi, I have been looking for an R package which allowed to do meta-analysis (both pairwise and network/mixed-treatment) at arm-level rather than at trial-level, the latter being the common way in which meta-analysis is done. By arm-level meta-analysis I mean one that accounts for data provided at the level of the individual arms of each trial and that does not simply derive the difference between

Hola, lo primero muchísimas gracias a todos por las respuestas que me habéis dado. Precisamente, lo que busco es una solución opensource para realizar informes con los resultados de R. Que permita cierta maquetación como LaTeX, y sobre todo una impresión correcta (que no corte las imágenes como ocurre con markdown/html). Y si dicha solución está orientada a servidor pues mucho mejor. Respecto a

Hello, I experimented the Metafor and Meta packages in the scope of replacing Excel for meta-analysis. I performed the first working example provided in Michael Borenstein's book "Introduction to Meta-Analysis" with Excel, Metafor and Meta. The numbers given by my spreadsheet, which I validated from Borenstein's book, conrespond quite closely to those given by Meta, but

Hello, Great to see the new metafor package for meta-analysis. I would like to perform a meta-analysis in which I initially calculate the intercept of the model with a nested random-effects structure. In lme, this would be model<- lme(v3~1, random=~1|species/study, weights = varFixed(~Wt), method = "REML") where multiple effects sizes are measured for some studies and more than

Hello,   I would like to do a meta-analysis with the package « metafor ». Ideally I would like to use a mixed model because I’m interested to see the effect of some moderators. But the data set I managed to collect from literature presents two limits.   -         Firstly, for each observation, I have means for a treatment and for a control, but I don’t always have corresponding standard

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

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

Dear users of metafor, I am working on a meta-analysis using the metafor package. I have a excel csv database that I am working with. I am interested in pooling the effect measures for a particular subgroup (European women) in this csv database. I am conducting both sub-group and meta-regression. In subgroup-analyses, I have stratified the database to create a separate csv file just for European

If x has an S3 class then sort.int(x) returns a value without an S3 class but which has the is.object flag set, which, I think, causes identical() give a false/misleading report: > x <- structure(1:3, class="unrecognizedClass") > y <- sort.int(x) > t <- 1:3 > identical(y, t) # expect TRUE [1] FALSE > identical(as.vector(y), as.vector(t)) # expect

Victor, Me parece que podrías investigar si Scribus puede generar e insertar la salida de R en sus documentos, por lo que estás agregando a tu pregunta me parece que BI no es el camino. Si lo haces, creo que a más de uno en esta lista le interesará la experiencia. La alternativa sugerida por Emilio usando Rthml y CSS con probablemente markdown y, yo agregaría, pandoc me resulta muy interesante y

Is there any graphical frontend/secondary programm (freely availible for Windowsor Linux) which can be used with R to display the results of a principle component analysis in 3D space (rotatable!?)? It works with Spotfire, but is there any freely or cheaply availible programm? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

In a classical meta analysis model y_i = X_i * beta_i + e_i, data {y_i} are assumed to be independent effect sizes. However, I'm encountering the following two scenarios: (1) Each source has multiple effect sizes, thus {y_i} are not fully independent with each other. (2) Each source has multiple effect sizes, each of the effect size from a source can be categorized as one of a factor levels

Dear Dushanthi, Please keep your e-mails on the R-Help list, where Michael has already given you some excellent advice. As Michael already explained, metafor can handle proportions, but does not have any specific functionality for categorical variables with more than 2 levels (at the moment). So, if it is logical and possible to do so, you could collapse the levels of the categorical outcome to 2

Hi, I would like to do a meta-analysis, i.e., a mixed-effects regression, but I don't seem to get what I want using both the nlme or metafor packages. My question: is there indeed no way to do it? And if so, is there another package I could use? Here are the details: In my meta-analysis I'm comparing different studies that report a measure at time zero and after a certain followup

Hi - I am conducting a meta-analysis and I have a matrix of f-statistics, Ns and dfs from a series of studies that tested for an interaction in a 2x2 anova. I'd like to test whether the 2x2 interaction is significant in the aggregate. Similarly, I have a matrix of chi-square statistics that I'd like to meta-analyze. How can I input these test statistics into the "metafor"

Hello, I once used the metawin software to perform a meta-analysis (see metawinsoft, Rosenberg et al.) and produced normal qqplot to test for a potential bias in the dataset. I now want to re-use the same dataset with the package metafor by W. Viechtbauer (great package btw). I run the qqnorm.rma.uni function. I use standardized effect sizes as in metawin. QQplot generated with metafor differs