similar to: forest (meta) editing text

Hi, ? Is there some easy way to split the grid.newpage() into two columns? For example, how could I put the two forest plots below (meta1 and meta2) next to each other? library(meta) data(Olkin95) meta1 <- metabin(event.e, n.e, event.c, n.c,data=Olkin95, subset=c(41,47,51,59),sm="RR", meth="I",studlab=author) meta2=meta1 meta2$studlab=rep("",length(meta1$studlab)

Hi, I am trying to add additional columns to a forest plot using the meta package. The study information and subgroup analysis plotting is handled properly. For this output the data is ordered first by subgroup label (rnd.subgroup1 in the example) and second decreasing size of totals ('n' in the example). The proper ordering of this data is confirmed by the color coding (black and red in

OK this is bound to be something silly as I'm completely new to R - having started using it yesterday. However I am already warming to its lack of 'proper' GUI... I like being able to rerun a command by editing one parameter easily... try and do that in a Excel Chart Wizzard! I eventually want to use it to analyse some chemotherapy response / survival data. That data will not be

Estimado Gracias por su ayuda José 2023-05-06 19:47 GMT-04:00, Carlos Ortega <cof en qualityexcellence.es>: > Hola, > > Si añades lo que destaco, defines el layout y queda más ajustado en la > pantalla. > > #-------------------------- > library(readxl) > Sistolica <- read_excel("./Sistolica1.xlsx") > library(meta) > m <- metacont( >

Hello! I have some data stored into 2 separate csv file. 1 file (called A.csv) (12 results named Group1, Group2, Group3, etc...) odds ratios, 2 file (called B.csv) 12 corresponded errors. How to import that data into R and make forest plot like I saw inside help file Rmeta and meta with included different font colors and names trough X and Y axis. I know for meta libb ... out <-

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

Hi, I want to do a meta-analysis with count data for treatement/control cases. Mi problem is that I need to use zero values (an informative zero value) for the mean and standard deviation for one of the treatement, but R has a problem: "Studies with zero values for sd.e or sd.c get no weight in meta-analysis". I can agroup the case by Family (byvar=Family). ¿Can you help me? Thanks!

Estimados Como logro en el forest plot que el gráfico quede en unos margenes que se pueda ver completo. Adjunto archivo saludos José library(readxl) Sistolica <- read_excel("000 EN DISEñO/0000 eli cardio 2/0000 para metanalisis/Sistolica.xlsx") library(meta m <- metacont(Ne, Me, Se, Nc, Mc, Sc, studlab=paste(Author, year), forest(m) funnel(m) ------------ próxima

Hello, I'm using the rmeta package to perform a meta analysis using summary statistics rather than raw data, and would like to analyze the effects in three different subgroups of my data. Furthermore, I'd like to plot this on one forest plot, with corresponding summary weighted averages of the effects displayed beneath each subgroup. I am able to generate the subgroup analyses by simply

Hi! I want to do a meta-analysis with count data for treatement/control cases. Mi problem is that I need to use zero values (an informative value) for the mean and standard deviation for one of the treatement, but R has a problem: "Studies with zero values for sd.e or sd.c get no weight in meta-analysis". I can agroup the case by Family (byvar=Family). ¿anybody help me? Thanks! >

Hello list, I want to make a large rulebased algorithm, to provide decision support for drug prescriptions. I have defined the algorithm in a function, with a for loop and many if statements. The structure should be as follows: 1. Iterate over a list of drug names. For each drug: 2. Get some drug related data (external dataset). Row of a dataframe. 3. Check if adaptions should be made to

hi Jay, Consult a local statistician. Statistics is not you think is (namely simple computations, R and probably plotting..). regards, vito Jay Zola <jayjay.1988 at hotmail.nl> ha scritto: > Hello, > > > I am medical student, writing a meta-analysis on complication and > reoperation rates after the five most common treatments of distal > radius fractures. I have

Hello, I am medical student, writing a meta-analysis on complication and reoperation rates after the five most common treatments of distal radius fractures. I have been busy with the statistics for months by my self, but find it quite hard since our classes were very basic. Now I want to compare the treatment modalities to see if there are significant differences. Using R I was able to

Hello, I try to write a bash skript and I want to use the variables from my bash skript into R. Ist that possible? My bash skript creates lots of *.data files. I want forward these files directly into R (in x.data.bz2), so that R creates a few data automatically also in PDF. For example: bash created files: hello.data , world.data how R created these files in pdf? please look my plot.R

Dear all, Max, first of all, many thanks for providing the odfWeave package. My problem: Whenever I have multiple plots in one single chunk of my ODF file, only the last plot gets shown. The problem can be reproduced with this toy example (to be used in an ODF file together with odfWeave -- I'm using the newest version 0.7.3): <<plot1, echo=FALSE, fig=TRUE>>= for (i in 1:3) {

Dear All: The question: How do I check for existance of the GUI, instead of checking the variable of the GUI? I created a log window for several applications, they will check for the existance of log window, if it exists, append output to it, otherwise, create log window and insert to it. What I found out is that if I close the X window of the GUI, the variable logwin still exists, confuse

Hi, I need to call an R program from Sas. I have tried using the following code in Sas using the x command but it just calls up dos and says 'D:\Program' is not recognized as an internal or external command, operable program or batch file. ] SAS CODE: options xwait xsync; %let Rsource=S:\EPI_Data\Communicable Diseases\DR1355 Historic Communicable Disease Analaysis\R graphics; options

Back in August, several of us participated in a discussion about getting a more robust memory dependence analysis framework into LLVM. Wojtek Matyjewicz has done some work on this and he attached a patch to an e-mail at the time that built against an older version of LLVM. Wojtek, what's the status of this patch? Does it build against HEAD? Do you plan to check it in any time soon?

Dear Rxperts, Running the following code: ======================================================= twlo=10; twhi=20; wt=154; vd=0.5; cl=0.046; tau=6; t=3; F=1; wtkg <- wt/2.2 # convert lbs to kg vd.pt <- wtkg * vd # compute weight-based vd (L) cl.pt <- wtkg * cl # compute CL (L/hr) k <- cl.pt/vd.pt # compute k (hr^-1) cave <-

Hello R-help Readers I'm currently in the process of trying to write a permutation test procedure for looking at differences between groups with a multivariate data set (something equivalent to ANOSIM - analaysis of similarities for those familiar with this test). As with other permutation tests, for cases where there are large numbers of possible permutations, randomly sampling from these