search for: metaanalyse

...mer as well as using glmmPQL. I played around with the control parameters and the methods (PQl, Laplace) in lmer without any effect. I would really appreciate if someone could have a look into my data and tell me what's going wrong here. My R script and data can be found at: http://www.metaanalyse.de/tmp/rhelp.R http://www.metaanalyse.de/tmp/rhelp.txt TIA, Bernd

Dear all, all data I am talking about can be found at <http://www.metaanalyse.de/tmp/test.dat>. The R-code is located at <http://www.metaanalyse.de/tmp/test.R> I'd like to plot the frequencies for status against year. Typing table(tmp$year) it can be simple seen that some years are missing, e.g. 1975-1978, 1981 etc. Using xyplot to display the data I do...

...nn=1/(PostVars[1,j]), summlabel="Summary", lwd=2, boxsize=1) meta.summaries -------------- What does it mean, when I get the warning message that NaNs were produced in "pchisq(q, df, lower.tail, log.p)"? Is there something wrong with my data (there are no NAs in the data)? MetaAnalyse <- meta.summaries(CoeffVector, StdErrorVector, method = "random")

..., I didn't found any solution for my problem which I could hardly believe. I strongly suspect that it's my fault but would appreciate any hint like RTFM on page XXX or so. Thanks in advance, Bernd [1] The red arrows indicate what I mean by "white grid lines" <http://www.metaanalyse.de/tmp/ggplot2.png> [2] I found some reasons why Hadley Wickham prefers the default theme at <http://finzi.psych.upenn.edu/R/Rhelp02a/archive/81812.html>, but most of our journals reject the use of any gray shading.

Hello, for my meta-analysis I try to test if two varainces are equal without using the raw scores. I have is the SD's, N's and the Means. I want to test the variances from dependent and independend samples. I assume I can use the var.test procedure for the independent samples, but what about the dependent samples ? Has anyone an idea how to realise this with R ? Thanks in advance