hi,
I'm student doing Msc in operational research and applied statistics in
Salford university ,now I'm doing my project which is conducting
meta-analysis in R , i was wondering how i can evaluate continuous outcome using
rmeta package, i really appreciate if you can help me in that matter.
thanks in advance
Mohammed Owlowa
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looks like you need to have a look at the package description. If you want help from this list you probably need to look at the posting guidelines, and then do a little poking around to figure out what your specific problems are. Stephen On Thu, Jun 26, 2008 at 10:19 AM, mohammed alawa <osaf_333@yahoo.com> wrote:> hi, > > I'm student doing Msc in operational research and applied statistics in > Salford university ,now I'm doing my project which is conducting > meta-analysis in R , i was wondering how i can evaluate continuous outcome > using rmeta package, i really appreciate if you can help me in that matter. > > thanks in advance > > Mohammed Owlowa > > > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >-- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis [[alternative HTML version deleted]]
Dear : I am a college student, one R beginner, now i am doing one exercise with mclust package. I want to try one hierarchy cluster ananlysis on my data and my aim is to find out the clusters from the result and what are the members for each cluster? So can you give me some advices thanks in advance! chunping wang
mclust is not doing the hierarchicial clustering, if I understand your question correctly. Presumably you define certain distance measure, hclust and cut funtions should do the job. On the other hand, if the purpose is to extract the classification labels from mclust package, it should be straightforward based on its documentation. X ??? ??:> Dear : > I am a college student, one R beginner, now i am doing one exercise with mclust > package. > I want to try one hierarchy cluster ananlysis on my data and my aim is to find > out the clusters from the result and what are the members for each cluster? > So can you give me some advices > thanks in advance! > > > chunping wang > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >
Assuming that you have installed and loaded the mclust library, type ?Mclust in the R-prompt. An example is provided there with the popular iris dataset. It seems to be as simple as Mclust(yourdata), where "yourdata" contains the dataset (data columns of your dataset) on which you want to perform cluster analysis; see the documentation for options. By standard, Mclust looks for 1to 9 clusters. ------------------------- cuncta stricte discussurus ------------------------- -----Urspr?ngliche Nachricht----- Von: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Im Auftrag von ??? Gesendet: Sunday, June 29, 2008 11:10 PM An: R-help at stat.math.ethz.ch; R-help at stat.math.ethz.ch Betreff: [R] help Dear : I am a college student, one R beginner, now i am doing one exercise with mclust package. I want to try one hierarchy cluster ananlysis on my data and my aim is to find out the clusters from the result and what are the members for each cluster? So can you give me some advices thanks in advance! chunping wang ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.