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Hi All, If given a dataframe (long form) with Year, Species, and Location, How would I write a function that would create a unique matrix of Species & Location for each Year? What I've tried doing is the following: data #dataframe dataT<-table(data$Species,data$Location,data$Year) #creates tables of Species vs Location for each Year But I'm encountering issues individually

I am working on my thesis in which i have couple of independent variables that are categorical in nature and the depndent variable is dichotomus. Initially I run univariate analysis and added the variables with significant p-values (p<0.25) in my full model. I have three confusions. Firstly, I am looking for confounding variables by using formula "(crude beta-cofficient - adjusted

...Distribute Status: Started Number of Bricks: 9 Transport-type: tcp Bricks: Brick1: n01:/local/archive Brick2: n02:/local/archive Brick3: n03:/local/archive Brick4: n04:/local/archive Brick5: n05:/local/archive Brick6: n06:/local/archive Brick7: n07:/local/archive Brick8: n08:/local/archive Brick9: n09:/local/archiv Options Reconfigured: nfs.disable: on features.quota: off A few minutes after starting the rebalance I get: [root at n03 glusterfs]# gluster volume rebalance archive status rebalance step 1: layout fix in progress: fixed layout 3 Cheers, Frank

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking