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Really? Me? Oh Pavel! I would be inestimably honoured. On 04/27/2012 01:55 AM, Pavel Ismailov wrote: > Hello! > > My name is Pavel Ismailov > and I`m CEO of www.flashphoner.com project. > > We noticed that you quite active in Asterisk-user > mail list, and would like to offer you buy signature > in your messages for some monthly price. > > Is it interested for

...33730 0.26121587 The "Residual" variance in "fit.lme0" equals the sum of "origin" and "Residual" variances in "fit.lme". It would help if 'lme' checked for situations like this and either refused to run or dropped inestimable variance components. However, it's possible that there are so many ways that variance components can be inestimable that it's just not feasible to check for them all. (The function 'varcomp' in S-Plus 6.2 has the same problem.) 2. CROSSED OR NESTED? Are '...

Hi R users, I sent a message yesterday about NA in model estimates ( http://r.789695.n4.nabble.com/How-set-lm-to-don-t-return-NA-in-summary-td3722587.html). If I use aov() instead of lm() I get no NA in model estimates and I use gmodels::estimable() without problems. Ok! Now I'm performing a lot of contrasts and I need correcting for multiplicity. So, I can use multcomp::glht() for this.

Dear R-users, I need some  assistance. I am running some interactive variables for categorical variables. I have dgen(2 levels converted to dummy variables)  and dtoe(4-levels also converted to  dummy variables). So I have worked with them in two ways: i created a variable X1 = dgen*dtoe  and I get an error "Error in dgen * dtoe : non-conformable arrays"then i run a glm, binomial