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Hi! I would like to invite you to visit my Refriendz page and see my latest photos. In order to visit my space, you must go to: http://www.refriendz.com/?do=Login.Invite&rid=rtskarthik&email=asterisk-users at lists.digium.com (If this link does not work, please copy and paste it into your browser or go to www.refriendz.com and enter 'rtskarthik' as Invitation ID to Login to the

Hi everybody, I'm trying to create a script that picks a txt file with 2 columns of coordinates (depth and variable1) and automatically tries to fit several polynomial with the function nls(). After that, it creates a list of observed, predict, residuals and other, and then it calculates AIC, RMSD, MAD and R^2. At the end of the script I create a series of vectors with MAD for all

A prebuilt binary. Needs non-free Watcom compiler to build. Signed-off-by: Lubomir Rintel <lkundrak at v3.sk> --- dosutil/mdiskchk.com | Bin 8106 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 dosutil/mdiskchk.com diff --git a/dosutil/mdiskchk.com b/dosutil/mdiskchk.com deleted file mode 100644 index

To Whom It May Concern: I have an R package and want to put this package be part of R-project and available to anyone who is interested in. The R package is created for my paper, titled "Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum-Saunders Distribution for Percentiles". The paper has been accepted by Communications in Statistics: Simulation and

Thank you for reading. I am trying to get sphericity values, and I understood I need to use mlm, but how do I implement a nested within subject design in mlm? I already read the R newsletter, fox chapter appendix, EZanova, and whatever I could find online. My original ANOVA anova(aov(resp ~ sucrose*citral, random =~1 | subject, data = p12bl, subset = exps==1)) Or anova(aov(resp ~