similar to: GLMM post- hoc comparisons

Displaying 6 results from an estimated 6 matches similar to: "GLMM post- hoc comparisons"

2003 Jul 02
0
Plain Password Question
Hello! We have Samba 2.2.2 and we're using security=share. Our clients are windows users (95,98,2000,XP). To permit the logon into the shares we ran the registry modification to enable plain passwords and all works fine until now. My question is if in the new versions (samba 3.0) we still need that change into the registry. That's because our informatic security department doesn't like
2007 Nov 26
0
SOLVED: Re: Dual boot box: WinXP & CentOS 5: Impossible to restore WinXP?
Some thoughts, for anyone faced with this type of problem on a dual boot box in the future: My first thought was to try to Rescue the WinXP Spanish language installation that came on the Dell Dimension 2400, out of the Dell factory. Later, I decided to wipe the entire drive, since I now have a WinXP English language Restore CD and I wanted to redo CentOS5, so I would have room to experiment with
2011 Aug 18
1
Comparison of means in survey package
Dear list colleagues, I'm trying to come up with a test question for undergraduates to illustrate comparison of means from a complex survey design. The data for the example looks roughly like this: mytest<-data.frame(harper=rnorm(500, mean=60, sd=1), party=sample(c("BQ", "NDP", "Conservative", "Liberal", "None", NA), size=500,
2018 May 08
4
[Bug 13423] New: Checksum option does not work as expected when append-verify is used
https://bugzilla.samba.org/show_bug.cgi?id=13423 Bug ID: 13423 Summary: Checksum option does not work as expected when append-verify is used Product: rsync Version: 3.1.3 Hardware: All OS: All Status: NEW Severity: normal Priority: P5 Component: core
2004 Feb 03
5
creating a factor
Hi list, I'd like to make a factor with seven 1s and three 2s using the factor() function. That is, 1 1 1 1 1 1 1 2 2 2 I will then bind this factor to the matrix below using cbind.data.frame(). 0.56 0.48 0.22 0.59 0.32 0.64 0.26 0.60 0.25 0.38 0.24 0.45 0.56 0.67 0.78 0.97 0.87 0.79 0.82 0.85 I am new to R and have been using various manuals and have made many attempts without
2013 Feb 17
1
addition in the initial question
Dear Elisa, Try this: vec1<-c(33,18,13,47,30,10,6,21,39,25,40,29,14,16,44,1,41,4,15,20,46,32,38,5,31,12,48,27,36,24,34,2,35,11,42,9,8,7,26,22,43,17,19,28,23,3,49,37,50,45) vec2<-vec1[1:26] names(vec2)<-LETTERS[1:26] label1<-unlist(lapply(mapply(c,lapply(seq(0,45,5),function(x) x),lapply(seq(5,50,5),function(x) x),SIMPLIFY=FALSE),function(i)