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Or how to avoid the whirlwind. Greetings everyone. I observe the coding of lighdm is well under way and I'm thinking the pressure to meet the releases of 11.11 is probably going to build without bounds. Is there time now to consider the inclusion of some of the more offbeat use cases? 1: Headless(no monitor, keyboard, or monitor) 2: True headless(no video card) but Xvfb. 3: No X but only

Hi, I have a matrix that is indexed by groups and looks something like this: 1 1 2 1 2 1 . . . 2 1 1 2 1 2 2 NA 1 . . . 3 1 NA 3 2 NA etc. The first column is the group variable and I would like to apply categorical data imputation functions to the other two columns, doing so by groups. I have tried APPLY, BY and SPLIT, but have not had much luck getting it to work. I wonder if anyone has

Dear R help listers, I am trying to replicate results in Gelman and Hill's book (Chapter 3 in regressions and multilevel models). Below I estimated two models (chp3.1 and chp3.3 in R codes) with the same data and dependent variable but different independent variables. I have been using Stata for quite a while, and I know I can use foreach to build a loop to condense the codes (especially if I

Dear R listers, I am learning the MLE utility optim() in R to program ordered logit models just as an exercise. See below I have three independent variables, x1, x2, and x3. Y is coded as ordinal from 1 to 4. Y is not yet a factor variable here. The ordered logit model satisfies the parallel regression assumption. The following codes can run through, but results were totally different from what I

Dear R-help listers, I am a new convert to R. I am trying to use a r package to conduct latent class analysis as a triangulation check of my cluster analysis using the cluster package in R. I have about 30 cases and 6 indicators, some of which are binary indicators and others are ratio-level variables (percentages). I looked around for information in flexmix, lca, and poLCA, and couldn't find

Dear R experts, I am trying to use John Fox's effects package to conduct some post-estimation analysis.? I think it is a great package for graphing predictions after GLM type models.? However, I am having problems figuring out how to produce an adjusted mean.? For example, using the following two lines, I can get predictions when phd varies from 1 to 5, female set to 0 and enrol set to its