similar to: Nested ANOVA with covariates

Hello, I have tried to build ices both from CVS and from the latest tarball from the web site (using a varienty of configure options, or autogen.sh in the case of cvs). Whenever I try to run it I get errors: cadmium:/work/dl/Audio/streaming/ices-0.2.3 # /usr/local/icecast/bin/ices --help /usr/local/icecast/bin/ices: error while loading shared libraries: libgcc_s.so.1: cannot open shared object

#is there a way to get NA in the table of descriptive statistics instead of the function stopping Thank you in advance #data x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185",

Hi! I'm new to the list. I have a problem with mounting my home directory since my PC crashed. I hope that I can get some help on this list as I don't know much of ext3 myself. The mount command for my /home gives me the following output: # mount /dev/sda6 /mnt/tmp/ mount: wrong fs type, bad option, bad superblock on /dev/sda6, missing codepage or other error In some cases useful info

On Sunday 28 July 2002 02:06 am, you wrote: > On Sunday 28 July 2002 01:30 am, you wrote: > > Whenever I try to run it (ices)I get errors: > > > > cadmium:/work/dl/Audio/streaming/ices-0.2.3 # /usr/local/icecast/bin/ices > > --help /usr/local/icecast/bin/ices: error while loading shared libraries: > > libgcc_s.so.1: cannot open shared object file: No such file or

My desktop at work is CentOS 3.8, using the motherboard's onboard Intel 865 (82865G) graphics controller. Most of the day today I've been having sporadic instances where the screen simply goes black for about 2 seconds. It has nothing to do with whether I'm using the mouse or keyboard (or not) and the delay before it comes back on is not correlated to whether I *continue* to use the

Hi to you all! I'm new to R and to this mailing list, so do please excuse me if my question sounds stupid. Currently I'm working with a data frame called "results". In each column of "results" I have a set of results for different experiments (all results are numerical) realized in different dates, so that each row corresponds to a day. To make it clear when

Greetings, I am running a buch of wilcox tests and need to be able to rapidly export the results into a csv file. I have attached example code as well as my attempts to get what I need. I have tried unlist,cbind,rbind etc but I am obvously missing something simple. FYI I am actually running about 50 WRS tests per dataset, this is just an example. Thanks 10^6 Mike AKCCR <-

I googled on this for about an hour and the most relevant hit I got was, of course, the first hit: http://www.sowerbutts.com/linux-mac-mini/#support In it, he indicates that the stock Bluetooth module "should work, but untested" - he doesn't qualify the statement with anything. Has anyone tried chan_bluetooth or even the Bluz stack on a Mini or a G5? If so, under Linux or OSX?

I have been reading asterisks and everything I can get my hands on for the past week. I want to know what class processor is the bare minimum I need for a four port Asterisk installation? Thanks

hi all! Is it possible to trigger some external device trough parallel port or. serial on some caller id ? or if it's possible tu run some external (linux) program on specific caller id ? OR if anyone have idea how to open the doors with asterisk :) by, Thomas

First I would like to say thank you for taking the time to read it.Here is my problem. I am running a lmer analysis for binary longitudinal (repeated measures) data. Basically, I manipulated fruits and vegetation to two levels each(present and absent) and I am trying to access how these factors affect mice foraging behavior. The design consist of 12 plots, divided in 3 blocks. So each block

Hi, I'm have some data on a grid (specifically high throughput assay plates) and am interested in evaluating measures of spatial autocorrelation to flag plates for corrections. I have been using moran.test and geary.test from the spdep package. My approach is as follows: ## plate is a matrix of data coords <- expand.grid(1:32, 1:48) x <- as.numeric(plate) moran.test(x,

Hello, In my configuration I have mail_location = maildir:/Mail/frank.gr/%n:INDEX=/Mail/frank.gr/ __Indexes/%u I can create new folders in an IMAP session, but when I try to delete I get permission denied. From the LOG Sep 10 13:20:06 IMAP(stuart): Error: unlink_directory(/Mail/frank.gr/ __Indexes/stuart/.TEST) failed: Permission denied ls -ald /Mail/frank.gr/__Indexes/stuart/.TEST

Hi, i was hoping someone could help me out with a small yet quite time-boggling task...i have a two tables users, groups joined in as a habtam relashinship (has and belongs to many) and i need to select from the mydb (mysql if it matters) users out of the User model, in accordance with TWO groups in one rails opperation to improve performance...basicly, say i have ten groups and ten users,

I have a command which returns a data fram if I am not mistaken: sc <- split(x, list(x$Category, x$SubCategory), drop=TRUE) Now I wish to get the Category and SubCategory that the data was split on. So my first attempt would be: sc[[1]]$Category[1] But that yields [1] (Unknown) 46 Levels: (Unknown) 10" Plates 7" Plates (Dessert) ... WOMEN Is all I want is '(Unknown)'.

Dear helpers, I tried these models to run in the package nlme, but allways got the same error message... I have a correlation in 5 sessions within a field (n=12) with ten traps in one field. res2a <- lme(response~x+y+z+treatment),correlation = corARMA(form = ~ session|trapfield, p = 1, q = 0), random=~1|field, na.action=na.omit, data=plates, method="ML") res2a <-

Hi All, I'm trying to use the geoRglm package to run a poisson spatial glm on a dataset with several covariates. When I run without covariates I have no problems. control1.data.geo <- mcmc.control(S.scale=0.2, thin = 1) model1.data.geo <- list(cov.pars = c(1,1), beta=c(1), family="poisson") test1.model1 <- glsm.mcmc(data.geo, model=model1.data.geo,

Dear all, I have a question about time-dependent covariates in a coxph model. Specifically I am wondering whether it is possible to give more recent events a higher weight when constructing time-dependent covariates. Assume I have a sample of cancer patients and I would like to predict whether the number of treatments a patient received has an impact on survival time. For each patient in my

Hi, I've seen in the NestCohort package that one can do a hazard model with a binary outcome using covariates. I am interested in multistate hazard models with time-varying covariates, but can't seem to find this already implemented in an R package. Is this included somewhere but called something else? I feel like I've looked all over. Thanks! Michaela Gulemetova-Swan

Does anyone know if the survreg function in the survival package can fit numerical covariates ? When I fit a survival model of the form survreg( Surv(time,censored) ~ x ) then x is always treated as a factor even if it is numeric (and even if I try to force it to be numeric using as.numeric(x). Thus, in the particular example I am analysing, a simple numerical covariate becomes a factor