similar to: Survival analysis: same subject with multiple treatments and experience multiple events

All, First attempt at running foreman. [pax] prov01 /usr/share/foreman/script:# ./server -e production => Booting WEBrick => Rails 2.3.5 application starting on http://0.0.0.0:3000 /usr/share/foreman/vendor/rails/activesupport/lib/active_support/dependencies.rb:443:in `old_load_missing_constant'': uninitialized constant Puppet::Rails (NameError) from

Hi, We have an experiment where individuals responses were measured over 5 days. Some responses were not obtained because we only allowed individuals to respond within a limited time-frame. These individuals are given the maximum response time as they did not respond, yet we feel they may have done if given time (and by looking at the rest of their responses over time, the non-response days stand

Hi, How to configure sshd to required both ssh public key and user password also? yes, stupid, but required on my setup.. -- Eero

When trying to use the GLBasic editor in the latest version of WINE 1.11.1 (and with Ubuntu 8.10), I get the following error messages : fixme:actctx:parse_depend_manifests Could not find dependent assembly L"Microsoft.VC80.CRT" err:module:import_dll Library MFC80.DLL (which is needed by L"C:\\Program Files\\GLBasic\\EditorE.exe") not found err:module:import_dll Library

I am running R version ??? under Redhat 5.2. It seems as though the --nsize object has no effct on the size of the allocated Ncells as determined using gc(). Yes, I have that much data.... That is if I envoke R with R --vsize 100 --nsize 5000000 then type gc() I get free total Ncells 92202 200000 Vcells 12928414 13107200 Thanks Tony Long Ecology and Evolutionary Biology Steinhaus

I'm trying to fit a Cox proportional hazards model to some hospital admission data. About 25% of the patients have had at least one admission, and of these, 40% have had two admissions within the 12 month period of the study. Each patients has had one of 4 treatments, and one of the treatment groups has had no admissions for the period. I used:

Hi I need some help with ploting the ROC for K-nearest neighbors. Since KNN is a non-parametric classification methods, the predicted value will be either 0 or 1. It will not be able to test for different cutoff to plot ROC. What is the package or functions I should use to plot ROC for KNN? Thanks. Qian [[alternative HTML version deleted]]

I saw different specifications for Random Effects and I'm confused about the use of "/" and the use of "(0+...|)" . Let say we have a nested structure where some countries have some several plants in different states and we measure the reaction to a drug. The list of Countries = USA, France, Italy The States for USA = Michigan, Florida, California The States for France

On 09/04/17 14:39, Anthony K wrote: > > So, at which stage are you in w/ regards to adopting systemd? Are you > still ridiculing it, violently opposed to it, or have you mellowed to it? Thanks for all those that responded. systemd still appears to be a sore topic. systemd is still coping a whole lot of ridicule but not so violent opposition. Can't say I understand why, but you

dear all i need driver for IC CY7C68001 (cypress semiconductor) for linux .can anyone guide me for this driver link? i am running my exe through Wine.. so wheter wine will automatically pick the driver from kernal or i have to add this driver into the W ine lib ?? regards

Sir, I want to calculate double integral in R. Is there any function to do this? Regards, Suman Dhara [[alternative HTML version deleted]]

I need your kind help regarding the following: I wish to know is there any way to use R in Visual Basic environment. I want to develop a VB application where R can be embedded (R will work as a back end statistical engine). If available, please provide me some source of study materials/articles available on the internet related to this. -- Thanks & Regards, Soumen Pal [[alternative HTML

Hello R listing, I did two-way anova on lm. Further question the investigator interested in is what two treatments are different? I am looking for a command which could do pairwise comparison for every treatment. Could anyone help me out? Thanks a bunch Kevin

Dear All, I would like to find something ( references, code,..) to implement a comparison of three treatments in an observational study using the 'Propensity Score'. Any help is much appreciated. Thanks! Giovanni -- dr. Giovanni Parrinello Department of Biotecnologies Medical Statistics Unit University of Brescia Viale Europa, 11 25123 Brescia email: parrinel at med.unibs.it Phone:

Hi, I am comparing three treatments. The data come from a longitudinal study, and for each treatment I have only 1 case, on which the observations across 20 years are made. My main aim is to compare the three treatments, but the effect of time is of interest as well. Which of the many R functions should I use for that purpose? I applied the aov function and received this:

Hi R-users I'd like to know if there is some packages or functions to do comparison of treatments after that manova pointed differences between them. Any suggestions are much appreciated. __________________________________________________________ Eng. Agr., M.Sc. Eduardo Dutra de Armas __________________________________________________________ Centro de Energia Nuclear na Agricultura

Hi Folks, I'm a bit puzzled by the following (example): N<-factor(sample(c(1,2,3),1000,replace=TRUE)) unique(N) # [1] 3 2 1 # Levels: 1 2 3 So far so good. Now: contrasts(N)<-contr.treatment(3, base=1, contrasts=FALSE) contrasts(N) # 1 2 # 1 1 0 # 2 0 1 # 3 0 0 whereas: contr.treatment(3, base=1, contrasts=FALSE) # 1 2 3 # 1 1 0 0 # 2 0 1 0 # 3 0 0 1 contr.treatment(3, base=1,

Hi, I am a complete newcomer to R and although I can plot standard box-plots I am struggling with this... I have two treatments - A & B, and 2 variables 1 & 2. I want to compare boxplots of variable 1 with variable 2 for each treatment. I would also like them to all be on the same graphic. I would like treatment to be on the x axis (A and B) and above A and B have their corresponding

Hi, I have searched the archives and can't quite confirm the answer to this. I appreciate your time... I have 4 treatments (fixed) and I would like to know if there is a significant difference in metal volume (metal) between the treatments. The experiment has 5 blocks (random) in each treatment and no block is repeated across treatments. Within each plot there are varying numbers of

I have a dataframe with several different treatment variables, and would like to calculate the mean and standard deviation of the replicates for each day and treatment variable. It seems like it should be easy, but I've only managed to do it for one treatment at a time using subset and tapply. Here is an example dataset: > `exampledata` <- structure(list(day = c(1L, 1L, 1L, 1L, 1L,