similar to: residuals in lme4 package

Dear R-users, I was wondering if anybody knows if it's possible to obtain a p value for the full model of a GLMM with the lme4 package. I was told that I should check whether the full model including all the predictor variables is significant before doing stepwise regression or further analysis, but I can't figure out how to do this. I also wanted to know if there's a way of

Hi all, I was wondering if somebody could give me advice regarding the dispersion parameter in GLMM's. I'm a beginner in R and basically in GLMM's. I've ran a GLMM with a poisson family and got really nice results that conform with theory, as well with results that I've obtained previously with other analysis and that others have obtained in similar studies. But the

Hello, I am trying to use the lmer function from the lme4 package I have installed today (lme4_0.999375-32.zip; R-2.10.1). According to the information, I should be able to use a generalized linear mixed model. However when I try to fit a model with Gamma distribution of the errors, it gives me the following error model1<-lmer(Cmic~1+(1|FOREST/DEPTH),data=DATOS,family=Gamma) Error en

I met today a computer crash and our maintenance officer had to reinstall some components of the OS (MS Windows XP Pro) as well as the Internet browser (among other things). Now, I cannot install packages from a distant repository: > utils:::menuInstallPkgs() Error in .readRDS(pfile) : unknown input format > traceback() 5: .readRDS(pfile) 4: .packages(all.available = TRUE) 3:

Any help with this problem would be greatly appreciated: I need to produce a custom plot i haven't come across in R. Basically, I want to show means, 1st standard deviation and 5th and 95th percentiles visually, using something resembling a boxplot. Is it possible to completely customize a boxplot so that it shows means as the bar (instead of, not as well as medians), standard deviations at

Hi, I am trying to find a function to match two data frames of different lengths for one field only. So, for example, df1 is: Name Position location francesca A 75 cristina B 36 And df2 is: location Country 75 UK 56 Austria And I would like to match on "Location" and the output to be something like: Name Position Location Match francesca A 75 1 cristina B 36 0 I have tried with

Lista aprovados Maravilha: Amamba?: ANDERSON BEZERRA MOURAO, LUCAS CAULA ALBUQUERQUE, GEILSON HOLANDA SAMPAIO, RAFAEL FERNANDES, JO?O CARLOS MOREIRA DE CARVALHO, DEBORA CRISTINA SCHNORNBERGER, MARIA MACLENE BEZERRA LIMA, JOAO PEDRO TAVARES MAGALHAES. TAMYRES AMORIM SOUZA, CAIO CESAR FERNANDES LOPES, MAGNUN SANTOS FREDERICO, IAGO SIMOES CALIARI, RITA MARIA SILVA ALMEIDA. Pedreiras. Maravilha,

Dear R users, I've had no joy finding a solution to this online or in any of my R books. Many thanks in advance for any help you can give. I'm seeking to output a data frame (or matrix - it doesn't matter which for my purposes) to a .txt file, but omit any row or column names. The data frame that I'm using doesn't actually have column or row names to start with as it has been

Hi! I'm trying to perform propensity score matching on survey data and so for each individual observation I have a statistical weight attached. My question is: is there a way within the package to consider these weights in the matching procedure? Thank you very much. -- Maria Cristina Maurizio [[alternative HTML version deleted]]

Dear David, Thank you very much. You have solved my problem, not of importing in the right format but the date conversion. It works for me, and if I specify the timezone tz='GMT', I get exactly the same time of the webpage. Sincerely yours, Cristina On Tue, 11 Jul 2017 07:15:43 -0700, David Winsemius wrote: >> On Jul 11, 2017, at 6:25 AM, Cristina Silva <csilva at

Dear all I have tried to estimate the confidence intervals for predicted values of a nonlinear model fitted with nls. The function predict gives the predicted values and the lower and upper limits of the prediction, when the class of the object is lm or glm. When the object is derived from nls, the function predict (or predict.nls) gives only the predicted values. The se.fit and interval aguments

> On Jul 11, 2017, at 6:25 AM, Cristina Silva <csilva at ipma.pt> wrote: > > Dear Jeff, > > I am sorry, I didn't notice that it was not plain text. I hope that it is now in the correct format. I explain the problem again, now with more detais. > I am collecting the track positions of our research vessel from www.marinetraffic.com. In the page, the data appear in a

Dear Jeff, I am sorry, I didn't notice that it was not plain text. I hope that it is now in the correct format. I explain the problem again, now with more detais. I am collecting the track positions of our research vessel from www.marinetraffic.com. In the page, the data appear in a table: Timestamp Source Speed (kn) Latitude (?) Longitude (?) Course (?) Show on Map

Not reproducible. [1][2][3] If our answers don't seem to apply to your situation, it will likely be because you did not explain your question clearly. Not plain text. This is a plain text mailing list, and the best-case scenario when you let your email program send HTML is that what you saw is not what we see (worst case is your email is scrambled on our end). Have you read the

Hi, I am extracting positions data from the marine traffic website. The table has a "Timestamp" column which, in the browser, appears with the format yyyy-mm-dd HH:MM (UTC), e.g. 2017-07-10 14:04 (UTC). When I import the table, the same date "2017-07-10 14:04 (UTC)" appears as "1499696500149969650021 minutes ago", This is the more recent date and time. Older

I am interested in analyzing the bytecode code produced for C files. By default, inlining of user and library functions (libc) is done. If I turn off inlining (-disable-inlining in gccas and gccld) then no inlining is done. I want to be able to inline user code but disallow library code to be inlined. In trying to understand the InlineSimple.cpp code, I see that library functions are

Hi all, This is probably a very simple question but I cannot figure out how to do it. I run the fourthcorner method with my data and would like to adjust the p values for multiple comparisons using Holm correction. When I run the fourthcorner I obtain the results in yellow. What do I need to do to be able to aply the Holm correction to those p values? > library(ade4) > four1 <-

Hello Team, IVR selection of QUEUEMETRICS As we know queuemetrics had an IVR selection functionality where it can get the IVR keypress of a caller. We saw this link http://forum.queuemetrics.com/index.php?action=printpage;topic=503.0 and upon checking, its only determined the Queue, I want to get is the per IVR of a caller. Can you help me guys regarding this? I want to implement this with

Dear all, I've just downloaded R.12.0 from CRAN (http://cran.r-project.org/bin/windows/base/release.htm). I am unable to find RGUI.exe as well as Rterm.exe. Conversely to what is explained in readme.R.2.12.0: There are two versions of the R executable in R-2.12.0\bin\i386 (32-bit) or R-2.12.0\bin\x64 (64-bit). I can't find directories i386 or x64 in R-2.12.0\bin -- Renaud Lancelot EDEN

Good morning all, I'm trying to find the package "packfor" to install on my library in R, but I'm not available to find it online, so I would ask to you if you please let e know how I could find it and if I need a special R version to do it. Thanks a lot Regards Cristina [[alternative HTML version deleted]]