similar to: Logging only files transferred not directories

Dear guRus: I am using lmer for a mixed model that includes a random intercept for a set of effects that have the same distribution, Normal(0, sig2b). This set of effects is of variable size, so I am using an as.formula statement to create the formula for lmer. For example, if the set of random effects has dimension 8, then the lmer call is: Zs<-

I am trying to run a conintegration analysis. I am a former user of S-Plus and understand the output of the coint and VECM output, but I am having trouble understanding the equivalent output in R. Here is what I ran > coint=ca.jo(data,constant=T,K=2,spec="longrun") > summary(coint) The first portion of the output that I did not understand [,1] [,2] [,3] y1

Hi all, I am trying to run rejection sampling for the quantity z11 in the function below. Unfortunately I can't simplify the function further so that z11 only appears once. Whenever I run the algorithm, R looks as if it is running it (no error messages or anything), but then nothing happens for minutes...how long should it take to run something like this in R? I have tried in in both linux

Dear All, I am trying to perform MANOVA. I have table with 504 columns(species) and 36 rows) with two grouping (season and location) Zx <- Z[c(4:504)] Zxm <- as.matrix(Z) m<- manova(Zxm~Season*location, data=Z) when I do summary.aov, I get respond for each species but summary.manova summary.manova(m) :" residuals have rank" 24<501. What can it be the reason for this error

http://shorewall.net/pub/shorewall/2.2-Beta/shorewall-2.2.0-Beta8 ftp://shorewall.net/pub/shorewall/2.2-Beta/shorewall-2.2.0-Beta8 Problems Corrected: 1. A typo in the /etc/shorewall/interfaces file has been corrected. 2. Previously, the "add" and "delete" commands were generating incorrect policy matches when policy match support was available. New

Hello everyone, I have two data.frames that look like calib: place zoom scale left 0.65 8 left 0.80 5.6 left 1.20 3 right 0.65 8.4 right 0.80 6 right 1.20 2.9 X: ... place zoom .... ... left 0.80 .... ... left 1.20 .... ... right 0.65 .... ... NA NA .... ... right 0.8 .... ... left 1.20 .... and I want to get the corresponding values of 'scale' in a new column

Hello all, I have not been able to find an answer to this problem. I feel like it might be so simple though that it might not get a response. Suppose I have a dataframe like the one I have copied below (minus the 'calib' column). I wish to create a column like calib where I am subtracting the 'Count' when 'stain' is 'none' from all other 'Count' data for

If I source in the function (see below) calib(), I get: > source("papers/helle/threshold.r") > calib() Error in eval(expr, envir, enclos) : Object "energy" not found But if I cut and paste the code for calib() one line at a time into the R window it works fine. calib<-function() { contrast<-c(.01,.02,.0325,.055,.0775,.1,.125,.15,.175,.2)

Dear R-list, I?m trying to use the lmer of the lme4 package to fit a linear mixed model of the form Y = Xb + Zu + e and I can?t figure out how to control the covariance structure of u. I want u ~ N(0,sigma^2*I). More precisely I?m trying to smooth a curve through data using the "Penalized Splines as BLUPs" method as described in Ruppert, Wand & Carroll (2003). So I have Z = [Z1

I am trying to use rgenoud and snow with an external model and file I/O. Unlike the typical application of rgenoud and snow, I need to run an external executable and do pre- and post-processing of input and output files for each parameter set generated by genoud(). I'm hoping that someone can suggest improvements to my approach and a work-around for file I/O problems I've encountered when

Hello everyone, I have a function here that I wrote but doesn't seem to work quite right. Attached is the code. In the calib funcion under the for loop Bt[i+2]<-(1-m)*Bt[i+1]+Rt[i]*Rerr-Ct[i+1] returns NA's for everything after years 1983 and 1984. However the code works when it reads Bt[i+2]<-(1-m)*Bt[i+1]+Rt[i]*Rerr-Ct[i]. I don't quite understand why since it should be

Hello everyone, I have a function here that I wrote but doesn't seem to work quite right. Attached is the code. In the calib funcion under the for loop Bt[i+2]<-(1-m)*Bt[i+1]+Rt[i]*Rerr-Ct[i+1] returns NA's for everything after years 1983 and 1984. However the code works when it reads Bt[i+2]<-(1-m)*Bt[i+1]+Rt[i]*Rerr-Ct[i]. I don't quite understand why since it should be

I've "inherited" an old Lexmark Z11 and would like to plug it in to my CentOS 4 box as a second printer. I shut down, hooked it up to the parallel port, rebooted, and hwbrowser recognizes it on /dev/lp0, so I ran through setting it up as a queue with printconf-gui. However, printing the test page fails because the renderer "lz11.foomatic" is not found (details below for

Hi. I'm embarking on my first attempt at creating my own panel function for lattice graphics, and despite all of my online research and pouring through the documentation, I cannot figure out how to solve my particular problem. Hopefully, a generous fellow R user can help. I have some data that is split into two groups: some "actual" data, and some simulated data,

On 2016-11-09 09:52, W. de Hoog wrote: > Hi, > > A question. We are using fts_solr. When searching for content in BODY I > noticed that dovecot only supports full words. "BODY calibration" > returns results but "BODY calibra" does not. Nor "BODY calibra*". > > Solr does support searching with wildcards so why is it that dovecot > does not?

How to change the background in the plots The e.g. for which I am working is as follows, The R script is ################### start ####################################### amounts <- c(21790,5669,34921.17,60152.47,47228.61,16566.13,8283,3980,5445,1000,125 0,0,1285,1222,5001,600,1950,11580,7520,7999,4850,3850,16900,6095,0,4246, 8556,8280,3020,7250,0,8807,0) # histogram hist(amounts) #

HI, Dear R community, I have a large data set names dd.txt, the columns are: there are 2402 variables. a1, b1, ..z1, a11, b11, ...z11, a111, b111, ..z111.. IF I dont know the relative position of the columns, but I know I need the following variables: var<-c(a1, c1,a11,b11,f111) Can I use read.columns to read the data into R? I have tried the following codes, but it does not work

Dear all, I am stuck with a problem that might be trivial for most of you (and therefore is a bit embarrassing for me...): I want to calculate a generalized least squares regression using two time series (Y depending on X) with an autoregressive correlation structure of order two (the data along time are given below). I use 'gls' from package 'nlme': Calib.gls <- gls(Y~X,

Dear everyone, We're getting close to the 6.0.0 release, but the release notes are still in a pretty bad state. You can see the notes for rc2 here: http://prereleases.llvm.org/6.0.0/#rc2 (a few things have been added since). When the release happens, a lot of people will look at the notes, so it's a good opportunity to mention the work that's happened in the past six months. If you

https://bugzilla.mindrot.org/show_bug.cgi?id=2258 Bug ID: 2258 Summary: Add hint to IPv6 syntax Product: Portable OpenSSH Version: 6.6p1 Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: scp Assignee: unassigned-bugs at mindrot.org