similar to: robust updating methods

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 15-03-23 12:55 PM, Thierry Onkelinx wrote: > Dear Ben, > > Last week I was struggling with incorporating lme4 into a package. > I traced the problem and made a reproducible example ( > https://github.com/ThierryO/testlme4). It looks very simular to > the problem you describe. > > The 'tests' directory contains

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 [Sorry to those who don't like it for top-posting] Thierry, I'm curious whether this addresses your problem (although we don't have a hard timetable for the next release [it has to avoid conflicts with the 3.2.0 release in 2.5 weeks at the very least], so this might be problematic if your package needs to depend on it). I'm

Dear Ben, Last week I was struggling with incorporating lme4 into a package. I traced the problem and made a reproducible example ( https://github.com/ThierryO/testlme4). It looks very simular to the problem you describe. The 'tests' directory contains the reproducible examples. confint() of a model as returned by a function fails. It even fails when I try to calculate the confint()

Dear R experts. I might be missing something obvious. I have been trying to fix this problem for some weeks. Please help. #data ped <- c(rep(1, 4), rep(2, 3), rep(3, 3)) y <- rnorm(10, 8, 2) # variable set 1 M1a <- sample (c(1, 2,3), 10, replace= T) M1b <- sample (c(1, 2,3), 10, replace= T) M1aP1 <- sample (c(1, 2,3), 10, replace= T) M1bP2 <- sample (c(1, 2,3), 10, replace= T)

Sorry I had typo in previous email, this typo corrected version: Dear R experts I have simple question, please execuse me: #example data, the real data consists of 20000 pairs of variables K1 <- c(1,2,1, 1, 1,1); K2 <- c(1, 1,2,2, 1,2); K3 <- c(3, 1, 3, 3, 1, 3) M1a <- rep( K1, 100); M1b <- rep(K2, 100) M2a <- rep(K1, 100); M2b <- rep(K1, 100) M3a <- rep(K1, 100); M3b

I am experiencing some problems at working with lists at high level. In the following "coef" contains the original DWT coefficients organized in a list. Thorugh applying the following two commands: coef.abs <- lapply(unlist(coef,recursive=FALSE,use.names =TRUE),abs) coef.abs.sorted <- sort(unlist(coef.abs),decreasing=TRUE) I get vector "coef.abs.sorted" containing

Dear list, Given a linear mixed model (from lme4) I want to 1) first change the input dataset and then 2) change the model formula. I want this to happen in a function call; Please see below. Options 1) and 2) below work whereas 3) fails with the message > foo() Error in is.data.frame(data) : object 'beets2' not found Question: What is it one must to in case 3) to have R look

System: Cenots Linux 6.9 Application: nut-2.7.5-0.20170613gitb1314c6 [with usb 0.1 from distro] Device: Mustek PowerMust 1060 LCD Comunication log file: dump.txt We are looking at the possibility of successful communicating with this device UPS Mustek PowerMust 1060 LCD. PS: wolfy on the list gives me assistance and i can install any new compiled nut version from sources. Thanks, Catalin.

Sounds like some other program is holding the port. Have you stopped other NUT drivers for the device (e.g. via auto-resuscitating services) before starting this one? Does udev, ugen or similar facility have the configuration to hand off this device to NUT run-time user? (BTW, if you are now testing a custom build - was it configured to use same accounts as pre-packaged variant)? On Fri, Mar 24,

Hi tl;dr: Seems that for Global ACL directory, namespace prefix is not part of the path, when looking for acl file. Long version: We're planning to update dovecot in next os update to 2.2.36 and while going through regression testing, we found a problem with ACL configuration combined with namespace. Test uses "Global ACL directory" configuration. Relevant configuration part:

Dear R-list members, I've had a hard time trying to solve a non-linear system (nls) of equations which structure for the equation i, i=1,...,4, is as follows: f_i(d_1,d_2,d_3,d_4)-k_i(l,m,s) = 0 (1) In the expression above, both f_i and k_i are known functions and l, m and s are known constants. I would like to estimate the vector d=(d_1,d_2,d_3,d_4) which is solution

Sorry, we have not yet been able to look into this.. It's now in our internal system as DOP-966 Aki > On 7 March 2019 17:31 Michal Hlavinka via dovecot <dovecot at dovecot.org> wrote: > > > Hi, > any progress with this issue? Do you need more information to debug and > fix this? > > Cheers > Michal Hlavinka > > On 9/18/18 4:10 PM, Michal Hlavinka

I'm running samba 2.0.5a on a Sun Sparc 5 with Solaris 2.6 and trying to use smbclient to copy an entire directory tree to a Windows NT 4.0 box. I'm using the recurse command and can create first level directories but I am unable to create new subdirectories in any of them. For example I created the following directory structure on the Sun: 1 % ls -R .: d1/ d2/ ./d1: f11 f12

The "unknown" fields mean the driver did not get that piece of information from libusb. In case of Manufacturer/Product which are unknown in the later post, but known in the first, I suppose you had another driver running, or the kernel still owned it (udev misbehavior, not handing it off after reconnections, etc.) and so exclusive access was not given to the new (currently reporting)

Thanks Larry, I tried. Got the following traces and the driver doesn?t start. 1.036797 [D2] - VendorID: 0463 1.036812 [D2] - ProductID: ffff 1.036826 [D2] - Manufacturer: unknown 1.036840 [D2] - Product: unknown 1.036872 [D2] - Serial Number: unknown 1.036912 [D2] - Bus: 002 1.036942 [D2] - Device: unknown 1.036965 [D2] - Device

Hi NUT Users, One of my APC UPS is having battery issue and apparently we cannot change battery in that UPS. (not super green?) I have purchased an EATON UPS and added the ref in ups.conf When restarting the driver, I got this error > 0.030612 [D2] Checking device 2 of 10 (0463/FFFF) > 0.287659 [D2] - VendorID: 0463 > 0.287853 [D2] - ProductID: ffff >

Hello R-Community, I have the following matching problem: I have two data.frames, one with an observation every month (per company ID), and one with an observation every quarter (per company ID; note that quarter means fiscal quarter; therefore 1Q = Jan, Feb, Mar is not necessarily correct and also, a fiscal quarter is not necessarily 3 month long). For every month and company, I want to get the

Hi, thanks for the answer. I think your environment was not set up correctly to reproduce this bug. I've retested with 2.3.5 and I can still reproduce it. I've attached a script that will configure everything for testing and if you have a virtual machine available, you can use it directly (it expects linux with systemd for dovecot restart). relevant section from config: namespace {

I'm trying to do the following: For each ordered pair of a data frame (D1) containing longitudes and latitudes and unique point IDs, calculate the distance to every point in another data frame (D2) also containing longitudes, latitudes and point IDs, and return to a new variable in D1 the point ID of the nearest element of D2. Dramatis personae (mostly self-explanatory): D1$long

I wonder if there is a more efficient way to do this task. Suppose I have two data frames, such as d1 <- data.frame(x = c(1,2,3), y = c(4,5,6), z = c(7,8,9)) d2 <- d1[, c('y', 'x')] The first dataframe d1 has more variables than d2 and the variable columns are in a different order. So, what I want to do is compare the two frames on the variables that are common between