similar to: Values are multiplied by 100x

Hi, beginning around 12th of october I have an "Segmentation fault" when starting wine. I'm using precompiled rpm's from wine.dataparty.no but also tried a self compiled version from the wine.dataparty.no cvs-source getting the same fault. At least one other user seams to have similar problems (discussion in the forums of wine.dataparty.no. He is using fedora while

Hi, Is there any way to put wine error in a log file? I run a program with WINEDEBUG=+relay,+ole,+variant,+typelib,+typelib2 but I can't copy and paste the message error because is too long. Best regards. -- Savio Martins Ramos - Arquiteto Rio de Janeiro ICQ 174972645 Pirataria n?o! Seja livre: Linux http://www.debian.org _______________________________________________________

Hi, I can't install Autocad14 more in release 0.9.54-1 (Debian Sid). The first error is: Any help? Thanks. $ WINEDEBUG=warn+all wine SETUP.EXE Invoking /usr/lib/wine/wine.bin SETUP.EXE ... warn:file:wine_nt_to_unix_file_name L"wineboot.exe" not found in /home/savio/.wine/dosdevices/c:/windows/system32 warn:ntdll:NtQueryFullAttributesFile

Dear list, this works fine: x <- split(iris, iris$Species) x1 <- lapply(x, function(L) transform(L, g = L[,1:4] * 3)) but I would like to multiply each Species with another factor: setosa by 2, versicolor by 3 and virginica by 4. I've tried mapply but without success. Any thoughts? Thanks for any idea! Patrick

Hi, I would like to estimate something like y = a + b*d2*y + c*d3*y where the dummies are created from some vector d with three (actually many more) levels using factor(). But either there is included the variable y or d1*y. How could I get rid of these? Example: x = c(1,2,3,4,5,6,7,8) y = c(3,6,2,8,7,6,2,4) d = c(1,1,1,2,3,2,3,3) fd = factor(d) lm(x ~ fd*y) gives: Coefficients: (Intercept)

Hi, I am trying to use htb to limit bandwidth on loopback for traffic through particular port. Here is the script I am using. tc qdisc add dev lo root handle 1: htb tc class add dev lo parent 1: classid 1:1 htb rate 100kbit ceil 100kbit tc class add dev lo parent 1:1 classid 1:10 htb rate 50kbit ceil 50kbit tc class add dev lo parent 1:1 classid 1:11 htb rate 50kbit ceil 50kbit tc filter add

Hi everyone, here's my problem: I have a fast server (dual Xeon E5-2620, 64 GB RAM) with a fast RAID array (24 disks, RAID-6, more than 2GB/s read/write local performance, XFS filesystem) and fast network : dual 10GigE (myri10g) and 40GigE (i40e). It's running Debian 8.11, tried various kernel versions (currently 4.4.x, but 4.9 isn't any better). It's slow as dead snails in

On Thu, 10 Aug 2017 19:21:53 +0200 Emmanuel Florac via samba <samba at lists.samba.org> wrote: > > Hi everyone, > > here's my problem: I have a fast server (dual Xeon E5-2620, 64 GB RAM) > with a fast RAID array (24 disks, RAID-6, more than 2GB/s read/write > local performance, XFS filesystem) and fast network : dual 10GigE > (myri10g) and 40GigE (i40e). >

Hello, I have another question.... I have a data frame that looks like this: a b 2007-03-31 "20070514" "20070410" 2007-06-30 "20070814" "20070709" 2007-09-30 "20071115" "20071009" 2007-12-31 "20080213" "20080109" 2008-03-31 "20080514" "20080407" 2008-06-30

Hello everybody, I''m playing with Xen and trying to extend DomU disk space. My Configuration: Dom0: all Xen machine are HVM. They''re installed on LVM. I''ve one VG (XEN) on Dom0 and created a LV (here, xps.101.disk) per DomU. disk configuration in xen conf is as follow: disk = [ ''phy:/dev/XEN/xps.%d.disk,ioemu:hda,w'' % (vmid)

Dear expe-R-ts, I try some test data for a factorAnalysis (resp. pca) in the sense of Prof. Ripley's MASS ? 11.1, p. 330 ff., just to prepare myself for an analysis of my own empirical data using R (instead of SPSS). 1. the data. ## The test data is (from the book of Backhaus et al.: Multivariate ## Analysemethoden. Springer 2000 [9th ed.], p. 300 ff):

Dear R-helpers, I am using a vrtest on time series data. My commands are as follows; read.table("B.txt",sep="\t",fill=TRUE, na.strings = "NA") require(vrtest) rm(list=ls(all=TRUE)) datamat <- read.table("B.txt",sep="\t",fill=TRUE, na.strings = "NA") column <- 1 nob <- nrow(datamat) y <-

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