similar to: Switch from Red Hat 7 Beta to CentOS

Hi there, I've a laptop with CentOS 8 and a PC with CentOS 7. After 3 years of break I was Scuba Diving last 3 weeks. Back at home I wish to download all dive logs from my divecomputer connext via IrDA to my PC. But no kernel modul for IrDA was found. [root at rechner1 ~]# modprobe ircomm modprobe: FATAL: Module ircomm not found in directory /lib/modules/4.18.0-147.6.el8.x86_64 [root at

Hi there, I've installed a new KVM-Server. The routing in all instances are only working after "arp -s ip_of_router mac_of_router" Server: CentOS7, KVM Clients: CentOS6 and Fedora 21 What going wrong? [root at bgstkvmlr01 ~]# ifconfig bond0: flags=5187<UP,BROADCAST,RUNNING,MASTER,MULTICAST> mtu 1500 inet6 fe80::3ed9:2bff:fe0b:c706 prefixlen 64 scopeid

Hi there, I can't boot my new Laptop (HP Elitebook 840 G) with CentOS-7-x86_64-LiveKDE-1804.iso. Boot proccess stops very quick with kernel panic. Is there a ISO-Image with more recent kernel, maybe 4.17 from elrepo? Mit freundlichen Gr??en / Kind regards Andreas Reschke

Sadly the latest optimization broke completely everything. The asm code isn't gas compliant. the libFLAC linker script has a typo, disabling the asm optimization and/or altivec won't let a correct build anyway. Instant fixes for the asm stuff: sed -i -e"s:;:\#:" on the lpc_asm.s to load address instead of addis+ori you could use lis and la and PLEASE use the @l(register)

Hi all, I want to make all possible combination from dataset below: V1 <- c(0,1,2) V2 <- c(0,1) V3 <- c(0,1) V4 <- c(0,1) V5 <- c(0,1) V6 <- c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20) V7 <- c(0,1,2,3,4,5,6) V8 <- c(0,1) V9 <- c(0,1) V10 <- c(0,1) V11 <- c(0,1) V12 <- c(0,1) V13 <- c(0,1) V14

I'm trying to apply a function defined in the VW R docs, that attemps to convert a data.table object to Vowpal Wabbit format. In the process i'm getting the error in printf mentioned in the subject. The original function is here: https://github.com/JohnLangford/vowpal_wabbit/blob/master/R/dt2vw.R Below there is a small example that reproduces the error. The function works great with

Hi all, I have some trouble reading data from a csv file. I used command "read.delim("clipboard") to read in the data. > aalpha.data <- read.delim("clipboard") > class(aalpha.data) [1] "data.frame" > dim(aalpha.data) [1] 8 25 > colnames(aalpha.data) [1] "X" "V1" "V2" "V3" "V4"

Hi, I'm having a problem using sample() within a function. Basically I get an error reading: Error in sample(v, 1, prob = h) : non-positive probability Can anyone advise me as to the possible origin of this error? Here is my code #Discretised Gillespie algorithm function (From SMfSB, D.J. Wilkinson) gillespied=function (N, T=100, dt=1, ...) { tt=0 n=T%/%dt x=N$M

Hi. I have a simple (I think) question My dataset have these variables: names(data) [1] "v1" "v2" "v3" "v4" "v5" "v6" "v7" "v8" "v9" "v10" "v11" "v12" "v13" "v14" "v15" "v16" "v17"

On Tue, Oct 29, 2019 at 4:09 AM <andreas.reschke at mahle.com> wrote: > > Hi there, > I've a laptop with CentOS 8 and a PC with CentOS 7. After 3 years of break > I was Scuba Diving last 3 weeks. Back at home I wish to download all dive > logs from my divecomputer connext via IrDA to my PC. > > But no kernel modul for IrDA was found. > > [root at rechner1 ~]#

Wouldn't it make sense to have this in the man page? The 8192-byte limitation for 'fmt' is mentioned but not this one. Thanks, H. On 08/25/2015 02:08 AM, Prof Brian Ripley wrote: > From the sources: > > #define MAXNARGS 100 > /* ^^^ not entirely arbitrary, but strongly linked to > allowing %$1 to %$99 !*/ > > > > On 22/08/2015 04:21, Martin

Hi, I'm analyzing a large number of large simulation datasets, and I've isolated one of the bottlenecks. Any help in speeding it up would be appreciated. `dat` is a dataframe of samples from a regular grid. The first two columns are the spatial coordinates of the samples, the remaining 20 columns are the abundances of species in each cell. I need to calculate the species richness in

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Dear All I want to chose just spacial columns in R. (read table) data1<- read.table("/home/Documents/data.txt",header=F,sep = "\t", as.is =F) data.2<-data1[sub.data[,1],] The dimension of data.2 is correct but my data are transformed NA head(data.2) V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 NA <NA> NA NA NA

Hello, I am trying to select the following headers from a data frame but when I try and run the command it executes halfway through and give me an error at V188 and V359. Temp <- data.frame(V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45,

Hello all, how do I import a Fortran file (f3.1) into one column in R? I've tried this (I'm a total beginner as you can see): > FortranData<-read.fwf("C:\\Users\\format3_1.txt",rep(3,20)) Warning message: In readLines(file, n = thisblock) : incomplete final line found on 'C:\Users\format3_1.txt' > FortranData V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12

Hi All I was wondering how to get the same results with gls and lme. In my lme, the design matrix for the random effects is (should be) a identity matrix and therefore G should add up with R to produce the R matrix that gls would report (V=ZGZ'+R). Added complexity is that I have 3 levels, so I have R, G and say H (V=WHW'+ZGZ'+R). The lme is giving me the correct results, I am

Hello R I can not figure out, how to add text string or number to lines like on this image: http://r.789695.n4.nabble.com/file/n3350452/graph.png I have some data series in text file. My script: require(graphics) require(stats) graf=read.table("file",header =FALSE,sep = "", dec = ",",fileEncoding = "", encoding = "unknown", skip=19,nrows=400)

Hello, I've on my home PC CentOS 6 and Fedora 13 on different disks. When I log on the gnome enviroment at Fedora knows exactly which programm was started at which desktop (for example: thunderbird on desktop 1, firefox on desktop 2, nautilus on desktop 3, ..). The same procedure on Centos takes all programs on the first desktop, so I must arrange the programs on the right desktop.

Dear R gurus, Thank you all for continuous support and guidance -- learning without you would not be efficient. I have a question regarding LD analysis and how to best code it up in R. I have a file of (V52 and 671 time points across all columns) and another file of phonetic features (each vowel is aligned with a distinct binary sequence, i.e. E 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0