similar to: unrooted tree and margins, ape package

Hello Folks, I have 5 columns for thousands of tree records that record whether that tree was alive or dead. I want to recode the columns such that the cell reads "found" when a live tree is first observed, "alive" for when a tree is found alive and is not just found, and "mort" when it was previously alive but is now dead. Given the following: > tree_live

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

Hello, The following code does'nt work for me. The last command reports an error. I have created a consensus tree using the consensus comand from phylo but cannot manipulate the phylo object afterwards to create a dendogram , by transforming the phylo object into a hclust object and then into a dendogram ?? Thanks for any help library(ade4) library(cluster) library(stats) library(ape)

That is perfectly true. I had a beautiful bug in the code .... Switching from python to C have some weird side-effect. Indenting is not enough, brackets are required.... So I pushed https://github.com/ErwanAliasr1/syslinux/commit/5a122d218553a6d4019273653ba9fad66d6ae79e with the fix. I tested it on my multi-disk system with success. I also changed the name of the function. 2016-07-17 8:21

Dear R-users, I would like to know how could I read a file with different lines lengths. I need read this file and create an output to feed my database. So after reading I'll need create an output like this "INSERT INTO TEMP (DATA,STATION,VAR1,VAR2) VALUES (20100910,837460, 39,390)" I mean, each line should be read. But I don`t how to do this when these lines have different

> > As opposed to "label", > "dlabel" ... > https://github.com/ErwanAliasr1/syslinux/commit/ebf8cbf > > SeaBIOS / GRUB2 > > ... > ... > <target dev='vdc' bus='virtio'/> > <boot order='3'/> > ... > ... > <target dev='vdd' bus='virtio'/>

>From actual real-world readings, I have two vectors: x<- c(-100.4, 32.0, 99.8, 200.2, 300.6, 399.8, 500.0, 600.0, 699.6, 799.6, 899.8) y<- c(0.4, 0.0, 0.2, -0.2, -0.6, 0.2, 0.0, 0.0, 0.4, 0.4, 0.2) which, in the usual way constitute a continuous piecewise function. What I want to do is find an easy method to get at f(x) for some x I have NOT specified in the above vector. For

i login with nuroot user id and want to run a process(like listen port under 1024) which only root priority allowed,what can i do(set_uid can't do this). thanks for any help!

The idea is to boot a disk in an mbr fashion while using the GPT (not filesystem) label to detect the disk. That is useful when you use grub2 & gpt. I was in case where my nodes (100s) have 8 disks each and no guarantee of which disk is "bootable" in the disk. This way I can tell "please boot the disk that have one partition labelled "xyz"". So nothing related

Hi see in line > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Courtney > Benjamin > Sent: Thursday, August 10, 2017 5:55 AM > To: r-help at r-project.org > Subject: [R] Creating New Variable Using Ifelse > > Hello R Help List, > > I am an R novice and trying to use the ifelse function to create a new binary >

Hello, I am trying to get the 'rank' function to work for me, but not sure what I am doing wrong. Please help. I ran the following commands: data = read.table("test1.csv", head=T, as.is=T, na.string=".", row.nam=NULL) X1 = as.factor(data[[3]]) X2 = as.factor(data[[4]]) X3 = as.factor(data[[5]]) Y = data[[2]] model = lm(Y ~ X1*X2*X3, na.action = na.exclude) fmodel =

Hello everyone, I am not sure if this should go on the general R mailing list (for example, if there is a text mining solution that might work here) or the bioconductor mailing list (since I wasn't able to find a solution to my question on searching their lists) - so this time I tried both, and in the future I'll know better (in case it should go to only one of the two). The task

> On 30.06.2016 19:41, Erwan Velu via Syslinux wrote: > > The exisiting label= option offer to boot on a gpt partition that have > > a particular label. > > The existing guuid= option offer to boot on a disk or partition with a > > particular label. > > > > This new option offer to boot the disk that have a partition which > > have a given label. >

Greetings - Ok, I have my CentOS 7 KVM host system installed and I want to be able to boot the system from either installed drive if one of them fails. My objective is to have the following layout for the two 3 TB disks. sda1 /boot/efi sda2 /boot sda3 RAID1 with sdb3 sdb1 /boot/efi sdb2 /boot sdb3 RAID1 with sda3 The system is installed and boots from sda[1,2] and md127 (sda3 and

I have a set of data in the form x1, y1, z1 x1, y2, z2 ... x1, yN, zN x2, y1, z(N+1) x2, y2, z(N+2) ... x2, yN, z(2N) ...and so on... xM, yN, val(M*N) I have been trying to figure out how to get R to use this data in a persp plot. So far the only thing that I can figure out to do is to break the data file into three different files. The first file contains the x-coordinate data: x1 x2

On 16.07.2016 10:39, Erwan Velu wrote: > The idea is to boot a disk in an mbr fashion while using the GPT (not > filesystem) label to detect the disk. > > That is useful when you use grub2 & gpt. I was in case where my nodes > (100s) have 8 disks each and no guarantee of which disk is "bootable" in > the disk. > > This way I can tell "please boot the

Dear experienced R-users, I am having some probably trivial trouble estimating the confidence interval for the difference of two group means, with groups been of unequal sample size. I am using the "Bootstrap" package and the function "bcanon"(bcanon(x, nboot, theta, ...,alpha=c(0.025, 0.05, 0.1, 0.16, 0.84, 0.9, 0.95, 0.975)) for Nonparametric BCa confidence limits. The

Hi all! I'm wondering if there's anyone doing any hacking on the snmp-ups driver at the moment. I've started looking at implementing 3phase-support, and this uncovered some rather unpleasant stuff in the snmp-ups driver that I really need to fix in order to get things sane. Those of you that's allergic to SNMP might want to stop reading now, this is rather icky ;)

https://github.com/ErwanAliasr1/syslinux/commit/6993cc151a67f68673bf58372870b301a3d1022a sorry. 2016-07-28 15:52 GMT+02:00 Erwan Velu <erwanaliasr1 at gmail.com>: > That is perfectly true. I had a beautiful bug in the code .... Switching > from python to C have some weird side-effect. Indenting is not enough, > brackets are required.... > > So I pushed >