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g''day all, I need help with this please. I have a dataset of site names and years they were trapped in (a subset of it is bs, below) and a dataset of sites that actually caught animals (subsetted as brep, below). I need to add to brep, a row with a zero in the classcount column, for every year each site was trapped but caught nothing. so for Site 1, I need to add rows that say

Hello, I'm running a few tests here with two locations. site1: server-site1.gsg.local subnet 192.168.200.0/24 site2: server-site2.gsg.local subnet 192.168.190.0/24 both are connected via VPN. I migrated an samba3 domain at server-site1 it gets Default-First-Site-Name assigned. Then I joined the new samba4 domain withe server-site2. Both servers work and i can join and access them with

I am trying to use the function gl (generate levels), and would like to make levels with different number of replications. Does anyone know how to generate different number of replications in each level? Something like: [1] Site1 Site1 Site1 Site1 Site1 Site1 Site1 [8] Site2 Site2 Site2 Site2 Site2 Thanks in advance -- Rog?rio R. Silva MZUSP http://www.mz.usp.br Linux/Debian User # 354364

Dear R-experts, I have a table with following collumns: State, SamplePlot, Species and BodySize. I sampled bird species at 34 SamplePlots and 5 States (regions) monthly during two years. On each bird record I measured bodysize and identified the species. So I have many records of each species (about 150 species) at each SamplePlot and each Region (State). Now I would like bootstrap

hii guys i have some issue with dns in samba 4 i have install and setup 2 samba dc in different Site site2 dc joint to site1 dc, with internal dns topology : site1 --- openvpn server --- firewall --- wan --- openvpn client --- site2 192.168.1.0/24 192.168.2.0/24 in site1 i have some application let say email server: mail.local.lan > 192.168.1.2 web server : web.local.lan > 192.168.1.3

Hello, I'd like to transpose data to create an analysis-friendly dataframe. See below for an example, I was unable to use t(x) and I couldn't find a function with options like PROC TRANSPOSE in SAS. The ideal solution handles variable quantities of SITE - but beggars can't be choosers. :-) Thank you in advance, Mike ## INPUT DATA USER_ID<-c(1,1,1,2,2,2,3,3,4) SITE

I am attempting to join several dataframes that summarize sampling effort for different samples into one large data.frame/table. I have looked at the merge command, but have not been clever enough to figure out how to get it to do what I want. A simplified example of what I am trying to do: The dataframes I have look like this (they were generated using the table command) species1.effort

The combination of survfit, coxph, and factors is getting confused. It is not smart enough to match a new data frame that contains a numeric for sitenew to a fit that contained that variable as a factor. (Perhaps it should be smart enough to at least die gracefully -- but it's not). The simple solution is to not use factors. site1 <- 1*(coxsnps$sitenew==1) site2 <-

Dear all, I am trying to extract rows from a data.frame based on the rowSums != 0. I want to preserve rownames in the first column in the subset. Does anyone know how to extract all species that don't have rowSums equal to zero? Here it is: # dataset x <- data.frame( species=c("sp.1","sp.2","sp.3","sp.4"), site1=c(2,3,0,0), site2=c(0,0,0,0),

Hello all, here's a real-world example: I'm measuring a quantity (d) at five sites (site1 thru site5) on a silicon wafer. There is a clear site-dependence of the measured value. To find out if this is a measurement artifact I measured the wafer four times: twice in the normal position (posN), and twice rotated by 180 degrees (posR). My data looks like this (full, self-contained code at

Hello R list, I have a list of data frames, in the form (dump output for an example list follows message): $site1 year data 1 2000 0.03685042 2 2001 0.02583885 6 2005 0.02480015 7 2006 0.03458745 $site2 year data 1 2002 4.071134e-03 2 2003 -4.513524e-08 3 2004 8.336272e-08 4 2005 2.270803e-08 5 2006 1.263597e-02 6 2007 NaN I would like to plot each

Hello, How can I randomly sample individuals within a sites from a site (row) X species abundance (column) data frame or matrix? As an example, the matrix "abund2" made below. ##### (sorry, Im a newbie and this is the only way I know to get an example on here) abund1 <- c(150, 300, 0, 360, 150, 300, 0, 240, 150, 0, 60, 0, 150, 0, 540, 0, 0, 300, 0, 240, 300, 300,

Hi! I have this rule to allow incoming VNC connections to a host on my private LAN: DNAT net:$SITE1 loc:$JOHN tcp 5900:5910 This works perfectly the host can connect without problems. Would it be possible to link the internal host to an external ip? For example if Site1 would connect on the VNC port, all traffic gets forwarded to loc:$JOHN. But if net:$SITE2 connects

Hello, I'm using the rmeta package to perform a meta analysis using summary statistics rather than raw data, and would like to analyze the effects in three different subgroups of my data. Furthermore, I'd like to plot this on one forest plot, with corresponding summary weighted averages of the effects displayed beneath each subgroup. I am able to generate the subgroup analyses by simply

Hello, Suppose I have a matrix a where a= sp1 sp2 sp3 sp4 sp5 sp6 site1 1 0 1 1 0 1 site2 1 0 1 1 0 1 site3 1 1 1 1 1 1 site4 0 1 1 1 0 1 site5 0 0 1 0 0 1 site6 0 0 1 0 1 0 And I want to pack that matrix so that the upper left corner contains most of the ones and the bottom right corner contains most of the zeros so that matrix b is b= sp3 sp6 sp4 sp1 sp2 sp5 site1 1 1 1 1 0 0 site2

The simplest would be to convert precip to character and then back to a factor if you really want it to be a factor. This will also remove the levels that no longer exist. str(dat) # 'data.frame': 5 obs. of 3 variables: # $ Sites : Factor w/ 5 levels "Site1","Site2",..: 1 2 3 4 5 # $ temp : num 14 15 12 12.5 17 # $ precip: Factor w/ 5 levels

Hi I have a simple hub and spoke topology where all my nodes connect to a central node. Below is tinc.conf for main node *tinc.conf* Name = main Interface = tun0 Forwarding = kernel and the remote nodes have same with ConnectTo = main. I have tried to apply a basic iptable policy on the main node but the traffic still seems to passthough and the nodes can communicate with each other. How do I

Dear all, how can I, with R, transform a presence-absence (0/1) matrix of species occurrences into a presence-only table (3 columns) with the names of the species (1st column), the lat information of the sites (2nd column) and the lon information of the sites (3rd column), as given in the below example? Thanks a lot for your help! Christian my dataframe: site lat lon spec1 spec2 spec3 spec4

On 12 April 2016 at 07:31, Rowland penny <rpenny at samba.org> wrote: > > The schema is in another NC, so use the 'cross-ncs' switch to see the > schema. Thanks Rowland - adding --cross-ncs worked and I can now see the schema extensions using ldbedit. I can confirm that my schema extensions are definitely present, including as mentioned in the record below, which I

Hello, i have question about samba3 migration. I have 2 distincts sites whith samba3 PDC+OpenLDAP running on each site. On Site1, the machines accounts are specifics, same for the Users and Groups except 1 group that is common with Site2 (The Teachers). Today, each site is independant, Now, i would like a create a new domain Samba4 AD whith all machines and users from site1 and site2 together.