similar to: sites and services and automatic creation of replication connections in NTDS Settings

Hello, I having trouble running the CAPdiscrim function located in biodiversityR. My data tables are as follows: community data frame (called "spdata") Species1... Speciesn site1.. site2.. siten with abundance data as values. Site names are row names. and environmental data (called "envdata") year elevation site1... site2... siten my command

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

Let''s say I have two different geographic sites. They are pretty much identical ie. each site has a machine called web1 which is a web server, etc. Except there are couple site-specific settings ie. outgoing DNS servers are different, SSL certs are different etc. On the puppetmaster I can put in a file called e.g. /etc/sideid which would uniquely identify a site ie. siteX or siteY.

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

Dear R-friends, Unfortunately the tables that I "past" on last email gone with bad visual structure. So I send it again. Sorry to do this so confuse. Miltinho ==== Table1 - Bird records State,SampleSite,Species,Bodysize SaoPaulo,Site1,Spp01,4.39 SaoPaulo,Site1,Spp04,4.05 SaoPaulo,Site1,Spp01,2.75 SaoPaulo,Site1,Spp02,8.18 SaoPaulo,Site1,Spp02,0.80

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

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

I'm designing a system where some but not all groups of users want to share a single mailbox, i.e the user will not have there own inbox. I think this is possible by setting up a user database that returns the same mail location and possible the same home directory. This sharing would only occur in a single domain. Example User Database UserID | home | mail all at site1.example.com |

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

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

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 <-

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

On 12/04/16 22:21, Jonathan Hunter wrote: > > > On 12 April 2016 at 07:31, Rowland penny <rpenny at samba.org > <mailto: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

I''d like to create a component that takes different actions based on the classes associated with the node using the component. Is this possible? Here''s what I''m thinking. node www01 { include webserver website { "site1.com": aliases => ["www.site1.com", "test.site1.com"], username => www0001 } } node www02 { include

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, I have a (relatively long) function script that generates a levelplot. I don't want to include all of the code, so I have attached in file "miniDataSet.csv" an example for the data set "miniDataSet" that is called below. The function works OK, except that when the variables in the "splitCol" column get very large (as they are in this data set I

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

Hello, I have two sites. Both the sites will require queues for their own reason, own campaigns, etc. Like site1 would handle product1, product2, product3, while site2 can do product4, but can also do customer support for product1 and if anything, can transfer to site1's product1 queue (usually via SIP) Also, a few of these queues will require AgentLogin() type logging in, and some

And for Ole, the OP, to solve its own failover issue: As there is 2 physical sites and only 2 DC. Let's say Site1 is 10.1.0.0/16 Site2 is 10.2.0.0/16 I would create 2 additional AD Sites : Site1 + Site2 To AD site "Site1" I would associate 10.1.0.0/16 and associate also DC1 To AD site "Site2" I would associate 10.2.0.0/16 and associate also DC2 To Default-First-Site-Name no