similar to: estimating parameters of a model

I am experiencing a performance issue with MYOB accounting package being served from a Debian 2.4.18 based server running samba. Clients are Win2K/WinXP clients in a small workgroup environment, all maping drive to samba 'data' share. Network is pure TCP/IP, no other (MS or Samba) servers on LAN. I've experimented with Oplocks and veto oplocks but to no result the performance of

I have a TDM400P with one FXS and one FXO.. how many liscence(2) I will have to buy? Thanks

Hello, Would you please suggest me, where can I buy g723.1 liscence in cheap. I might need a liscence for 10-50 channels. Thanks,

Hi I m trying to join an ad as a dc following this https://wiki.samba.org/index.php/Check_and_fix_DNS_entries_on_DC_joins But i do samba-tool dns add EPSILUM _msdcs.myos.local d4aBdfb0-8937-465a-af2d-d657fgh145ee CNAME smb4.myos.local If have got ERROR(runtime): uncaught exception - (9601, 'WERR_DNS_ERROR_ZONE_DOES_NOT_EXIST') ‎ File

Le 09/07/2015 18:20, Rowland Penny a écrit : > On 09/07/15 17:06, zorg wrote: >> But If i want my samba4 to be dns after when i ll decide to stop the >> other dc >> >> can't i keep the to dns >> >> Could you explain a bit >> >> >> >> Le 09/07/2015 17:55, Marc Muehlfeld a écrit : >>> Hello, >>> >>> Am

But If i want my samba4 to be dns after when i ll decide to stop the other dc can't i keep the to dns Could you explain a bit Le 09/07/2015 17:55, Marc Muehlfeld a écrit : > Hello, > > Am 09.07.2015 um 17:04 schrieb zorg: >> following this >> https://wiki.samba.org/index.php/Check_and_fix_DNS_entries_on_DC_joins >> >> But i do >> samba-tool dns add

Hello, I''ve done potencial replacement for RoR''s routing mechanism. It just works as an independent class so you can try bundled examples withou installing anything else. I didn''t integrated it into Rails (as a plugin?) because I don''t know if anyone would appreciate it etc. SiteMapper features: -------------------- 1. uses regexp mask to get variables from

Hello list! I have a problem with the function 'persp'. I have a data set with the variables X -> The X coordenate of the insect Y -> The Y coordenate of the insect deep-> how deep the insect buried into the soil. I would like to have a plot with a surface simulating the way the insect buried. Is it possible? If I type persp(x,y,deep) R gives me this error message Error in

I have written a function that goes through a database and calculates various metric scores and allocates them to a data set. For 400 of the 500 sites that I calculate these metrics for works fine and allocates the scores into the appropriate column. For some reason, some sites I run into the below problem: Here is what I am doing: > names(orig.metric) [1] "BenInsect"

Dear R users, x-values (EI) = Adw, EG1, LA1, Ad1, LA2, LA3...(14 levels, insect stages) y-valus = antpop within the boxplot function x-values are ordered alphabetically Idea: x-values ranked by list order (insect stage: Egg stage 1 is followed by Larvae 1 and not by Egg stage 2 as it would be in an alphabetically order) Problems with the order(tapply()) function: variable lengths

Dear List I am new to R and to the list and will try best as I can be clear and concise. My apologies if anything I write contravenes the posting code on this list. I would also like to say I have run through most of the material on the R website before writing this email however, I am stuck. Here is what I want to do and what I have done 1. Read a comma seperated text file into R I have used

Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual

Dear all, I'm trying reproduce an example of bioassays Yielding Concentration-Mortality Data particularly control - adjustment model from book Bioassay of Entomopathogenic Microbes and Nematodes chapter 7 with R. I used glm with family=binomial and link=probit, but I do not know how to implement parameter gamma (control mortality - mortality of the untreated control insect in this exaple)

I'm trying to make a glmm to identify the relationship between insect species richness with fragment size, isolation and time (different years). I already tried to analyse it using poisson distribution error, but I always face with the following warning: *glm.fit: fitted probabilities numerically 0 or 1 occurred * This is probably hapenning because my dataset has a lot of zeros. So, what

I have insect data from twelve sites and like most environmental data it is non-normal mostly. I would like to preform an anova and a means seperation like tukey's HSD in a nonparametric sense (on some sort of central tendency measure - median?). I am searching around at this time on the internet. Any suggestions, books, etc. would be greatly appreciated. -- Stephen Sefick Research

I am trying to apply this technique (M.J Anderson 2001) to a dataset of aquatic insect abundances. There is a sample in the unrestored and restored segement of a stream for every time period. I would like to compare the centroids of the distance matrices for the treatments up (unrestored) and dn (restored) to see if there is a difference in insect communities between the treatments. I will not

Hello, For insect mortality data I'm trying to get an R script that will take the data from the raw form and convert it to Lx (% survival) for a number of treatments. The raw data has the number of days lived for each individual for the respective treatment. Thus, for example, when R selects the data for a single treatment I end up with the following vectors: >day=seq(from=0,to=6)

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")

Hi, I'm a PhD student and I want to use the function 'daisy' from the package 'cluster' to compute dissimilarities. My variables are of mixed types so I use the argument 'stand' in daisy to define the type of my variables. I have the following error message : Warning message: binary variable(s) 13, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

Dear R users aim Barplot of insect trap catches (y variable trapcatch) at one specific station (variable FiBL_Hecke) from week 1-52 ( x variable week). It works well using the function tapply (sum trapcatch per week, males and females not separated), however, I intend to separate the y variable trapcatch in males and females (variable m_w: m and w) problem I used the function "add" to