similar to: Comment from a Samba user

Hola, tengo un servidor con samba, openldap y bind9 pero no puedo pinguear una maquina por el nombre, si por la ip. Esto me pasa en el servidor en los clientes no tengo problema puedo pinguear por la ip y por el nombre. En los clientes tengo seteada la ip de mi servidor wins y desde los clientes puedo pinguear el servidor. En smb.conf esta seteado wins support = yes. No entiendo porque el

Hello People, I do hope that this is not a really old problem that everyone is totally sick of hearing; it is a pain in the neck problem for me right now. I am just a Samba user. Help will be much appreciated 8-) I have been using Mandriva 2007 Linux and have installed Mandriva 2008; Samba has stopped working as described below. What is wrong? * The hardware is a local LAN controlled by an

Hi! I need to run a wilcoxon (Mann-whitly, in fact) test with bonferroni correction, as I am running 10 consecutive wilcoxon test not independent, and I know that bonferroni will partially correct for this problem, but I have no idea how to do it with R, I have been looking in the archive but couldn't understand how to do it. The format I am using at the moment is r4_o <- [1]

Dear all, a program that worked well for weeks today gave me consistently the error message no lines available in input referring to the lines for (i in (0:(timeintervals-1))) { j=subjectquantity+6+i*(subjectquantity+7) print (j) results<-read.table(file, header=F, skip=j, nrows=subjectquantity) timeintervals have been specified as argument as 12 subjectquantity as 9 the file it should

Does anyone on this list know of a reputable T1/PRI provider in St. Lucia? If so, what monthly costs am I looking at? I do know that Cable and Wireless are the biggest Telco. Steve -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20061130/68bb5e80/attachment.htm

Dear R users, I would like to combine lattice plot (xyplot) and standard R plot (plot and plotCI) in an unique figure. I use the function "par()" to combine plot and plotCI and I use the function "print()" to combine xyplot. I tried to use these functions to combine xyplot and plotCI and plots but they do not work. Does anybody know how I can do this? Thank you very much in

Hello, I'm very new to R, and so my question is simple. I have data record with 80 years of daily temperatures in one long string. The dates are also recorded, in YYMMDD format. I'd like to learn an elegant simple way to pull out the annual averages. (Obviously, every 4th year has 366 days.) I know I can set up a formal loop to create annual records and then average. But R

Hello, I'm an R newbie. I've tried to search, but my search skills don't seem up to finding what I need. (Maybe I don't know the correct terms?) I need the standard errors and not the confidence intervals from an ARIMA fit. I can get fits: > coef(test) ar1 ma1 intercept time(TempVector) - 1900

Hi, We are analizing the relationship between the abundance of groupers in line transects and some variables. We are using the quasipoisson distribution. Do we need to include the length of the transects as an offset if they all have the same length?? Also, can we include in the gam models variables that are measured at different spatial scales? We have done an analysis to see what variables

Hi everybody, I am working with gams and I have found some questions when plotting gams models. I am using mgcv, and my model looks something like this: model<- gam(x ~ s(lat,long)) I can plot the output of the model using plot(model) or plot.gam(model) and I get a surface plot. That is ok, but what I want to do now is to extract the data used to perform the surface plot. Like that I

Hello everyone, I have a data set like this: > head( fish_transect) ID_TRANSECT ID_PROJECT DE_ZONE DE_LOCALITY DE_SECTOR MES 1 42 MB Tarragona Creixell Control I 9 2 42 MB Tarragona Creixell Control I 9 3 42 MB Tarragona Creixell Control I 9 4 42 MB Tarragona Creixell Control I 9 5 42

Hi! I have some data that looks like this up down percentaje uew_21 20 14 58.82 uew_20_5 27 40 40.29 uew_20 8 13 38.09 uew_19_5 17 42 28.81 So I have 4 experimental conditions and I am counting number of animals in the up and down compartment and the calculating the percentage, I want to know which one of the conditions is different from each other. If the data wouldn't be percentage

Hi, I am using this loop par(mfrow=c(3,3)) annos<-c(2001:2007,2009) for (i in annos) { t<-subset(masia,YEAR==i) t$FAMILIA<-drop.levels(t$FAMILIA) pie(table(t$FAMILIA),main=i) } To make piecharts of species composition among years (my data frame is called "masia"). So I get 1 piechart of the families that we have found in our survey each year. We don't have always

Dear R users, I am completelly lost with the following: I have the following vectors a, b ,c, d and e + a [1] 279.3413 268.0450 266.3062 433.8438 305.4650 317.4712 288.3413 374.6950 > > b [1] 170.4500 254.5675 219.5762 232.3425 200.2738 238.2637 210.6062 262.4825 345.2387 269.3763 [11] 190.1225 259.7750 241.1350 265.8775 175.4162 206.4238 202.1738 151.1550 213.9900 225.5825 >

Are there any particular licences under which R packages must be released or is it the discretion of the author? The same question if the package is to be destined for CRAN? Kind regards, Nathan -- -------------------------------------------------------- Dr. Nathan S. Watson-Haigh OCE Post Doctoral Fellow CSIRO Livestock Industries Queensland Bioscience Precinct St Lucia, QLD 4067 Australia

Hello R users, I am working with the GAM to inspect the effect of some factors (year, area) and continuous variables (length, depth, latitude and longitude) on the intensity and prevalence of the common parasite Anisakis. I would like introduce interaction in my models, both "continuous variables-continuous variables" and "continuous variables-factor". I have read some

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I have a rectangular matrix of size 920 by 85. I'd like to coerce it into a square matrix such that all row/col names are present in the new matrix and the additional values are zero. As an example: A B C D A 1 2 3 4 E 5 6 7 8 F 9 10 11 12 Would be coerced to: A B C D E F A 1 2 3 4 5 9 B 2 0 0 0 6 10 C 3 0 0

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I'm generating a symmetric correlation matrix using a data matrix as input: mat <- cor(data.mat) My question is: Is there a more memory efficient way to store this data? For instance, since: all(mat == t(mat)) every value is duplicated, and I should be able to almost half the memory usage for large matrices. Any thoughts/comments? Cheers,

Hi, I am trying to parse a large amount of text using gregexpr(). Unfortunately, I get an "input buffer overflow" message when I attempt that with too large an amount of text. The error messages occurs before the parsing. The problem is that I cannot assign the text to a variable (an object) if the text is too large. This problem has been mentioned before, which I found using the

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I have the following data: > y [1] 0.000 0.004 0.008 0.016 0.024 0.032 0.044 0.064 0.072 0.088 0.108 0.140 [13] 0.156 0.180 0.208 0.236 0.264 0.296 0.320 0.360 0.408 0.444 0.472 0.524 [25] 0.576 > x [1] 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 [16] 1600 1700 1800 1900 2000 2100 2200 2300 2400 2500 I'd