search for: basinator

Hi all, I haven't been able to find how to assess a variable who's name is constructed with paste. The problem is following: In a data frame, there are 12 columns whose title vary only by a digit, all other part being equal. I would like to compute a operation on a subset these variables and parse them in turn. the data frame "basin.param" contains columns called ratio1,

Dear all, I wonder if anyone can help me with specifying a right model for my analysis. I am a beginner to lme methods. I was unfortunately not able to find a solution to my problem on my own. Data structure: I have sampled monthly 6 basins during two hydrological cycles, and I have taken several (2 to 4) samples (“replicate”) for each basin and month. I’m trying to relate Shannon diversity

I am new to the R language. I am trying to plot multiple figures on one page through a loop, but the code just produce one graph on one page. Can someone show some light on what's wrong? Here is my code: library("quantreg") tcdata<-read.table("mydata.txt",header=TRUE) postscript("myfigure.ps") basins<-

One of many scripts to produce 4 lattice plots on one page keeps throwing an error. I've tried manipulating the file to eliminate the error, but have not been able to do so. The error is: > source('bicarb.R') Error in source("bicarb.R") : bicarb.R:15:1: unexpected symbol 14: 15: hco33 ^ The 'h' is in column 0 so the caret would be column -1, but it's

I'm attempting to run 250 permutations of a negative binomial GLM model for data on fish counts. Many of the models are fit appropriately, but some issue warnings such as "convergence not reached" or "step size truncated due to divergence." I've attempted using glm.nb from the MASS package and the negbin function from the AOD package, but both still cause some models to

Can anyone help me? I''m having problems with the following code where I want to test the null hypothesis that regression slopes are the same among regressions. Here''s the code I''ve written with comments that include the final error I get. ... initial.dir <- getwd() library(systemfit) library(multcomp) basdata <- read.table("data_into7_test.txt",

Dear R users, It is a pleasure for me to announce the availability of the new package kwb.hantush (0.2.1)? on CRAN. Its objective is the calculation of groundwater mounding beneath an (stormwater) infiltration basin by solving the Hantush (1967) equation. For checking the correct implementation of the algorithm the R modelling results were cross-checked against alternative models assessed in

Dear R users, It is a pleasure for me to announce the availability of the new package kwb.hantush (0.2.1)? on CRAN. Its objective is the calculation of groundwater mounding beneath an (stormwater) infiltration basin by solving the Hantush (1967) equation. For checking the correct implementation of the algorithm the R modelling results were cross-checked against alternative models assessed in

I have tried glm.nb in the MASS package, but many models (I have 250 models with different combinations of predictors for fish counts data) either fail to converge or even diverge. I'm attempting to use the negbin function in the AOD package, but am unsure what to use for the "random" term, which is supposed to provide a right hand formula for the overdispersion parameter.

I'm not sure I'm barking up the right tree here, but would I need to make use of groups to plot two separate datasets within ONE panel in xyplot? The desired end result is a single xy plot of two separate (but similar in values and ranges). Full code follows, xyplot code at bottom #########Determine Frequencies ##########coastal_slope #needs the maptools package to read ESRI grid

Is there any way to run an R script without running R? As an example, suppose I have a tcl/tk interface that asks for a number (in a GUI) and displays its factorial. Is there a way to invoke this script without invoking R? I'm using R 2.4.1 in GNU/Linux Fedora Core 4. Alberto Monteiro

Yes, I parse the RTP header, decrypt the payload and then feed the decrypted data to opus. Besides, opus_decoder_get_nb_samples() on 1st packet returns reasonable number 960, but then opus_decode() fails. On Fri, Nov 29, 2013 at 11:39 PM, Jean-Marc Valin <jmvalin at jmvalin.ca>wrote: > On 29/11/13 01:49 PM, Ilya Basin wrote: > > For example, the RTP payload is decrypted

On 29/11/13 01:49 PM, Ilya Basin wrote: > For example, the RTP payload is decrypted successfully, but > opus_packet_get_nb_samples() or opus_decode() return > OPUS_INVALID_PACKET. Are you sure you didn't forget to strip the RTP header before decoding it? Jean-Marc

Huhu, I installed MS Freelancer via PlayOnLinux, but I have some graphics lags ingame/the game was redicoulus slow, I also wasn't really able to start a new game since the game hang up (kinda. It just didn't wanted to finish loading) One idea of me would be that it still runs in DX mode, how can I change it to OpenGL? On a side note, I have enough ressources to run the game at windows.

Dear R users, I am sorry to ask you such a pathetic newbie question, but how does one append data at the end of a data frame? I am working with GRASS/R library, but the question is about R. I have a data.frame containing the following variables basinID, distoutlet, drainage_area, slope These variables are stored for all pixels of Grass Raster objects. For each drainage basin (basinID), I'd

I am having trouble figuring out the right form for the nlme arguments. I do have examples in Modern and Applied Statistics with S and from other sources, but I still can't figure it out. I am trying to estimate species richness (sr) in streams across minnesota. My predictor variables are depth (d), habitat diversity (habdiv), drainage area (da) and an indicator variable representing the

I am trying to compile the r.stream* set of addons. Ubuntu 9.10 64 bit I have installed the grass packages from the repositories I have also compiled grass 6.5 from source. I have taken the r.stream* from the addons svn and placed the sources in the grass source tree - in the raster file I run make distclean then navigate to the raster/r.stream* file run make and get this error message:

Hi. I made a webrtc relay with recording and dumped the SDP requests and RTP packets into files. Then I made a java decoder based on jitsi. Although the files contain all the needed info: encription keys, codec info, timestamps, etc., I could only decode one side in one of 2 conversations. For example, the RTP payload is decrypted successfully, but opus_packet_get_nb_samples() or opus_decode()

On the call where even opus_decoder_get_nb_samples() fails, what's the value of the first two bytes of the buffer you're sending? And what's the length of the buffer? Jean-Marc On 11/29/2013 03:31 PM, Ilya Basin wrote: > Yes, I parse the RTP header, decrypt the payload and then feed the > decrypted data to opus. Besides, opus_decoder_get_nb_samples() on 1st > packet returns

Hello, Help!! I'm struggling with ldapsam. I'm trying to configure Samba to use our LDAP directory (Sun's directory server) for the storage of Samba user accounts. It already stores our unix system accounts. I have successfully imported the schema file into our directory server and have compiled samba with the "--prefix=/opt/btifs/samba --with-ldapsam" options. I