similar to: AGI MySql

Dear All, I seem to have stumbled across an AGI problem; I have written an AGI Script (bottom of this email); The script does the following; Makes a CDR entry when called Records the call Updates the CDR Finds a corresponding DNIS from the SMDR table (captured via a serial port logger) Matches up the record and updates the CDR. The script works perfectly in my test lab and has been doing so

I've been using it in a test environment with no problems. However, I haven't used it in production yet. I'm doing some voice broadcasting with a PRI and so far I'm content with the performance. -MC -----Original Message----- From: asterisk-users-bounces@lists.digium.com [mailto:asterisk-users-bounces@lists.digium.com] On Behalf Of Akpome Akpoguma Sent: Friday, February 03,

I downloaded recordPad and recorded a wav file and tried playback on asterisk got the same error as before -- WARNING [1225991360] Format.wav.c:132 check_header:unexpected header size 18-- when I recorded in gsm format on my laptop asterisk did playback well I used sox to resample the recorded wav file on the asterisk machine into wav again and asterisk playback worked well. The sound

Hi,I have been using wav files with sample rate of 8khz and 8 bits and I find the sound quality really poor.What is the best sound quality I can achieve on Asterisk?Responses would be appreciated.Rgds,Akpome _________________________________________________________________ Express yourself instantly with MSN Messenger! Download today it's FREE!

I ran into a problem with "subset" while working at home that I am not sure is a bug or not. I defined a custom function to take a data frame of tree positions, sizes, and types (containing the columns TRT, COMP, PLOT, X, Y, DBH and CON) and wanted to make a stem map of the plot using different symbols and colors to represent the different types of tree stems. I copied a bit of the

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I've been trying to figure out how to prevent a column that is the result of an aggregate function call so that I can use it in further calculations. For example, I would like to aggregate the expf for the data.frame by sp (character) and dbh (double d=rounded to integer) using the command: > st2 <- aggregate( ntrs$expf, by=list(sp=ntrs$sp,dbh=ntrs$dbh), sum ) > st2$expf <- st2$x

Hi, I'm trying to plot an equation in two variables to get a feel for sensitivity to its parameters. I've run expand.grid to get made-up vectors of the combinations of the two independent variables, and am trying to plot the output of the dependent, M, against both the dependent in a 3d space. t <- 0:100 DBH <- 10:100 TxDBH<-expand.grid(t,DBH) time<-TxDBH[,1]

Dear R-help, Here's a simple example of nonlinear curve fitting where nls seems to get the answer wrong on a very simple exponential fit (my R version 2.7.2). Look at this code below for a very basic curve fit using nls to fit to (a) a logarithmic and (b) an exponential curve. I did the fits using self-start functions and I compared the results with a more simple fit using a straight lm()

Dear people of the help list I am drying to analyze my data using the 'lmer' function and I keep having problems. This is the model: > fm1<-lmer(dbh~spec+scheme+(1|Plot),data=d, REML=FALSE). I analyse tree size (dbh) of 3 different species (spec) and 3 planting schemes (scheme). I have 5 plots, which I hope to model as a random factor. (However, the subsequent output is based on

Now I have the forest plot data with x, y locations, and I measured the DBH for every indivicuals. The data looks like that: x=runif(100,0,100) y=runif(100,0,100) dbh=runif(100,1,100) rdata=data.frame(x,y,dbh) > rdata[1:5,] x y dbh 1 99.5354145 1.412844 34.10112 2 0.8259361 87.737036 39.12914 3 6.5678613 65.699032 22.55990 4 67.2987881 72.053877 45.83978 5 2.2491372

Hey, So I have a scatter plot and I am trying to plot a curve to fit the data based on a Holling Type III functional response. My function is this: nll2<-function(a,b) { conefun<-(a*DBH^2)/(b^2+DBH^2) nlls2<-dnbinom(x=cones ,size=DBH, mu=conefun,log=TRUE) -sum(nlls) } and my plot is this: plot (DBH,cones) DBH is on the x-axis and cones is on the y-axis. How do I get the curve

CentOS Errata and Bugfix Advisory 2005:1224-1 CentOS 4 i386 dbh - Bugfix Update (Extras Only) This CEBA is for the Extras repository only, and not for the main CentOS repository. ------------------- The following upstream changes have been rolled into dbh: * Thu Dec 22 2005 Kevin Fenzi <kevin@tummy.com> - 1:1.0.24-3.fc4 - Bump release to fix tagging issue * Thu Dec 22 2005 Kevin Fenzi

CentOS Errata and Bugfix Advisory 2005:1224-1 CentOS 4 x86_64 dbh - Bugfix Update (Extras Only) This CEBA is for the Extras repository only, and not for the main CentOS repository. ------------------- The following upstream changes have been rolled into dbh: * Thu Dec 22 2005 Kevin Fenzi <kevin@tummy.com> - 1:1.0.24-3.fc4 - Bump release to fix tagging issue * Thu Dec 22 2005 Kevin Fenzi

R gurus, I'm working on data analysis for a small project. My response variable is total vines per tree (median = 0, mean = 1.65, min = 0, max = 24). My predictors are two categorical variables (four sites and four species) and one continuous (tree diameter at breast height (DBH)). The main question I'm attempting to answer is whether or not the species identity of a tree has

Hi, I have a contact object . This contact has a address object >>Contact class Contact < ActiveRecord::Base has_one :address validates_presence_of :first_name ,:last_name end .>>> Address class Address < ActiveRecord::Base belongs_to :contact validates_presence_of :address end Addres has the following fields ; address, phone, fax, email In the contacts_controller I

Hello, I have a problem with my script. I don'y know how to apply subtitles. I have 9 charts per page (for combination of 3 blocks and 3 treatments). I want to have subtitles for this interaction (e.g. Block A Trt 1, Block A Trt 2, ...) MBE$bt<- interaction(MBE$Block,MBE$trt) par(mfrow=c(3,3)) for(i in unique(MBE$bt)){ ss <- MBE$bt==i plot(MBE$Year[ss], MBE$DBH[ss])

Hello, I have a big table with 3 columns and 103918 rows. This is the example,            time             species                 dbh 5 1 4.9377297 575 1 11.64127213 575 1 109.8182438 575 1 8.029809521 5 1 24.32501874 575 1 4.895992119 575 1 11.40567637 575 1 2.795090562 575 1 21.79281837 575 1 52.57476174 575 1 27.7290919 575 1 3.23262083 575 2 19.30612651 575 1

Dear all, I've used glm(family=binomial(link="logit")) several times, but now I think that a log link is more appropriate. I want to fit a model for probability of tree fall (TF)), with tree diameter (dbh) and soil moisure (soil) as predictors. A large number of trees have been checked every second year whether they stand up (0) or have fallen (1). I assume that the tree fall

hi,guys- I have a mysql database which stores host informations,so I wrote a function to get some values. - Here is the function rb(this function should return the type I defined in the database): #hosttype.rb require "mysql" module Puppet::Parser::Functions newfunction(:hosttype, :type => :rvalue, :doc => "Gets host type from db.") do |args|