similar to: Need some PHP/AMI guidance please

Hi Asterisk-users, I am working with Aterisk Manager API's. I can login successfuly with the following. char buff[256]; strcpy(buff, "Action: Login\r\nUsername: admin\r\nSecret: unix\r\n\r\n"); send(msock, buff, 255); Now I want to try Action: Originate, therefore I tried the following char buff1[256]; strcpy(buff1, "Action: Originate\r\nChannel:

Hi, I have written a C code which would let me connect to the Asterisk Manager Interface. The code compiles successfully but on running the code I get unauthorized login shown in the Asterisk command line console. Here is my C code: #include<stdio.h> #include<netdb.h> #include<unistd.h> #include<string.h> #include<arpa/inet.h> #include<sys/types.h>

Dear all, I want to make call through socket i have set code given below: #!/usr/bin/perl -w use IO::Socket::INET; sub asterisk_command () { # my $command=$_[0]; my $ami=IO::Socket::INET->new(PeerAddr=>'127.0.0.1',PeerPort=>5038,Proto=>'tcp') or die "failed to connect to AMI!"; print $ami "Action: Login\r\nUsername:

Dear all, We have a large data set with temperature data for weather stations across the globe (15000 stations). For each station, we need to calculate the number of days a certain temperature is exceeded. So far we used the following S code, where mat88 is a matrix containing rows of 365 daily temperatures for each of 15000 weather stations: m <- 37 n <- 2 outmat88 <- matrix(0,

I'm running into a problem I can't seem to find a solution for. I'm attempting to add sequences into an existing data set based on subsets of the data. I've done this using a for loop with a small subset of data, but attempting the same process using real data (200k rows) is taking way too long. Here is some sample data and my ultimate goal >

Hi, I'm a bit puzzled. I uses exactly the same code in RcppExamples package to try adding RcppFrame object to RcppResultSet. When running it gives me segmentation fault problem. I'm using gcc 4.1.2 on redhat 64bit. I'm not sure if this is the cause of the problem. Any advice would be greatly appreciated. Thank you. Rob. int numCol=4; std::vector<std::string>

Hi R-experts, I try to find a way to transfer a matrix to a data.frame that is used as input of aov. can you give me advice for that? >mdat <- matrix(c(1,2,3, 11,12,13), nrow = 2, ncol=3, byrow=TRUE, dimnames = list(c("row1", "row2"), c("Col1", "Col2", "Col3"))) >mdat      Col1 Col2 Col3 row1    1    2    3 row2   11   12   13 ===>

Hi to all is there any construct to sum data=data.frame(row1=c(1,1,3,1,2,3,2,2,1,3,4,5,2,3,2,1) , row2=c(2,2,1,1,1,2,1,2,1,1,1,1,2,2,2,1) ) Means I would like to get all y of row1 if in row2 of the data.frame is an x f.e row1=3 and row2=2 so I would like to get 6 And is there another construct to get the count of pairs where row1=3 and row2=2 means the result should be

Hi, I have a data frame with several columns. Now I want to transfer the data into a new variable (also a data frame), but I only want a part of the data, defined by a rule ... for example; I have following data frame: row1 row2 row3 x 2 3 x 1 4 y 5 3 y 2 3 I know want a data frame, only with lines containing x in row1. I know how to do that for one row (f <-

Hi, I have a problem with the R syntax. It's perhaps pretty simple, but I don't understand it ... I can extract a column from a data.frame with the following code for example ... b$row1[b$row1 == "male"] so I see all male-entries. But I cannot extract all lines of a data.frame depending on this criterium; only.male <- b[b$row1 == "male"] With that, I

I need to implement a conditional in my RJS template which looks something like: if (page.select(''row1'').first != null) page << "new TableRow.MoveAfter(''row1'', ''newrow'');" else page << "new TableRow.MoveAfter(''row2'', ''newrow'');" end Now, dumb question.. My

The problem is that the drop is only applied (or not) after the subsetting, so what R does is: - Getting the subset, which means a 1 x 1 matrix. - Only then It either returns that as is (when drop=FALSE), or removes ALL dimensions of extent 1, regardless of whether these are rows or columns (or higher dimensions). And it can't keep any names, because what name should be returned? The name

Hi Everyone, I have a 2-dim data.matrix(e.g., table1) in which row1 specifies a range of values. row2 - rown specify the number of times I want to replicate each corresponding value in row1. I can do this with the following function: rep(c(table1[1,]),c(table1[X,])) #where X would go from 2 - n. Now, I can do this manually by changing the values of X and save each resulting array/vector in

Hi, I have a problem sorting and selecting entries within a data-frame and I don't know if it is possible to solve it with R ... (probably yes, but I have no idea how). Following Data; row1 row2 a 12 pos NA a 3 neg NA a 5 neg NA a 11 pos NA I want to extract the values in row 2 in the lines with an "a" in row1. But I want to have two vectors: vector x with all

Dmitriy Selivanov (selivanov.dmitriy at gmail.com) wrote: > Consider following example: > > a = matrix(1:2, nrow = 2, dimnames = list(c("row1", "row2"), c("col1"))) > a[1, ] > # 1 > > It returns *unnamed* vector `1` where I would expect named vector. In fact > it returns named vector when number of columns is > 1. > Same issue applicable

Hello List, I am not sure that I have the correct terminology here (restricted bootstrap) which may be hampering my archive searches. I have quite a large spatially autocorrelated data set. I have xy coordinates and the corresponding pairwise distance matrix (metres) for each row. I would like to randomly sample some number of rows but restricting samples such that the distance between them is

Hi R Users, I'm using following data/code (data is attached also) to produce a stacked barplot. # Sample Data: Names Col1 Col2 Col3 Row1 -20 40 -10 Row2 30 -20 40 Row3 30 10 -20 Row4 20 20 -10 # R Code: dta<-read.table("data.txt", header=TRUE, row.names="Names") barchart(data.matrix(dta), horizontal=FALSE, stack=TRUE, par.settings = simpleTheme(col =

Hi everybody, I noticed a strange behavior when using loops versus apply() on a data frame. The example below "explicitly" computes a distance matrix given a dataset. When the dataset is a matrix, everything works fine. But when the dataset is a data.frame, the dist.for function written using nested loops will take a lot longer than the dist.apply ######## USING FOR ####### dist.for

Hi, May be this helps: dat1<- as.data.frame(table1) ?dat2<- as.data.frame(table2) names(dat2)<-c("V3","V4") library(plyr) res<-join(dat1,dat2,type="full") ?res[is.na(res)]<- 0 ?res #? V1 V2 V3 V4 #1? 1? 1? 0? 0 #2? 1? 2? 0? 0 #3? 0? 0? 0? 1 #4? 0? 0? 0? 4 ?combinedtable<-as.matrix(res) ?colnames(combinedtable)<- NULL ?combinedtable #???? [,1] [,2]

Hi Friends, I am new to R. On R utility class pages, creating "named.list" is described with this command : new("named.list",a=1,b=2) For large matrix having two columns, such as : "row1" 2334 "row2" 347 "row3" 379 ... I want to create a named.list like : $row1 [1] 2334 $row2 [1] 347 ... Can anyone explain how "named.list"