search for: spying

Hi Charlie, I am comfortable to put the data in any way that works best. Here are two possibilities: an xts and a data frame. library(quantmod) quantmod::getSymbols("SPY") # creates xts variable SPY SPYxts <- SPY[,c("SPY.Close","SPY.Volume")] SPYdf <- data.frame(Date=index(SPYxts),close=as.numeric(SPYxts$SPY.Close),

I want to add to my dialplan the ability to spy on an arbitrary extension whether a call originates at it or is terminated at it. Scenario 1: Given an extension, say 2001, a call comes in on a zap channel and is Dial()ed to the phone that's at extension 2001, I want to be able to pick up a phone and dial (say) *142001 and spy on that call. Scenario 2: Extension 2001 makes a call to, say a

Could you provide some information on your data structure (e.g., are the two time series in separate columns in the data)? The solution is fairly straightforward once you have the data in the right structure. And I do not think tidyquant is necessary for what you want. Best, Charlie -- Charles Redmon GRA, Center for Research Methods and Data Analysis PhD Student, Department of Linguistics

I installed a hardware g729 codec card in my asterisk, and I'm getting the following error when calling from a g729 sip extension to a SIP trunk also set to g729. The call goes through just fine, but these error messages keep flying by until I disconnect the call. Any ideas? ERROR[11871]: channel.c:1316 queue_frame_to_spies: Translation to slin failed, dropping frame for spies Jun 5

Hi list, I have write down my code on which chanspy not working when I make a group with name of spy. Please help me where is the issue on that. a) caller will call this number to join konference and spy group exten => 43681111,1,Answer() exten => 43681111,n,NoOp(****${CHANNEL}****) exten => 43681111,n,Set(GROUP(${CHANNEL})=spy) exten => 43681111,n,Set(a=${GROUP_LIST(spy)}) exten

Hello, I am relatively new to using R. I am using R version 2.8.0. I have a program that downloads stock data from Yahoo! Finance and stores it to a text file on my hard drive. The text file contains the date, opening price, high price, low price, closing price, volume and adjusted price (i.e., adjusted for dividends and splits). I want to read and manipulate the data in R. However, when I

Dear all, I have a problem in writing a variable to a NetCDF-File. My code works pretty well until the step put.var.ncdf(): # Get variables #--------------------- data1 <- open.ncdf("PREC_me_03-1500.nc") prec1 <- get.var.ncdf(data1,"PRECT") dim.time <- get.var.ncdf(data1,"time2") close.ncdf(data1) # Calculation #--------------------- spi24.me <-

...angup There is no entry ChanSpy(Zap/41) in extensions.conf On dialing 304 and Zap/41 is in use this happens: [Jul 1 18:24:47] VERBOSE[14447] logger.c: -- Executing [304 at flash:1] ChanSpy("Zap/31-1", "Zap/4|q") in new stack [Jul 1 18:24:47] VERBOSE[14447] logger.c: == Spying on channel Zap/41-1 [Jul 1 18:24:47] NOTICE[14447] app_chanspy.c: Attaching Zap/31-1 to Zap/41-1 If while spying on Zap/41 that channel is hung up: [Jul 1 19:06:48] VERBOSE[15242] logger.c: == Done Spying on channel Zap/41-1 [Jul 1 19:06:48] VERBOSE[15242] logger.c: == Spying on channel Zap...

Hello all, I am about to send off a manuscript and, although I am fairly confident I have used the lme function correctly, I want to be 100% sure. Could some kind soul out there put my mind at ease? I am simply interested in whether a predictor (SPI) is related to height. However, there are five different populations, and each may differ in mean level of height as well as the relationship

Hi R programmers, I have stumbled across what seems a very simple problem. My goal is to create a xts time series object which contains vectors as values. In other words, I try to create something like this: 2009-01-01 => c('aa', 'bb', 'dd') ... 2010-02-01 => c('mm') I have figured out parts of separately. Here's what works (new xts time-series with

So the general strategy for getting these into separate panels in ggplot is to have a single variable that will be your response and a factor variable that indexes which original variable it came from. This can be accomplished in many ways, but the way I use is with the melt() function in the reshape2 package. For example, library(reshape2) plotDF <- melt(SPYdf, ??? ??? ??? ??? ??? ???

http://bugzilla.netfilter.org/show_bug.cgi?id=577 Summary: cannot set spi/reqid numbers higher than 0x7fffffff (policy match) Product: iptables Version: unspecified Platform: i386 OS/Version: All Status: NEW Severity: normal Priority: P1 Component: iptables AssignedTo: laforge

Hi R, How to get the range of values form startDate to lastDate as given below?. #***************************************************************** # Load historical data #****************************************************************** library('quantmod') endDate =Sys.Date() startDate = as.Date(endDate-30, order="ymd") dataspy = getSymbols("SPY", from = startDate,

I have a laptop that hangs up on shutdown saying that at-spi-bus-launcher is still running. Since I have no use for at-spi-bus-launcher anyway, I would like to get rid of it, but attempting to remove the at-spi2-core rpm wants to remove 99% of my desktop as well. The only way that I can see to get rid of it is to make /usr/libexec/at-spi-bus-launcher non-executable, but that's a pretty

...come in TDM through T1 ZAP channels and go out to a SIP trunk. If I spy on the SIP channel, I can hear the person on the SIP side of the call just fine, but the person on the ZAP channel fades in and out. If I spy on the ZAP channel, and can hear both sides just fine, but I don?t know who I am spying on since I have other calls coming in on the same T1. If I spy on a SIP extension instead of a SIP trunk, I hear both sides just fine. I am using a recent version of Asterisk 1.2 and I am using g729 licenses. This is the command I am using to spy. exten => 8011,1,ChanSpy(Sip/SIPT...

I have a xts object made of daily closing prices I have acquired using quantmod. Here is my code: library(xts) library(quantmod) library(lubridate) # Gets SPY data getSymbols("SPY") # Subset Prices to just closing price SP500 <- Cl(SPY) # Show day of the week for each date using 2-6 for monday-friday SP500wd <- wday(SP500) # Add Price and days of week together

Hello everyone, This set will switch the users of pm_runtime_put_autosuspend() to __pm_runtime_put_autosuspend() while the former will soon be re-purposed to include a call to pm_runtime_mark_last_busy(). The two are almost always used together, apart from bugs which are likely common. Going forward, most new users should be using pm_runtime_put_autosuspend(). Once this conversion is done and

Hi I have created the following plot over the empirical returns.. What I now want to do is to overlay a curve/line with the normal density as a comparison of the two. Does anyone know how to do this? (NB the last two lines are the problem, and are wrong, I know). Thank you in advance! Rikke http://r.789695.n4.nabble.com/file/n3768783/S%26P_500_spot_and_return_2010.csv

Hi, I am in a predicament and any help/pointers would be appreciated. We are using chanspy to listen in on conversations. We are doing this via a web interface. The web interface lists all the ongoing calls. We click on a call and then my local phone rings allowing me to spy on the session I clicked on. But "most" of the time, when I start listening in, the two parties that are in

Hi Charlie, Thanks. This is helpful. As mentioned in my original question, I want to be able to plot a few such charts on the same page, say a 2 x 2 grid with such a chart for each of 4 different stocks. Using your solution I accomplished this by making a list pLst of your ggplots and then calling cowplot::plot_grid( plotlist=pLst, nrow=2, ncol=2 ) That worked fine. The one issue I have is that