similar to: equivalent from gladder and ladder from stata

I was debugging a turnup with Global Crossing the other day and they presented me with a web page that displayed a 'ladder diagram' of a call including a ton of detail all neatly organized in tabs and links so you could drill down to any level of detail needed. The copyright notice says 'Copyright? 2008 Empirix.' Is there any free software available to analyze a pcap or

Hey all I''m going to be creating a sports ladder shortly and I was wondering if anyone has any good tips/ideas/comments regarding the subject. The only additional spec I can think of is that I have to be able to create (and have running) multiple tournaments. Thanks all, -Andy -------------- next part -------------- An HTML attachment was scrubbed... URL:

I am trying to reorder a factor data type so that when I plot stats associated with the factor, the ordering makes sense. For instance, if I have a factor entered as follows ... A = as.factor(c("1", "10", "3", "3", "10", "10")) levels(A) ... the ordering does not really make sense (assuming I want the factor ordered by integer

class Ladder < ActiveRecord::Base has_many :players has_many :users, :through => :players end class Player < ActiveRecord::Base belongs_to :users belongs_to :ladders end class User < ActiveRecord::Base has_many :players has_many :ladders, :through => :players end When I try the following code (on the console) I get an error: @ladder = Ladder.find(1) @ladder.users I

Hi, I''m trying to use :through and STI using the trunk version of Rails, but I get the following error see bottom of this msg[1] here are my classes. class Player < ActiveRecord::Base end class Ladder < ActiveRecord::Base has_many :subscriptions has_many :players, :through => :subscriptions end class SingleLadder < Ladder end class Subscription <

Hello, There is a built-in tool in Wireshark for this : menu Telephony => Voip Calls, the select your call and click on "Flow Sequence". Best regards Jean Aunis Le 17/01/2017 ? 12:27, Yves a ?crit : > Hi, > > I am using pcapsipdump for debugging sip calls. > > when I have to debug a call, pcapsipdump generates two files per > call... one for the sip dialog

Another nice sip packet is sngrep Shows realtime the sip flows But i think you have to chk the asterisk answer in the dialplan logic to chk what context its hitting etc. ?????? 6 ????? 2016 10:05 PM,? "Steve Edwards" <asterisk.org at sedwards.com> ???: > On Wed, 6 Jul 2016, Victor Villarreal wrote: > > If you experience problems with inbound calls from a SIP trunk or

I am trying to implement a simple r-svm example using the iris data (only two of the classes are taken and data is within the code). I am running into some errors. I am not an expert on svm's. If any one has used it, I would appreciate their help. I am appending the code below. Thanks../Murli ####################################################### ### R-code for R-SVM ### use leave-one-out

Hello, There appears to be a display issue when connecting to an OpenServer system using SSH2. I've compiled OpenSSH 2.5.1p1 on SunOS 5.7, HP-UX 11, and OpenServer 5.0.5. Whenever the destination is the OpenServer system, the display has a step-ladder effect. This behavior exhibits itself no matter what box the origination point is. A quick inspection revealed that the stty settings of

Dear community, I've plotted data and coloured depending on the factor variable v3. In the legend, I'd like to assign properly the same colors than in the factor (the factor has 5 levels). I've been trying this but it doesn't work. plot(var1, var2, xlab = "var1", ylab = "var2", col =var3 , bty='L') legend(locator(1),c("level 1 var3",

On Tue, Nov 12, 2024 at 10:10:06AM +0100, David Hildenbrand wrote: > On 12.11.24 06:26, Matthew Wilcox wrote: > > On Mon, Nov 11, 2024 at 08:26:54AM +0000, Fuad Tabba wrote: > > > Thanks for your comments Jason, and for clarifying my cover letter > > > David. I think David has covered everything, and I'll make sure to > > > clarify this in the cover letter

Dear Community, I want to identify outliers in my data. I don't know how to use identify command in the plots obtained. I've gone through help files and use mahalanobis example for my purpose: NormalMultivarianteComparefunc <- function(x) { Sx <- cov(x) D2 <- mahalanobis(x, colMeans(x), Sx) plot(density(D2, bw=.5), main="Squared Mahalanobis distances, n=nrow(x),

Dear R-helpers, if I am right a discriminant analysis can be done with "lda". My questions are: 1. What method to discriminate the groups is used by "lda" (Fisher's linar discriminant function, diagonal linear discriminant analysis, likelihood ratio discriminant rule, ...)? 2. How can I see, which method is used? (Typing just lda does not give me any code). Thank you in

Hi: Do any of you know if there's an equivalent function to the Stata command: Use v1 v3 v5 v2 v7 using file.dat In R? (i.e. something that just selectively loads certain variables from a file and not others)? Thanks Jon Minton [[alternative HTML version deleted]]

hi, i am looking to reproduce a study done in stata in R, where a regression was done while absorbing a categorical variable.? i am new to R, i've i installed the design package but haven't been able to find an applicable function. thanks for any help.

What are the R equivalents to the Stata command egen tag and egen count? egen station_week_tag = tag(station week) Thank you

Hi! I'm a recent convert from Stata, so forgive my ignorance. In Stata, I can write foreach loops (example below) foreach var of varlist p1-p14 { foreach y of varlist p15-p269 { reg `var' `y' } } It's looping p1-p15, p1-p16...., p1-p269, p2-p15, p2-p16,... p2-p269,... variable pairs. How can I write something similar in R? I 'tried' understanding the

I am evaluating a switch from Stata to R. I don't need to extensive Statistical methods, but the main reason I am exploring the switch is the coding flexibility in R (e.g. Stata does not support linear/quadratic programming). I have been going over the R syntax and I had a quick question: In Stata, one has a very useful construction called "by", e.g. by month signal: gen xxx =

Hello R-help, According to a research article that covers the topic I'm analyzing, in Stata, a Poisson pseudo-maximum-likelihood (PPML) estimation can be obtained with the command poisson depvar_ij ln(indepvar1_ij) ln(indepvar2_ij) ... ln(indepvarN_ij), robust I looked up Stata help for the command, to understand syntax and such: www.stata.com/help.cgi?poisson Which simply says

Dear community, I've a tree which included at first 23 variables. Then I've pruned this tree, and there are only 8 variables involved. I'd like to predict and only introduce in newdata the values of these 8 variables involved. However, as the tree was built with the 23, it asked me for 15 values, even if it doesn't need them. Is there a way to introduce only this 8 values?