similar to: R program for optimal balanced Arrays!

Hi all, Does anybody have a workable dopt program in R to generate D-optimal designs. I downloaded dopt.zip from stat homepage of the university of oxford, whenever I load it into R and try to run, the following error comes: Error: couldn't find function "Dopt". Any information will be highly appreciated! Thank you! Harvey. --------------------------------- [[alternative HTML

Good afternoon, I have a question on generating simple randomization data. Thanks for any suggestions. Two normal distribution N(0,1) and N(1,1) A: I want to generate 20 data, 10 from N(0,1) and 10 from (1,1). each observation's indicator (either is from N(0,1) or N(1,1) ) is randomized. I need use the frist 10 data from the generated 20 dataset. (it is not necessary 5 from N(0,1) and 5

Greetings R-helpers, I am attempting to fit an lme() while specifying a correlation structure, but I'm getting into trouble long before I get to that point. I am receiving the error: Error in y[revOrder] - Fitted : non-conformable arrays It doesn't seem to matter how simple or complex the model I specify is, it always gives this same error message. This makes me suspect something is

Does anyone know enough about the implementation of AstDB to know whether the data structure is a Hash function, a Balanced-Tree, a b-Tree, or a Linked List? I'm trying to estimate the lookup 'cost' of a AstDB with around 160,000 keys? Obviously I already know that it WILL WORK, but the question is whether the data structure is optimal in the Berkeley DB AS IMPLEMENTED in Asterisk.

Sorry about the lengthy subject line. Anyone know of an R' program that can look at several sources' varying available volumes/amounts and their individual set of values, compared to a "target" range/curve for these values, to find the optimal mixture(s) of these possible sources for the desired curve, and for a specified amount? I hope that makes sense as a reader. Thanks for

I am working with a large data set of arrivals, for each day I have aggregated the arrivals into hrs (1-24) via: apply(x,2,table). On some days there are zero arrivals during some hours of the day, this leaves me with (I believe) a list of vectors of differnt lengths (see below). [[4]] 1 2 3 5 6 8 9 10 11 13 14 15 16 17 18 19 20 21 22 23 24 1 3 2 3 1 1 2 3 4 4 4 3 2 6

Hi everybody, I'm looking into replacing the linked lists in tinc with balanced trees. Using balanced trees will greatly improve performance for medium to large VPNs. As I see it, there are several options: 1) Use tsearch()/twalk()/etc functions from glibc. + It is in a very standard library - It relies solely on callback functions, which sometimes results in ugly, awkward code (I

Hi Pan & Dhaval, In the past 8 weeks, we have delivered a load-balanced asterisks (1.4) based call center with our flexqueue application for icson.com. It has the below features, 1. 2 x asterisk 1.4 boxes, 1 x mysql db box and 1 x flexqueue box(the two are failover configured with heartbeat and custom script, and mysql master-slave replication between two svr), 2 x kamailio boxes(failover

I use by() to generate a summary statistics like so: Lbys <- by(dat[Nidx], dat$LipTest, summary) where Nidx is an index vector with names picking out the columns in the data frame dat. This returns a list of character arrays (see below for str() output) where the columns are named correctly but the rownames are empty strings and the values are strings prepended with the summary

Nicolas Capens wrote: > [...] > I'm not sure if that's going to help achieve optimal code > for when the array is sometimes being dynamically indexed. > Essentially there should be some kind of store to load copy > propagation. As far as I know that's exactly what mem2reg > does, except that it only considers scalars and not elements > of arrays. > > So would

Dear all I would like to have some data in the form of a 2-dimensional array (matrix) of lists, so that I can easily find the desired list object by indexing the structure by rows and columns. In matlab there exists a data type called "cell array": a matrix of "cells", which are composite objects very similar to R lists. I know that in R you can create 1-dimensional

Hi, I am inquiring as to what are the best practices with respect to storing and manipulating ordered multi-dimensional arrays. For example, suppose I have a sequence of time-varying covariance matrices of asset returns. The data is ordered, but the ordering is not necessarily regular (e.g. daily data omitting weekends and holidays, etc.). The data array is say, N x N x T. For example, the

I am moving this to r-devel. The problem and solution below posted on r-help could have been a bit slicker if %*% worked with multidimensional arrays multiplying them so that if the first arg is a multidimensional array it is mulitplied along the last dimension (and first dimension for the second arg). Then one could have written: Tbar <- tarray %*% t(wt) / rep(wti, each = 9) which is a bit

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 6 Sep 2016 22:26:31 +0200 writes: > Yesterday, changes to R's development version were committed, relating > to arithmetic, logic ('&' and '|') and > comparison/relational ('<', '==') binary operators > which in NEWS are

useR's, Is there a way to create a temporary array (or matrix) in R to hold values, then drop or delete that temporary array from memory once I do not need it anymore? I am working with multidimensional arrays/matrices and I frequently perform multiple operations on the same matrix and rename it to be another object. I want to be able to delete the older versions of the array/matrix to free

Hello, I have been asked to implement the following design: Load-balanced Kamailio servers handling registrations and routing. Load-balanced asterisk feature servers handling voicemail and other things Kamailio cannot do. Plus several load-balanced gateways, but they are not relevant to my question. All this is working fine. I've now been asked to start implementing calling queues, and my

Hi, I am trying to get information on out-of-sequence packets being dropped on my load balanced multilink router. Can anyone give me any information on how best to log/track such packets? The router is based on Leaf Bering uClib 2.4 (kernel 2.4.26) The load balancing is being done using teql over a number of gre tunnels, each on a separate ethernet ADSL to a central box where the gre

>>>>> robin hankin <hankin.robin at gmail.com> >>>>> on Thu, 8 Sep 2016 10:05:21 +1200 writes: > Martin I'd like to make a comment; I think that R's > behaviour on 'edge' cases like this is an important thing > and it's great that you are working on it. > I make heavy use of zero-extent arrays, chiefly

Dear all, (apologoies - this has nothing to do with 4.7 being out, but is rather a long-standing issue that regularly bites us). Is there anything I could do to further the case of https://bugzilla.mindrot.org/show_bug.cgi?id=1008 As a summary, GSSAPI auth against machine in a DNS load-balanced server farm fails. SSH-1 Kerberos works. DNS load-balanced farm: Individual machines in the farm

Hi Ppl I have 5 adsl lines that after reading quite a bit i managed to get load balanced now abvoiusly it doesnt load balance evenly and this works on what routes are still in the routing cache. my question is my outbound masquerading had to be modified to use snat in iptables instead of just plain masquerading my outbound masquerading now works but my inbound port forwarding doesnt work would