similar to: Mangling TOS, or Precedence/SecurityOpts/Compartment?

All, I have been able to successfully use the optim( ) function with "L-BFGS-B" to find reasonable parameters for a one-compartment open pharmacokinetic model. My loss function in this case was squared error, and I made no assumptions about the distribution of the plasma values. The model appeared to fit pretty well. Out of curiosity, I decided to try to use nlminb( ) applied to a

I try to fit reaction kinetic data to a given hypothetical model consisting of 3 ODEs. After some reading in Bates/Watts and the literature cited there (e.g. Jennrich/Bright) I looked in R for functions that support the use of the matrix exponential method. Until now I used for a similar (but simpler) problem the nls package and fitted against the the parameterized solution function. But this

All: I am tasked with creating an environment in which DiffServ and IP precedence is handled as close to RFC specification as possible. I have a few problems with implementing this based on current queueing structure. Here are a few of my questions. 1.) Is there any way to get DiffServ AF drop levels without using DSMARK and GRED? Ex. AF11 Gred DP 1 AF12 Gred DP 2 AF13 Gred DP 3 2.)

Dear R-Users, I would like to know whether it is possible to draw several stacked barplots (i.e. side by side on the same sheet)... my data look like : Cond1 Cond1' Cond2 Cond2' Compartment 1 11,81 2,05 12,49 0,70 Compartment 2 10,51 1,98 13,56 0,85 Compartment 3 1,95 0,63 2,81 0,22 Compartment 4 2,08 0,17

Dear Michael, One key is adjustment of nls optimizer tolerance. I notice it has to be higher than usual, but, I recovered your noisy "known" parameter values with an error of K1 (-7%) and k1 (-6%): #### Miller problem with Dalgaard modifications ## Linares 1/22/2004 ## Solution 1 nls(noisy ~ lsoda(xstart, time, one.compartment.model, c(K1=K1, k2=k2))[,2], data=C1.lsoda,

Hy, I would want to mark the packets that are entering in a machine, with a mark for using diffserv with DSMARK. My machine has 2 interfaces, a ethernet and a wireless. The ethernet interface is eth1 and the other is wifi0. Firs, I would want to test that I would be able to mark the tos of the paquets that I would be receiving, for this I write in the console of my linux: iptables -A

Dear Colleagues, Our group is also working on implementing the use of R for pharmacokinetic compartmental analysis. Perhaps I have missed something, but > fit <- nls(noisy ~ lsoda(xstart, time, one.compartment.model, c(K1=0.5, k2=0.5)), + data=C1.lsoda, + start=list(K1=0.3, k2=0.7), + trace=T + ) Error in eval(as.name(varName), data) : Object

Hi all, I am wondering if anyone can help me to resolve a problem. I am trying to use tc command in linux to drop udp packets of specific diffserv value. I am able set diffserv value successfully in the udp packet using command:- [root@scotch src]#iptables --table mangle --append OUTPUT \ --out-interface eth0 --protocol udp --source-port 5060 \ --jump DSCP --set-dscp 8 but i am not able to

Yep, done that already, but it is not at all a good fit when the device is inside a drone flying around ;-) What we do have, is a fake file-system that keeps everything in memory, and after the profiling is completed we offload it for analysis. I guess I was hoping that there would be a more robust system agnostic implementation. Use of ‘mmap’ is similarly constraining. MartinO

Has anyone figured this out yet? Lots of places say to add the following to sip.conf of an Asterisk 1.2 system (current production machine/Asterisk as root): tos=0xB8 (Hex B8 = Decimal 184 = Binary 10111000) or if you are running Asterisk v1.4 or newer: tos_sip=cs3 ; Sets TOS for SIP packets. tos_audio=ef ; Sets TOS for RTP audio packets. tos_video=af41 ;

We have a situation where we do not want our samba servers broadcasting their netbios names on the network. I've never seen anyone else discuss this; before I post a possible patch to the samba code, I'm interested in knowing if anyone else would find this of use. Our organization has a 3000+node NT network. To cut down on broadcast traffic, the NT boxes are configured to NOT

Dear all, I have a Pharmokinetics data set where single dose is used for several time points on 8 subjects. I wanted to fit a two compartment model on the data set to see whether it is reasonable. This is the first time to analyze a PK data set and am not familar with various concepts in the compartment models. It seems that PK.fit function in the PK.fit package can be used to fit

> >For example (and this is only an example), a private namespace may be >assigned for each user at login time (at the level of the login shell). >Thus, the user''s "ls" commands see files in whatever directory the >private namespace is rooted, and for all intents and purposes it appears >to be an ordinary filesystem. Yet no other users can see this. User runs

Dear All, I am Ricky Jacob, a project Student from India who is working on Forest Inventories. Input data: Plot(area = .1 ha) data having the following information: 1) Basal Area 2)Tree Density 3)Volume So I am applying this information to the corresponding pixels in the satellite imagery of the study area. I also have given the same values to a 3x3 window around that pixel. Inventory is taken

scuba 1.2-1 ** now with added Helium ** 'scuba' is a contributed R package that performs theoretical calculations about scuba diving --- dive profiles, decompression models, gas toxicity and so on. New features in version 1.2-1: . Breathing gases may now contain Helium as well as Oxygen and Nitrogen. . Decompression models now handle breathing gases containing

scuba 1.2-1 ** now with added Helium ** 'scuba' is a contributed R package that performs theoretical calculations about scuba diving --- dive profiles, decompression models, gas toxicity and so on. New features in version 1.2-1: . Breathing gases may now contain Helium as well as Oxygen and Nitrogen. . Decompression models now handle breathing gases containing

Dear R-group members, I use: platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R I try to fit a 2 compartment model. The compartments are open, connected to each other and

Brokers Move On ERMX! EntreMetrix Inc. (ERMX) $0.18 Heavy trading today as ERMX announced its launch of digital support tools for its portfolio companies. Brokers are getting ahead of this steady climb as they grab up large blocks of shares for there clients. Look at the numbers and get on ERMX Friday morning! KNEEguru: Are there any contraindications for the procedure? if the laws of physics

Brokers Move On ERMX! EntreMetrix Inc. (ERMX) $0.18 Heavy trading today as ERMX announced its launch of digital support tools for its portfolio companies. Brokers are getting ahead of this steady climb as they grab up large blocks of shares for there clients. Look at the numbers and get on ERMX Friday morning! KNEEguru: Are there any contraindications for the procedure? if the laws of physics

Hi! I have some data that looks like this up down percentaje uew_21 20 14 58.82 uew_20_5 27 40 40.29 uew_20 8 13 38.09 uew_19_5 17 42 28.81 So I have 4 experimental conditions and I am counting number of animals in the up and down compartment and the calculating the percentage, I want to know which one of the conditions is different from each other. If the data wouldn't be percentage