similar to: nls fit to exponential decay with unknown time origin

I finally got (mostly) what I wanted. In an attempt to figure out how to get nls to deal with a non-differentiable function, I had (stupidly) 'simplified' the problem until it became singular. Can I do something to make optim() less sensitive to my initial guess? For this example, I get a lousy solution if I make the initial guess for t0 = min(t) = 0.05. Thanks again, -- Robert Merithew

Dear All, I have two machines, a Centos 3.4 machine and a Centos 4.1 machine. I have used the same sendmail.mc file on each, and 3.4 machine does plain SMTP auth with no problems, compiling the same mc file on the 4.1 machine gives this error: xxxxx [x.x.x.x] did not issue MAIL/EXPN/VRFY/ETRN during connection to MTA in the logs, it doesn't even try to authenticate, the cyrus sasl rpm

I am getting large numbers of these types of messages in my maillog files: somehost.hotmail.com [65.54.246.97] did not issue MAIL/EXPN/VRFY/ETRN during connection to MTA on both of our external machines beginning on the same date. These hosts sit on different netblocks and on both machines the sendmail.cf files date from Jan 09, 2007. The last successfull connection from any hotmail acocunt

Folks I am using sendmail as my mail server. SELINUX is disabled. I observe messages in Centos 7 (and 6) in /var/log/messages, similar to: saslauthd[2765]: do_auth : auth failure: [user=bettie] [service=smtp] [realm=] [mech=pam] [reason=PAM auth error] I guess that this is because somebody tried to access one of the SMTP ports with a logon attempt. This is understandable; there are

Hi, I have Sendmail configured to use STARTTLS for authentication. On all internet connections and computers (that I have tested) works connection over encrypted SMTP flawlessly. Today I was setting up mail client on PC of my customer and standardily checked boxes, that I want to use SSL for POP3 and SMTP. Next I wanted to check configuration (by sending email from this mailbox to this mailbox)

I configured Dovecot on our mail server under Centos 5.3 (I think) some while ago now (about 2 years) and, to the best of my knowledge,it had been working correctly all that time. However, one of the team wanted to use webmail while away from base and found that, although he could receive emails OK, he was unable to reply or send fresh emails. When he pressed Send he got a message ?Authentication

Hi, In the third edition of the MASS book, Chapter 8, Page 252 ~ 253. I tried applying the same technique on using a negative exponential model (as suggested in Exercise 1), and trying to get a confidence interval. What I have changed is follows: expn <- function(b0, b1, th, x) { temp <- exp(-x/th) model.func <- b0 + b1 * temp # Differentiate temp derive.negexp <- (x

I've been working on some basic library call optimizations, the SimplifyLibCalls pass (lib/Transforms/IPO/SimplifyLibCalls.cpp). Tonight I conjured up a list of the potential libcall simplifications that could be done. There's a lot of them. I could use some help if anyone wants to pitch in. The individual optimizations are self-contained and fairly straight forward to write. They range

(I'm new to R) Is there a way to add data to an existing plot, and have the plot axes rescaled automatically (i.e. if the new data lie outside the current axes) ? If not, how can I specify multiple datasets at once, so the axes are scaled to accomodate all sets? Details: (Am I using R's data structures in a reasonable way?) I have many small datasets taken under different

First, thanks to all who helped me with my question about rescaling axes on the fly. Using unlist() and range() to set the axis ranges in advance worked well. I've since plotted about 300 datasets with relative ease. Now I'm trying to fit a lossy oscillator resonance to (the square root of) a lorentzian (testframe$y is oscillator amplitude, testframe$x is drive frequency): lorentz

Hi, I'm trying to determine if R is useful to me. I've browsed 'The Basics of S and S-Plus' (Krause & Olson), and like the logic of the language. However, I don't see an easy way to do things like this: * given a set of observations (x,y) (x and y equal-length vectors), and a 2nd set of abscissas x2, interpolate y at the new abscissas x2. (for now, I don't really

Hum... This boils down to > as.numeric("1.23e") [1] 1.23 > as.numeric("1.23e-") [1] 1.23 > as.numeric("1.23e+") [1] 1.23 which in turn comes from this code in src/main/util.c (function R_strtod) if (*p == 'e' || *p == 'E') { int expsign = 1; switch(*++p) { case '-': expsign = -1; case

Package: logcheck Version: 1.3.3 Severity: normal After upgrading to the latest logcheck, I've noticed that some local rules I have written no longer filter out the logs properly. I've been able to correlate the non-matching to the presence of the '/' (slash) character or '[' (left bracket) in the string that the ".*" pattern ought to match. For instance, I

Hi All, I am struggling for 2 weeks solving authentication problem in dovecot. logs from /etc/mail/maillog Oct 15 18:00:35 localhost dovecot: auth: Debug: Loading modules from directory: /usr/lib64/dovecot/auth Oct 15 18:00:35 localhost dovecot: auth: Debug: Module loaded: /usr/lib64/dovecot/auth/libauthdb_ldap.so Oct 15 18:00:35 localhost dovecot: auth: Debug: Module loaded:

I think this is a bug; at least this behavior is not documented in plot or plot.default. plot.default resets xaxp, and leaves xaxp reset when it exits: par(xaxp=c(0,1,4)) print(par("xaxp")) plot(c(0,1),c(0.2,0.3)) print(par("xaxp")) R. Woodrow Setzer, Jr. Phone: (919) 541-0128 Experimental Toxicology Division

Hello! After moving from Centos 5.6 to Centos 6, I figured that Sendmail minor version was updated from 8.13.x to 8.14 and Dovecto from 1.2 to 2.0.x In previous configuration SMTP auth worked fine (no SASAUTHD neccessary) for virtual users table. Dovecot was authenticating virtual users virtual checking dovecot.passwd file. I'm not sure how Sendmail was processing SMTP AUTH for virtual users

Dear R-developers, I came to a somewhat unexpected behaviour of read.csv() which is trivial but worthwhile to note -- my data involves a protein named "1433E" but to save space I drop the quote so it becomes, Gene,SNP,prot,log10p YWHAE,13:62129097_C_T,1433E,7.35 YWHAE,4:72617557_T_TA,1433E,7.73 Both read.cv() and readr::read_csv() consider prot(ein) name as (possibly confused by

Hello all: I would like to test whether there are treatment effects on decomposition rate, and I would like to inquire about the best, most appropriate means using R. I have plant decomposition data that is generally considered to follow an exponential decay model as follows: Wt = Wi * exp(-k * t) Where Wt and Wi are the weights of the plant material at time t and 0, respectively. k is a

Hi, I want to use the neural network package AMORE and I don't find in the documentation the weight decay option. Could someone tell if it is possible to add a regularization parameter (also known as a weight decay) to the training method. Is it possible to alter the gradient descent rule for that? Thanks, Ron

Greetings all, So, I''ve finally found a place to play around with the Ajax.PeriodicalUpdater. In looking at the API, I''m liking the decay option -- not necessarily for my current purpose, but just to keep in mind -- and I have a question: can the decay be a function which returns an integer? Basically, why I''m looking for is a logarithmic decay (where the system