similar to: Obtaining r-squared values from phylogenetic autoregression in ape

https://bugzilla.samba.org/show_bug.cgi?id=8829 Summary: rsync -uav --delete --dry-run prints delete file list in reverse order Product: rsync Version: 3.0.9 Platform: All OS/Version: All Status: NEW Severity: minor Priority: P5 Component: core AssignedTo: wayned at samba.org

Signed-off-by: Alex Nelson <ajnelson at cs.ucsc.edu> --- images/mkrlenvalue_test_hive.py | 37 +++++++++++++++++++++++++++++++++++++ images/rlenvalue_test_hive | Bin 0 -> 12288 bytes 2 files changed, 37 insertions(+), 0 deletions(-) create mode 100755 images/mkrlenvalue_test_hive.py create mode 100644 images/rlenvalue_test_hive diff --git a/images/mkrlenvalue_test_hive.py

Hello, I bought a LevelOne WPC-0301 11g Wireless CardBus Adapter today. According to the box it is "v6". The ral(4) man- page mentions only v2, but that one is ancient and can't be bought anymore. So, enabling the debug sysctl gives this in dmesg: cardbus0: Expecting link target, got 0x0 cardbus0: <network, ethernet> at device 0.0 (no driver attached) cardbus0: CIS pointer

Hi, In order to produce an autoregression where only certain lags are allowed, specified in advance (e.g. c(1,2,5) ), I have found it necessary to look beyond the standard [ar] function, thankfully discovering the [FitAR] package, wherein the [FitARp] function provided exactly that capability. However for my problem at hand, [FitARp] is vastly slower than [ar] - taking hours rather than minutes.

This might be obvious to some, but I can't find a neat way to do it: Say I have two (very long) numerical vectors a & b of the same length representing variable coefficients of a linear autoregression. I want to calculate vector x defined by x[1] <- b[1] for (n in 2:length(a)) x[n] <- a[n]*x[n-1] + b[n] Is there a way to do this vectorially, i.e. without using the 'for'

Hi, I am trying to fit all subsets for a vector autoregression with exogenous variables. I have been looking at the 'leaps' function but I not sure how to get it to work when lags for each variable are included in the model. I would be really appreciative if someone could provide some links to examples. Thanks in advance! -- View this message in context:

dear All, I have the following problem: I need to calculate an h-step ahead forecast from a var model (estimated with a dse1 method estVARXls), which in turn will be used as an input for another model as conditioning data, so I need it as a simple, numeric matrix. No exogenous input is used. However, the standard forecast method produces a 1-element list that includes a forecast matrix, yet I

Hi! I'm a new R user and I have a question about estimating VAR on a panel data. What I'm trying to do is to explain stock's volume on it's lagged volume, it's lagged returns and lagged market return's (and vice versa). In addition I have generated an exogenous variable controlling for stock's volatility. Some of you may be familiar with this experiment since it follows

Is there any R package that implements a bifurcating autoregression, aka the BAR(n) model? I've been reading the Huggins and Staudte paper, "Variance Components Models for Dependent Cell Populations", from the Journal of the American Statistical Association, 1994. Shawn Garbett <shawn.p.garbett at vanderbilt.edu> Vanderbilt Cancer Biology 220 Pierce Ave, PRB 715AA

Hi, I am new to R and looking to do auto-regression / ARIMA type modeling. My data has both date and time which I need to combine into a single date-Time value. The time steps are unequal. What package is best for doing the regression and plotting the predicted values against the actual data? Also, what format does my data need to be in when I use the package? For example, I looked at the

Folks, I have been using the VAR {vars} program to find a fit for the following bi-variate time series (subset): bivariateTS<-structure(c(0.950415958293559, 0.96077848972081, 0.964348957109053, 0.967852884998915, 0.967773510751625, 0.970342843688257, 0.97613937178359, 0.980118627997436, 0.987059493773907, 0.99536830931504, 1.00622672085718, 1.01198013845981, 1.01866618122606,

This mailbox is unmonitored. Mail sent to this address is not received or read. I am unable to offer support for general technical issues via private e-mail. I only provide support via the newsgroups, so that others may benefit from the solution to a given problem. In addition, many others will see your post, and may have an answer that I do not. If your message was a follow up to a post I

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++

Hi, we have a samba setup running samba 3.0.10-Debian with a lot of DOS pc's writing to it. Now we have a problem that when one of those pc's is restarted while having a lock, that file stays locked. We already tried changing this behavior by setting the following parameters without effect: - keepalive - SO_KEEPALIVE - deadtime How can we enable a timeout on these locks /