search for: rolling

Hello All, A colleague of mine started working with R and out of curiosity I did some research on the language. Very nice. In my opinion this is one of the best languages I've found for getting tasks I'm interested in done. I wrote this simple die roller and was curious to know if it is R enough. ############################################################################## #

Hi, Where can I get good pointers on the rolling checksum algorithm used in rsync? I need an 8-bit or 12-bit rolling checksum too. Any place where "rolling" checksum algorithms are discussed? Seun Osewa ------------------------------------------------- This mail sent through IMP: http://horde.org/imp/

Could someone give me an idea on how to do rolling ranking, i.e. rank in the moving window of last 100 numbers in a long vector? I tried naive solution like roll.rank<-function(v, len){ r<-numeric(length(v)-len+1) for(i in len:length(v)) r[i-len+1]<-rank(v[(i-len+1):i])[len] r } However, it turns out prett...

I was trying to see if there's a way to configure it so that someone with a weak network connection doesn't have to hear our pre-roll over and over again. Thanks Martin -----Original Message----- From: Icecast <icecast-bounces at xiph.org> On Behalf Of Geoff Shang Sent: Friday, November 20, 2020 11:54 AM To: Icecast streaming server user discussions <icecast at xiph.org>

Hi all, Are pre-roll ads supported by Icecast? If so, how? And will the log file tell me if the pre-roll ad was completely listened to? Say the pre-roll ad lasts 15 seconds. If I see a connection of 15 seconds in the log file, does it mean that the listener stopped listening immediately after the ad or that he listened to the ad and then to 15 seconds of music? And if a player disconnects

Hi, I had a query wrt the topic of rsync's rolling checksum algorithm: If I have a fileA that is a database file of size 100 MB on local machine. I back it up first time (full backup) using rsync to the server assuming block_size to be 30 KB and --compress option to compress data as it is transferred. Next time, I modify the fileA with another...

Hello, I'm new to R and would like to know how to create a vector of "rolling sums". (I have seen the Rmetrics package and the rollMean function and I would like to do the same thing except Sum instead of Mean.) I imagine someone has done this, I just can't find it anywhere. Example: x <- somevector #where x is 'n' entries long #what I would like...

Hello, I have previously mailed on list that I am trying to port rsync to NT. I was wondering that whether CRC can be used to find check sums rather then rolling algorithm. I havnt found any document on web comparing rolling algorithm with CRC. -- Hasanatkazmi@gmail.com "I hate Capitalism,so naturally I love Open Source" -- Hasanat Kazmi +923464362473 -------------- next part -------------- HTML attachment scrubbed and removed

Hi Does there exists an efficient way of performing linear regression on rolling windows in R. The exact problem is: We have a dataset of length l. The window size is w. Now, I perform linear regression on window i to (i+w) . Using this model can I perform linear regression over window (i+1) to (i+w+1). Thanks Sid Sent on my BlackBerry? from Vodafone

Package: logtail Version: 1.2.52 Severity: normal Tags: patch Hi, When a logfile is rotated, logtail misses the lines logged between the last logtail run and the logfile rotation. The attached patch allows to set an alternate logfile that logtail tries to use as the old logfile if the inode has changed. It can be used as: logtail -f /var/log/syslog -a /var/log/syslog.1 (Please note that this

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I am pleased to announce general availability of the Feb 2015 snapshot for CentOS Linux. Todays release includes CentOS Linux 7 iso based install media, Generic Cloud images, Atomic Host and Docker containers. CentOS Linux rolling builds are point in time snapshot media rebuild from original release time, to include all updates pushed to mirror.centos.org's repositories. This includes all security, bugfix, enhancement and general updates for CentOS Linux. Machines installed from this media will have all these updates pre...

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I am pleased to announce general availability of the Feb 2015 snapshot for CentOS Linux. Todays release includes CentOS Linux 7 iso based install media, Generic Cloud images, Atomic Host and Docker containers. CentOS Linux rolling builds are point in time snapshot media rebuild from original release time, to include all updates pushed to mirror.centos.org's repositories. This includes all security, bugfix, enhancement and general updates for CentOS Linux. Machines installed from this media will have all these updates pre...

The CentOS Project is pleased to announce general availability of the 1505 rolling build iso install based media for CentOS Linux 7. The rolling builds are a point in time snapshot of a given CentOS version including all updates on mirror.centos.org. This includes all all security, bugfix, enhancement and general updates for CentOS Linux, in this case they include updates up to...

Dear all Scalable Systems is pleased to annouce the availability of the Lustre Roll for Rocks 4.1 (Preview Release). The Lustre Roll contains the latest Lustre 1.4.6 version software packaged to work with Rocks 4.1. This is a *PREVIEW* release based on V1.4.6. The final and production release which we will support officially will be based on V1.6. Note that the Lustre Roll will install Lustre

Hi, Assuming I have a time series on which I will perform rolling-window MLE. In other words, if I stand at time t, I'm using points t-L+1 to t for my MLE estimate of parameters at time t (here L is my rolling window width). Next, at t+1, I'll do the same. My question is that is there anyway to avoid performing MLE each time like does the above. My impre...

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I am pleased to announce general availability of the rolling builds for CentOS Linux. Todays release includes CentOS Linux 7 iso based install media and the generic cloud images. CentOS Linux rolling builds are point in time snapshot media rebuild from original release time, to include all updates pushed to mirror.centos.org's repositories. This include...

The CentOS Project is pleased to announce general availability of the 1507 rolling build ISO install based media for CentOS Linux 7. The rolling builds are a point in time snapshot of a given CentOS version including all updates on mirror.centos.org. This includes all all security, bugfix, enhancement and general updates for CentOS Linux, in this case they include updates up to...

Hi again, I am wondering there is any function for 'zoo' time series, where I can apply a user defined function rolling window basis, wherein window size is ever increasing i.e. not fixed. For example, let say I have below user defined function and a zoo time series : > library(zoo) > UDF = function(x) sum(x) > TS = zoo(rnorm(10), seq(as.Date('2017-01-01'), as.Date('2017-01-10'), by = ...

...;) > plot(x,type="l") > str(z) num [1:981] 6.31 7.28 8.16 7.39 4.65 ... > lines(c(rep(0,10),z,rep(0,10)),col="yellow",lwd=3) > lines(c(rep(0,10),z,rep(0,10))/length(y),col="red",lwd=3) #running mean You wrote: Does anyone know an easy way to calculate the rolling 20 period average or sum of a vector? For instance: x <- rnorm(1000) y <- apply.subset(x,20,fun="sum") The first element of y would contain the sum of elements 1 to 20, the second element of y would contain the sum of elements 2:21, and so on. I thought I had seen this on the l...

Hi all, I remember some asked a question on the same ( Icecast pre-roll playing every time user disconnects and connects back) and it is annoying. Any work around? Thanks Martin -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xiph.org/pipermail/icecast/attachments/20201120/fca5b81b/attachment.html>