similar to: Problems on testing moderating effect (or interactive effect).

Hi I think a part of your story was not clear : - You talk about an "upgrade" , it's an upgrade of icecast ? the OS icecast is running on ? Your HTML5 web player ? <-----------------------------------------------------------------------------------------------------------> web perso : http://memeteau.org <xmpp%3Afreechelmi at jabber.fr> 2013/2/26 Judd, Taylor

The problem is not icecast streaming, its trying to stream through a browser. It is very complicated to do. Each browser has it quirks depending on OS, version and what other audio programs that are installed. Having the external player link should resolve the issues. We gotten from using a browser player to letting the customer choose there fave audio player to use :) Even this has cause

I want to make a graph where each element plotted is itself a graph. I can see how to use par(fig=) and viewport to do that, but they require (i think) me to do my own scaling as they are scaled to the graphics window. any advice on which approach I should take (just bite the bullet and do my own scaling), or is there something else I should try, or any examples I should look at. many thanks

I'm following up on a thread started by Stephen a couple months ago about building a JavaScript source client using webrtc. The first step suggested was to figure out how to mux the audio and video. After I posted a feature request on the webrtc experiment js library, we seem to have a solution: https://github.com/muaz-khan/WebRTC-Experiment/issues/28#issuecomment-20791759 Based on the last

On Fri, Mar 03, 2017 at 07:49:46PM -0500, Gene Cumm wrote: > On Tue, Feb 28, 2017 at 4:19 PM, Geert Stappers wrote: > > > > It is not important how long I have been moderator for this mailinglist. > > Thing is that I'm thinking about stepping back. > > > } Who would like to help the Syslinux project by moderating this ML? > > I'm willing to help with

Hi I am trying to create a loop which averages replicates in my data. The original data has many rows. and consists of 40 column zz[,2:41] plus row headings in zz[,1] I am trying to average each set of values (i.e. zz[1,2:3] averaged and placed in average_value[1,2] and so on. below is my script but it seems to be stuck in an endless loop Any suggestions?? for (i in 1:length(average_value[,1])) {

2013/2/26 Judd, Taylor Allen <tjudd at illinois.edu> > > > I was reaching out to the icecast community because as Linux and server > people, I find the best answers with these types of groups. Sorry for not > being clear about this in the initial posting. **** > > > No problem, I wasn't sure about the evolution of the setup. So yes the main problem you have here

Hi, It is not important how long I have been moderator for this mailinglist. Thing is that I'm thinking about stepping back. How would like to help the Syslinux project by moderating this ML? Groeten Geert Stappers -- Leven en laten leven ------------- volgend deel ------------ Een niet-tekst bijlage is gescrubt... Naam: signature.asc Type: application/pgp-signature Grootte: 836 bytes

Five years after initially posting to this list[0], I finally completed as browser-based video source client iceast. The code is here: https://gitlab.com/jamie/icecream As Romain Beauxis responded to my initial email, webrtc was unsuitable and websockets was the way to go. Thanks for the help! jamie 0. http://lists.xiph.org/pipermail/icecast-dev/2013-July/002223.html -- May First/People Link

--- On Fri, 15/5/09, Amit Patel <amitrhelp at yahoo.co.uk> wrote: > From: Amit Patel <amitrhelp at yahoo.co.uk> > Subject: Help with loops > To: r-help at r-project.org > Date: Friday, 15 May, 2009, 12:17 PM > Hi > I am trying to create a loop which averages replicates in > my data. > The original data has many rows. and consists of 40 column > zz[,2:41]

Hi, May be this helps: ?set.seed(24) ?mydata4<- as.data.frame(matrix(sample(1:100,10*38,replace=TRUE),ncol=38)) ?dim(mydata4) #[1] 10 38 ?library(matrixStats) res<-do.call(cbind,lapply(1:400, function(i) {permutation<-sample(mydata4); (rowMeans(permutation[,1:27])-rowMeans(permutation[,28:38]))/(rowSds(permutation[,1:27])+rowSds(permutation[,28:38]))} )) ?dim(res) #[1]? 10 400 A.K.

Hi, I think the time (150 messages and counting) has come to ask someone of the CentOS team to start moderating this list. I don't mind people discussing whatever topic they like, but not at the expense of the mailinglist and its members. I don't think the topic really doesn't matter in these discussions, and if done in private they would stand for long anyway. I would propose

Hi, I help run an NPR/PBS station. We were running ice cast before our most recent upgrade. However after the upgrade we have now been receiving sporadic reports of people being unable to connect. The only confirmed issue is with Saffari on Windows. We are working on that specific one. But I've also received sporadic reports from users on chrome, firefox, mac, and windows and various other

Hi all, I have a matrix called 'data', which looks like: > data[1:4,1:4] Probe_ID Gene_Symbol M1601 M1602 1 A_23_P105862 13CDNA73 -1.6 0.16 2 A_23_P76435 15E1.2 0.18 0.59 3 A_24_P402115 15E1.2 1.63 -0.62 4 A_32_P227764 15E1.2 -0.76 -0.42 > dim(data) [1]

Hello! I have a dataset like this: X1 X2 X3 X4 X5 X6 X7 X8 1 2 2 1 2 3 2 6 2 3 2 5 7 9 1 3 1 9 12 6 1 1 3 6 The columns X1-X6 contains ordinary numeric values. X7 contains the number of the first column that the rowMeans should be calculated from and X8 contains the last column

Hello, I am trying to create parcels for a CFA model. I am trying to average 6 sets of 3 variables each into parcels. I don't understand why I am getting an error message as follows: Thanks for your help, Catherine atds1par <- rowMeans(semHW1dat1[, c("atds1", "atds2", "atds3")], na.rm=TRUE) atds2par <- rowMeans(semHW1dat1[, c("atds4",

I would like to calculate the mean of tree leader increment growth over 5 years (I1 through I5) where each tree is a row and each row has 5 columns. So far I have achieved this using rowMeans when all columns are numeric type and used in the calculation: Data1 <- data.frame(cbind(I1 = 3, I2 = c(0,3:1, 2:5,NA), I3 =c(1:4,NA,5:2),I4=2,I5=3)) Data1 Data1$mean_5 <- rowMeans(Data1, na.rm =T)

In R 3.3.3, I observe the following on Ubuntu 16.04 (when building from source as well as for the sudo apt r-base build): > x <- c(NA, NaN) > mean(x) [1] NA > mean(rev(x)) [1] NaN > rowMeans(matrix(x, nrow = 1, ncol = 2)) [1] NA > rowMeans(matrix(rev(x), nrow = 1, ncol = 2)) [1] NaN > .rowMeans(x, m = 1, n = 2) [1] NA > .rowMeans(rev(x), m = 1, n = 2) [1] NaN >

On 12/02/15 16:51, Brian Mathis wrote: > Thanks for putting in the effort here. It's never a good situation to have > to moderate, but sometimes it is necessary. > > From my perspective, this kind of thing happens far more often than the > current example, though maybe not with such intensity. This situation A large part of this is that some of the regular people are now

Hello, I have some dataset, which i read it from external file using the (data <- read.csv("my file location")) and read as a dataframe > is(data) [1] "data.frame" "list" "oldClass" "vector" but i have also converted this into a matrix and tried to apply my code but didnt work. Anyways, suppose i have the following data.