search for: standards

I am trying to install asterisk on fedora core 3 these are the steps i took: 1. download asterisk-1.0.7.tar.gz 2. make clean and make install and then it gives me these errors: "{standard input}:9975: Error: symbol `i' is already defined {standard input}:9978: Error: symbol `__result' is already defined {standard input}:9979: Error: symbol `__result' is already defined {standard

> Hi all, > I am using Mac OSx 10.4.8, I installed X11 and ran clock.exe and > notepad.exe. > Darwine terminated on an > error with the following log warning reports. All these seems font > issues except at the end but this may be a result of the warnings. > I was > not able to find the fonts with warning in the AFM list in order to > download them. Is there a way

Hello, I am having trouble with wine and midi, and also the new winecfg vs config file setup. I have looked through old emails faqs etc and on frank's corner but nothing seems to be able to get the midi output out of wine and onwards towards my soundcard. The program I am having trouble with is called Power tab. I am running 'timidity -iA' with a GM soundfont and confirm that

> -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch [SMTP:r-help-bounces at stat.math.ethz.ch] On Behalf Of Mark Miller > Sent: Thursday, November 17, 2005 10:16 AM > To: r-help at stat.math.ethz.ch > Subject: [R] Standard Error > > I have worked out that when I fit data I get an estimate and a standard error, > but all the definitions I can find

I did find a say to get to the directory holding wpwin9 and it strarted but then froze with the splash screen. Not sure how to get the error message in here; seems to have to do with the keyboard and X11driver; hope I am abusing this bulletin board, but I am hoping someone can help me with the next step. Thanks

Using ranef() (package nlme, version 3.1-75) with an 'lme' object I can obtain random effects for intercept and slope of a certain level (say: 1) - this corresponds to (say level 1) "residuals" in MLWin. Maybe I'm mistaken here, but the results are identical. However, if I try to get the standardized random effects adding the paramter "standard=T" to the

Dear R users, This is more a statistical question rather than an R question. I'd appreciate it if you can give me some suggestions. I have a sample of a time series (sample size 500, fat tail in density). I am trying to calculate the Standard error of standard deviation of a sub-block-sample (sample size 250). I take 100 this kind of sub-block-sample, randomly. For these 100 subsamples, I

./tools/makedep -C. -S. -T. make[1]: `makedep' is up to date. make[2]: Nothing to be done for `all'. gcc -c -I. -I. -I../../include -I../../include -D__WINESRC__ -DWINE_UNICODE_API="" -D_REENTRANT -fPIC -Wall -pipe -fno-strict-aliasing -Wdeclaration-after-statement -Wwrite-strings -Wpointer-arith -g -O2 -D__powerpc__ -o port.o port.c {standard

(Either this was too hard for the folks on -questions, or it was out of place there, or I'm not providing the right kind of info or... I'm open to suggestions.) At this stage I'd approach bliss if someone could even tell me how to make bind forget that IPv6 exists, and therefore stop hammering these queries at an apparently unsympathetic NT DNS server. Two affected

...250 estimates of \mu and \beta. I take the standard deviation of these estimates to get the sampling distribution of the parameter (standard errors). Next, I take a single data set, contaminate the scores, and then use the analytical approach to obtain standard errors. So, I end up with two sets of standards errors, those obtained under simulated conditions and those obtained from the analytical model. My question is what are the most acceptable techniques for comparing the standard errors in order to say that the analytical approach actually "recovers" the monte carlo standard errors? For t...

Hi everyone, I searched previous postings and I couldn't find a definitive answer on this.. I run a small lab of RHEL/Centos Based servers on which there's VMWare Workstation running on a non-standard port but still manageable by tools like VMrun (and the Fusion of Workstation GUI, of course). I'm trying to use virsh with this setup and getting the following error from both

...t; This is somewhat confusing to me. That's a reason to support *at > least* C11. It doesn't seem like a reason to not support the latest C > standard. > >> 2. C11 is sufficiently modern while not closing doors for users >> requiring compliance with an "older" standards. That said, we could >> choose not to implement certain items removed in the C17 standard. An >> obvious example of such a candidate is `gets`. > gets() was removed in C11. ;-) > > I strongly think we should support the C17 standard library. C17 was a > bugfix release, so th...

...t *at > > > least* C11. It doesn't seem like a reason to not support the latest C > > > standard. > > I think there is some misunderstanding here. My first message said > llvm-libc will target C11 __and above__. Which is to imply that the > lower bound of supported standards is C11. > > > On Mon, Jul 15, 2019 at 11:31 AM Finkel, Hal J. <hfinkel at anl.gov> wrote: > > +1. Aiming for C17 seems better than aiming for only C11. > > I interpreted Aaron Ballman's first question as, "why is the lower > bound C11 and not C17?" I answ...

Here is code in form.html.erb for partial view. Local var :sid was defined as the id of the record and it should be passed into the partial view standards.html.erb as a local var. <% @rfq.standards.each do |r| %> <p><%= render :partial => ''standards'', :locals => { :f => f, :sid => r.id } %></p> <% end %> Here is the standards partial view: <%= f.association :s...

Hi all, First off, thank you for the overwhelming response last time. I'm still trying to figure out the syntax of R to plot some distributions of some frequencies. I've managed to plot histograms from the data, but I would like to clean it up using xyplot from library(lattice). Unfortunately I cannot find a solution to my problem. Given a dataframe "all2", with numerical

Hi, I am currently working with the sem package in R, to create pathway diagrams. Id like to use the standardized path coeffcients. To get these, I use std.coef. However, using this yields only the standardized coefficients, but does not give me the standard error. Does someone know how to get std.coef to show the standard error of the standardized path coefficients as well? Thanks, Bastiaan

So, I have a test domain set up with rfc2307 = yes . Now I'm trying to figure out if a) my nfs automount data came over from OpenLDAP, and b) if not, how to get it into samba 4's ldap, or something else??? Do I need to rethink my approach? Mount locations are pretty consistent based on primary group/userid Needs to work on Linux. Existing entries look like this... # /u,

Simple question. For a simple linear regression, I obtained the "standard error of predicted means", for both a confidence and prediction interval: x<-1:15 y<-x + rnorm(n=15) model<-lm(y~x) predict.lm(model,newdata=data.frame(x=c(10,20)),se.fit=T,interval="confidence")$se.fit 1 2 0.2708064 0.7254615

I have a graph of residuals and I am attempting to get a list of the indexes of each time the residual is greater than 2 standard deviations or less than -2 standard deviations, but only the first point of the section. And then I'd also need the first point where the point returns to the range between +/- 2 standard deviations. So basically if my standard deviation=1 and my residuals=c(1, 2.1,

Dear R Help folks -- I have been trying to put together a list of the steps or stages of R function evaluation, with particular focus on those that have "standard" or "nonstandard" forms. This is both for my own edification and also because I am thinking of joining the world of R bloggers and have been trying to put together some draft posting that might be useful. I seem to