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>>>>> Hilmar Berger >>>>> on Sat, 14 Sep 2019 13:31:27 +0200 writes: > Dear all, > I did some more tests regarding the == operator in Ops.data.frame (see > below).? All tests done in R 3.6.1 (x86_64-w64-mingw32). > I find that errors are thrown also when comparing a zero length > data.frame to atomic objects with length>0

Hi, When implementing click2dial feature, I can trigger an Aastra phone to auto-answer using statement like : SIPAddHeader(Alert-Info: info=alert-autoanswer); This is very convenient when trying to reach a distant party (ie through PSTN) The trouble is when 2 Aastra are calling each other over the LAN, this single statement is memorized somehow and both phones (caller and callee) auto-answer.

Hi everyone I’m building an Asterisk 16/PJSIP server and my dialplan uses SIPAddHeader & SIPRemoveHeader but the apps don’t appear to be installed in v16. Can anyone tell me where they went and how to get them installed please? Thanks Mark. Mark Farmer Senior UC Systems Architect Intercity Technology Limited HQ 101-114 Holloway Head, Birmingham, B1 1QP Tel: 0330 332 7933 / 07872542107 /

Hi, We have a number of 4200''s setup using a combination of an SVM 4 way mirror and a ZFS raidz stripe. Each disk (of 4) is divided up like this / 6GB UFS s0 Swap 8GB s1 /var 6GB UFS s3 Metadb 50MB UFS s4 /data 48GB ZFS s5 For SVM we do a 4 way mirror on /,swap, and /var So we have 3 SVM mirrors d0=root (sub mirrors d10, d20, d30, d40) d1=swap (sub mirrors d11, d21,d31,d41)

2 Days Beijing Will Tour Beijing Tour Cope Beijing city with development history over 3000 years carries grouped t(blank) Beijing development Beijing city with development history over 3000 yrs has clustered that has a surplus of Beijing Attractions. Regardless of what befits you on Chinese cultural heritages, purely natural sceneries, parks and gardens, modern landmarks or traditional

Hi list, My need is to append a site specific parameter to the Contact: header on all INVITEs exiting * via a SIP trunk. I'd like it to look something like this: Contact: <bob:3125551212 at 10.10.10.10;SITE-ID=us.here> where SITE-ID=us.here is set in a config file that * parses on startup. Or in a Dial() command option? Or I don't care exactly how. :-) It is possible to

Thank you, your suggestion is simpler and logically better. I had impression that the last object in a function gets returned, so I did not add the print function at the bottom line of the function definition. Returning an object and graph the object are different process, I am a beginner for writing R function and need to find a good guide source about writing R functions. If you know a good

On 9/25/19 7:30 AM, Pete Biggs wrote: > >> I am guessing that because CentOS releases only every 3-5 years, >> people forget how much work is done at the beginning of every release. >> First there is a lack of packages available. Then there is the >> complaining that the OS is useless because it doesn't have ABC. Then >> there is finding the people who are

I'm writing a function and keep getting the following error message. myfunc <- function(lst) { lst <- list(roots = c("car insurance", "auto insurance"), roots2 = c("insurance"), prefix = c("cheap", "budget"), prefix2 = c("low cost"), suffix = c("quote", "quotes"), suffix2 = c("rate",

> On Mar 5, 2018, at 8:52 AM, Ding, Yuan Chun <ycding at coh.org> wrote: > > Hi Bert, > > I am very sorry to bother you again. > > For the following question, as you suggested, I posted it in both Biostars website and stackexchange website, so far no reply. > > I really hope that you can do me a great favor to share your points about how to explain the

Hi Rui, You are always very helpful!! Thank you, I just modified your R codes to remove a row with zero values in both column pair as below for my real data. Ding dat<-gene22mut.coded r <- P <- matrix(NA, nrow = 22L, ncol = 22L, dimnames = list(names(dat), names(dat))) for(i in 1:22) { #i=1 x <- dat[[i]] for(j in (1:22)) { #j=2 if(i == j) { #

Hi, This is the first time I've posted, and I apologize if I formulate this incorrectly. I am analyzing data from a multi-region carrot variety trial. 35 varieties of carrots were grown in 3 randomized complete blocks in organic and conventional fields in Wisconsin, Indiana, Washington, and California. In this example I am comparing the heights of the carrot tops at harvest. In other

Dear llvm-dev, After the first successful LLVM developers/users meeting in Google Australia, we (together with Jingling and Dean) will hold our second Sydney LLVM meeting in UNSW, Australia. Here are the details: Date Monday 5th of December 2016 Time 17:30 - 20:00 Location CSE Seminar Room (K17_113) (UNSW Map <http://www.cse.unsw.edu.au/about-us/contact-us/unsw-map/>) We hope to

Dear llvm-dev, After the first successful LLVM developers/users meeting in Google Australia, we (together with Jingling and Dean) will hold our second Sydney LLVM meeting in UNSW, Australia. Here are the details: Date Monday 5th of December 2016 Time 17:30 - 20:00 Location CSE Seminar Room (K17_113) (UNSW Map <http://www.cse.unsw.edu.au/about-us/contact-us/unsw-map/>) We hope to

Hi, Stefan, Thanks for your reply. " SipRemoveHeader " is a good application to remove the header added by "SipAddHeader" application. If the header is included in the receiving message by Asterisk(not added by "SipAddHeader"), can it be removed?

?s 20:47 de 25/07/2024, Yuan Chun Ding escreveu: > Hi Rui, > > You are always very helpful!! Thank you, > > I just modified your R codes to remove a row with zero values in both column pair as below for my real data. > > Ding > > dat<-gene22mut.coded > r <- P <- matrix(NA, nrow = 22L, ncol = 22L, > dimnames = list(names(dat),

Hi Rui, Thank you very much! Yes, I verified using real data, it worked correctly as expected after adding tidyr:: to the pivot_longer function and dplyr:: to the group_by and summarize Function. I did not know how to assign the tidyr and dplyr to the three functions because I do not really understand well the three functions and just got the code from a google search. I also tried your

Sarah's solutions are good, and here's another, even more basic: tmp1 <- unique(dat1$B) tmp2 <- seq_along(tmp1) dat1$C <- tmp2[ match( dat1$B, tmp1) ] > dat1 N B C 1 1 29_log 1 2 2 29_log 1 3 3 29_log 1 4 4 27_cat 2 5 5 27_cat 2 6 6 1_log 3 7 7 1_log 3 8 8 1_log 3 9 9 1_log 3 10 10 1_log 3 11 11 3_cat 4 12 12 3_cat 4 As a single line

That is certainly OK, but you can also just use print(ggsurvplot(...)) as your final statement. out <- RFS( ...) would then return the ggsurvplot object *and* graph it. Any good R tutorial or a web search will provide more details on function returns, which you might find useful. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and

> On Mar 5, 2018, at 3:04 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > But of course the whole point of additivity is to decompose the combined effect as the sum of individual effects. Agreed. Furthermore your encoding of the treatment assignments has the advantage that the default treatment contrast for A+B will have a statistical estimate associated with it. That was a