search for: m12

...has odd outputs -- and I wonder if the problems are related. My configuration has Asterisk and a Linphone softphone running on the same box. I have a PC, and on that PC I use X-Lite or SJPhone to connect to the Linphone instance. When I call from the PC to Linphone: * I call from the PC (user m12) to Linphone (usr m4), which rings * I answer on Linphone * Asterisk attempts to set up a talk path. Here's the output from Asterisk, with Linphone (m4) connecting to the PC (m12): > -- Called m4 > -- SIP/m4-8f2b is ringing > -- Registered SIP 'm12' at 172.28.54...

...o select more than one element > do.call("merge", list(myl[[1]], myl[[-1]], by="id", all=TRUE)) Error in do.call("merge", list(myl[[1]], myl[[-1]], by = "id", all = TRUE)) : attempt to select more than one element i can do the merge sequentially, e.g. m12 <- merge(myl[[1]], myl[[2]], ...) m123 <- merge(m12, myl[[3]], ...) but (a) in my actual example i have up to q7, and (b) this looks very clumsy, even if i wrapped it inside a do loop. i'd appreciate any help. alejandro

Hi, I'm new to programming, new to R and even new to mailing lists so please be patient with me. I need to manage many matrices generated by an R program. These matrices have different dimensions and I'd like to group them somehow. The best way would be to have a big matrix (let's call it database) where every element database[x,y] consists of a list of matrices that all have the

...80 10 0 556 M11 MT2 MT 180 10 1 557 M11 MT2 MT 180 10 1 558 M11 MT2 MT 180 10 0 559 M11 MT2 MT 180 10 0 560 M11 MT2 MT 180 10 0 561 M11 MT2 MT 180 10 0 562 M11 MT2 MT 180 10 0 563 M11 MT2 MT 180 10 0 564 M11 MT2 MT 180 10 0 565 M11 MT2 MT 180 10 0 566 M11 MT2 MT 180 10 0 567 M11 MT2 MT 180 10 0 568 M12 MT2 MT 180 10 1 569 M12 MT2 MT 180 10 1 570 M12 MT2 MT 180 10 1 571 M12 MT2 MT 180 10 1 572 M12 MT2 MT 180 10 1 573 M12 MT2 MT 180 10 1 574 M12 MT2 MT 180 10 1 575 M12 MT2 MT 180 10 1 576 M12 MT2 MT 180 10 1 577 M12 MT2 MT 180 10 0 578 M13 MT2 MT 180 10 1 579 M13 MT2 MT 180 10 1 580 M13 MT2 MT 180...

Dear useRs, i want to open an excel file having 59 sheets in r and GOD knows the number of command i tried. unfortunately none worked, obviously error will be on my part. All the sheets contain 1 kind of data and the data starts from A12:M12 (which contains the header of the data), the line immediately under the header is blank. The number of columns of data in each sheet are same while the number of row are different as length of data is different. you help is required.. regardseliza [[alternative HTML version deleted]]

...) abline(h=0.05) # I can know which observation number is less than 0.05 which (dataf$p < 0.05) [1] 12 20 80 269 272 338 366 368 397 403 432 453 494 543 592 691 723 789 811 [20] 854 891 931 955 I want to display (label) corresponding names on the plot above: means that 12th observation M12, 20th observation M20 and so on. Please note that I have names not in numerical sequience (rather different names), just provided for this example to create dataset easily. Thanks in advance Umesh R [[alternative HTML version deleted]]

I just downloaded the latest CVS. RTP streams from a X-Lite on a PC, to the Linux box running Asterisk and Linphone, seem to connect: > -- Called m4 > -- SIP/m4-dd8f is ringing > -- SIP/m4-dd8f answered SIP/m12-3649 > -- Attempting native bridge of SIP/m12-3649 and SIP/m4-dd8f But then Linphone sends an endless stream of complaints: > (linphone:20223): oRTP-WARNING **: Error sending rtp packet: Connection refused. This is new behavior... not to say that X-Lite and Asterisk ever successfully...

...t;a","b","c") > n1 <- c(0, 1, 2) > v2 <- c("c", "a", "b") > n2 <- c(0, 1 , 2) > (f1 <- data.frame(v1, n1)) v1 n1 1 a 0 2 b 1 3 c 2 > (f2 <- data.frame(v2, n2)) v2 n2 1 c 0 2 a 1 3 b 2 > (m12 <- merge(f1, f2, by.x = "v1", by.y = "v2", sort = F)) v1 n1 n2 1 c 2 0 2 a 0 1 3 b 1 2 Now to my data: > summary(pL) pairL a fondo : 41 alto : 41 ampio : 41 angoloso : 41 aperto : 41 appoggiato: 41 (Other) :1271 > pL$pairL...

...n): ################################# Start R session: > library(survival) > ## Here are 2 calls with different pairs of variables, both of which yield warnings: > qq <- FitModels(vnames=c("acd11apcd3p","drpcd8p"),dframe="ALLmth12",survname="fail tm12", censname="failcens") Warning message: Loglik converged before variable 2 ; beta may be infinite. in: fitter(X, Y, strats, offset, init, control, weights = weights, > ## warnings are just warnings when options()$warn=0: > lapply(qq,class) $cph.x1x2 [1] "coxph"...

I need use different parameters of distribution for different case to generate random value, but I use ifelse, the generated value is fixed without change. Here is example data1 y x 1 1 2 2 2 1 3 3 2 4 4 3 5 5 3 6 6 1 7 7 2 8 8 1 9 9 1 10 10 3 11 11 3 12 12 2 ifelse(data1$x==1,rnorm(1,2,1),ifelse(data1$x==2,rnorm(1,-2,1),rnorm(1,110,1))) [1] -1.8042172 0.8478681

Hi, I'm new at this, I'm very confused, and I think I'm missing something important here. In our pet example we have this: > fm <- lme(Orthodont) > plot(Orthodont) > plot(augPred(fm, level = 0:1)) which gives us a trellis plot with the females above the males, starting with "F03", "F04", "F11", "F06", etc. I thought the point of

Hello All. Below are some compile times for 2.6.20 on an fx-62 running Centos64 with various 2 gig sticks of dual channel ram (See previous posts with subject of 'segfaults with 8gig of ram' for more details.) It seems dual channel will compile a kernel faster, but only gained around 30 seconds over 20 minutes. Below are the shortest/longest compile times of several compiles done over the

Good morning to you all, I have a problem with a set of matrices that I want to compare. I want to see the similarity between them, and to be able to extract the differences between them. They have all the same number of columns and rows, and correspond presence absence data: for example: m1 <- matrix(c(1,0,0,0,1,0,1,1,1,1,1,1), 3,4) m2 <- matrix(c(1,0,1,0,1,0,0,1,0,1,0,1), 3,4) I

...06/2007 LoughNavar 1 LN27 FALSE 0 A 0 0 0 0 0 0 0 1 16.90 95 18/06/2007 LoughNavar 1 LN34 FALSE 0 J 0 0 0 0 0 0 1 2 9.38 96 11/07/2007 Mt.Stewart 0 M10 FALSE 0 J 0 0 0 0 0 0 0 2 12.52 97 11/07/2007 Mt.Stewart 0 M12 FALSE 0 A 0 0 0 0 0 0 0 6 16.18 98 11/07/2007 Mt.Stewart 0 M3 FALSE 0 J 0 0 0 0 0 0 0 5 11.42 99 15/05/2007 Randalstown 1 R1 FALSE 0 A 0 0 0 4 44 0 4 0 15.72 100 11/06/2007 Randalstown 1 R19 FALSE 0 A 0 0...

What headsets have people found work well with the Cisco 7940 and 7960 phones? To date, I have tried a couple of the headsets within the Plantronics H series (H41-N), and noticed that the volume of my speaking is lower over the headset than on the regular handset. I am currently looking for headsets that are known to work well. I do know that Cisco lists the H-91 and H-101 as certified to

...metadata !{metadata [[M1:![0-9]*]], metadata [[M2:![0-9]*]], metadata [[M3:![0-9]*]], metadata [[M4:![0-9]*]], metadata [[M5:![0-9]*]], metadata [[M6:![0-9]*]], metadata [[M7:![0-9]*]], metadata [[M8:![0-9]*]], metadata [[M9:![0-9]*]], metadata [[M10:![0-9]*]], metadata [[M11:![0-9]*]], metadata [[M12:![0-9]*]]} // CHECK: [[M1]] = metadata !{i32 {{[0-9]*}}, metadata [[CTXT]], metadata [[NS]], i32 11} ; [ DW_TAG_imported_module ] -// CHECK: [[M2]] = metadata !{i32 {{[0-9]*}}, metadata [[CU]], metadata [[CTXT]], i32 {{[0-9]*}}} ; [ DW_TAG_imported_module ] -// CHECK: [[M3]] = metadata !{i32 {{[0-...

...@("!F:0H@("`@3$]#2T5$ M/7EE<PH@("`@<FT at +68@(B1414U03$]#2R(*?0H*"G1R>5]C;VYN96-T*"D@ M>PH@("`@9&%T92`^(B1435!&24Q%(@H@("`@=&EM96]U="`B)%1)345/550B M("(D4TU"0TQ)14Y4(B`M="(D5$E-14]55"(@+6U334(S("U!(B1!551(1DE, M12(@+6-Q("(D,2(@/CXB)%1-4$9)3$4B(#(^)C$*("`@(%)#/2(D/R(*("`@ M(&EF(%L@)%)#("$](#`@73L@=&AE;@H@("`@("`@(&EF(%L@)%9%4D)/4T4@ M/2!Y97, at 73L@=&AE;@H@("`@("`@("`@("!I9B!;("120R`](#$R-"!=.R!T M:&5N"B`@("`@("`@(&...

...) abline(h=0.05) # I can know which observation number is less than 0.05 which (dataf$p < 0.05) [1] 12 20 80 269 272 338 366 368 397 403 432 453 494 543 592 691 723 789 811 [20] 854 891 931 955 I want to display (label) corresponding names on the plot above: means that 12th observation M12, 20th observation M20 and so on. Please note that I have names not in numerical sequience (rather different names), just provided for this example to create dataset easily. Thanks in advance Umesh R [[alternative HTML version deleted]]

...nd I am always worried that I am missing models or have made a mistake somewhere. It is also difficult to alter models if I want to change a term. For example, below are the set of models I would like to run. Is there a way to specify the full model and have R generate the rest? I.e. specify m1234567<-glm.convert(glm.nb(mantas~site*year+cosmonth+sinmonth+coslunar+sinlunar+plankton, data=mydata)) and have R run all the other models. library(MASS) #Intercept only m0<-glm.convert(glm.nb(mantas~1,data=mydata)) #One term - 7 models #Manta abundance is greater at one of the two s...

All, using Samba as an AD (2k12) domain member in Stretch (2:4.5.12+dfsg-2+deb9u4) with tdb as default and rid as domain backend. No overlapping. Everything works fine. Setup was done as in the wiki [1]. If you're connecting from a Windows 10 client and do not add dedicated keytab file = /etc/krb5.keytab kerberos method = secrets and keytab winbind refresh tickets = Yes to