search for: hibs

Hello all, I don't understand why this won't work. I have entered: WriteXLS(alldata,'test.xls') and I get this error message: Error in get(x, envir = envir) : variable names are limited to 256 bytes. My variable names are not very long, and are accepted by write.csv. alldata is a list containing 4 dataframes, with each dataframe having the the same variable names, which are:

Hi all, I've included an RFC for a heap profiler design I've been working on in conjunction with David Li. Please send any questions or feedback. For sanitizer folks, one area of feedback is on refactoring some of the *ASAN shadow setup code (see the Shadow Memory section). Thanks, Teresa RFC: Sanitizer-based Heap Profiler Summary This document provides an overview of an LLVM

On Sat, Jul 4, 2020 at 11:28 PM Wenlei He <wenlei at fb.com> wrote: > This sounds very useful. We’ve improved and used memoro > <https://www.youtube.com/watch?v=fm47XsATelI> for memory profiling and > analysis, and we are also looking for ways to leverage memory profile for > PGO/FDO. I think having a common profiling infrastructure for analysis > tooling as well as

Hi, Teresa, This looks really useful. It seems like this general infrastructure could be useful for diagnosing places where we have a lot of false sharing too. This could be between cores, sockets, or devices. Looking forward, especially with HMM and support under Linux for transparent unified memory between CPUs and accelerators, I anticipate we'll end up looking for places where some

On Wed, Jul 8, 2020 at 6:30 PM Kostya Serebryany <kcc at google.com> wrote: > > > On Wed, Jun 24, 2020 at 4:58 PM Teresa Johnson <tejohnson at google.com> > wrote: > >> Hi all, >> >> I've included an RFC for a heap profiler design I've been working on in >> conjunction with David Li. Please send any questions or feedback. For >>

...having trouble with them yesterday. I just downloaded R 2.13.0 this morning, and was able to make some pngs earlier this morning. Now I am trying to remake them, but get the same error message I got yesterday: > u='in' > w=10.5 > h=8 > png('winbugs changepoint graphs ind hibs gt 400 p%02d.png',height=h,width=w,res=300,units=u) Error in png("winbugs changepoint graphs ind hibs gt 400 p%02d.png", height = h, : unable to start png() device In addition: Warning messages: 1: In png("winbugs changepoint graphs ind hibs gt 400 p%02d.png", height = h,...

Hi, if i have data in the following time series format: time, amount, state 1 2222 A 1 333 B 2 45 A 2 77 B where states could be n and time periods t is there a package in R that would calculate the transition probabilities in a markov chain. for each t except t=0 to generate A B A B perhaps the best structure might

I have a really long functions, and at the end of the function, I am using a if statement to tag certain keywords based on whether they have certain values contained in them. However, the if statement doesn't seem to work. When I had split up the commands into various functions, it worked fine, but I'm not sure what going on now that it's combined into a single function. myfunc

Hello, I am having an issue with hangups being handled within Asterisk. Right now, when an inbound call hits the Asterisk box, Asterisk picks up the call just fine. When the caller enters an extension to call, the Asterisk dials out on Zap/3 and rings the extension with no problem. If the extension is answered, there is no problem. If the caller hang's up before the phone is answered,

Hello there, I have a problem concerning bootstrapping in R - especially focusing on the resampling part of it. I try to sum it up in a simplified way so that I would not confuse anybody. I have a small database consisting of 20 observations (basically numbers from 1 to 20, I mean: 1, 2, 3, 4, 5, ... 18, 19, 20). I would like to resample this database many times for the bootstrap process with

Hello, I am still researching my dive into Asterisk at my workplace, and I was wondering about how switchboard activities are handled.. Right now, a call comes into our switchboard, and the operator forwards them to the appropriate line, thus freeing up the primary number and allowing more calls in. Everyone on campus has a direct-dial line as it is right now. I want to eliminate most of

Hi again, I'd like to ask you a question again. I have a matrix like this: a <-matrix(c(1,2,3,4,5,6,7,8,9,10,11,12)) a [,1] [1,] 1 [2,] 2 [3,] 3 [4,] 4 [5,] 5 [6,] 6 [7,] 7 [8,] 8 [9,] 9 [10,] 10 [11,] 11 [12,] 12 Is there a proper way to change the dimensions of this matrix so that I'll get this as a result: [,1] [,2] [,3] [1,]

Hello everybody, I have a little problem in good old R. It is basically the following. I have this small database with 3 rows and the following columns: d1, d2, d3 and Highest d value - which selects the highest value from d1, d2, d3 in each row. d1 d2 d3 Highest d value 1 51.398426 39.111721 11.6086220 51.398426 2 4.057801

Hello everyone, I'd like to ask you a question again, basically focusing on referring to different objects. Let's suppose we create the following databases this way: id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3) b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2) c

Hello everyone, I'd like to ask you a question again, basically focusing on referring to different objects. Let's suppose we create the following databases this way: id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3) b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2) c

Hi there, I have a huge dataframe containing 70,000 observations. I have filtered this dataframe (let it's name be "transformed_dataframe") as I wanted to select only those observations which are greater than or equal to 60,001 regarding the very first identity column. So I have a transformed dataframe now including 10,000 obeservations (from 60,001 - to 70,000) and if you send

Hello everybody, I have a data frame in R which is similar to the follows. Actually my real 'df' dataframe is much bigger than this one here but I really do not want to confuse anybody so that is why I try to simplify things as much as possible. So here's the data frame. id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a

Hi, I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function. I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database: id

Hello, I''m attempting to boot Xen 4.0.1 on a SuperMicro H8DGi-F motherboard and having not much luck. I can boot the 2.6.32.26 (or .27) kernels alone, but when I add Xen into the mix, I get consistent boot failure. I''ve tried Xen 4.0.1-release, 4.0.2-rc1-pre and 4.0.2-rc2-pre, all get the same failure. xen/next-2.6.37 works and boots great, but since netback isn''t

Hello there, I don't know if I'm addressing my question to the right e-mail address, I hope I do. Actually I have a little problem concerning writing a code in R. I try to briefly sum up my problem. As you can see below, I created the functions "Equation1" and "Equation2" with some conditions. Equation1 <-function(x){ if