similar to: Search list of elements for a specific pattern

Hello everybody, I'm developing the www.polyxmass.org (GNU polyxmass) program that is a polymer sequence editor (a polymer is a thread made of concatenated monomers). I would like to code a "self-speak-out" feature for that sequence editor: the user would select a sequence region and ask that the program would "dictate" the sequence. For example, the following could be

Hello! I need help (but who doesn's huh? :-) ) I meant to run one program - Money2000 (no, it is _not_ program from Microsoft) together with samba on linux, but i have problems with oplocks. This program is installed locally on win9x/NT and shares its databases. We tried to place databases on novell, on NT server and on win95 acting as server and everything worked fine. But when we tried

Hi, I am trying to process genomics data and the presence of both characters and integers in an array is giving issues. The following is an example: > a<-array(c(2,2,"X",1:3,2:4),dim=c(3,3)) > b<-cbind(a[,1],a[,2]) With the output being: [,1] [,2] [1,] "2" "1" [2,] "2" "2" [3,] "X" "3" Is there any

R gurus, I have a data set that looks something like this: Site Species DBH #Vines G PLOC 45.9 4 G ACNE 23.3 1 G ACNE 12.0 0 G FRAM 35.9 5 G AEGL 11.2 2 N PLOC 77.3 12 N JUNI 78.6 7 N ACNE 18.9 1 N ACNE 15.7 3 N ACRU 35.5 4 H ACSA2 24.1 6 H ULAM 35.2 7 There are 730 individual trees (22 species) from four sites in the actual data set. I would like to create a second data frame that

Hi I have a large data frame of the form: a 1 b 2 c 3 And I would like to split this data frame into two separate data frames based on the values in the first column, e.g. a 1 b 2 and c 3 Is there any way of doing this without having to write a different "which" statement for each value in column 1 and then doing an "rbind" at the end? I tried using an if/else

Hi, I have a data frame of about 700 000 rows which look something like this: Date Temperature Category 2007102 16 A 2007102 17 B 2007102 18 C but need it to be: Date TemperatureA TemperatureB TemperatureC 2007102 16 17 18 Any suggestions? /Angelica -- View this message

Hello, I've written a small function that's supposed to save me some time, and it's ending up killing it- the intention is to iteratively subset a dataset fram on framevec, fit a model (either lm or nls depending on type) and return the r2 or AIC from the model, respectively. Although as far as I can tell in my code the plots are dependent on the fit of the model to the data and the

I have a data frame with two columns, one of which is a factor (Species) and the other is numeric (BA, which stands for basal area). Here's a sample: Species BA ACSA 55.7632696 FRAM 122.9933524 ACSA 67.54424205 ACSA 89.22123136 ACSA 82.46680716 ACSA 22.46238747 ACSA 19.94911335 ACSA 20.42035225 ACSA 19.00663555 ACSA 21.67698931 ACSA 57.80530483 ACSA 30.31636911 Dead 43.98229715 Dead

In BPF, an ADD instruction is defined as a 2 register instruction: 0x0f. add dst, src. dst += src In BPFInstrInfo.td this kind of ALU instruction is defined with: def _rr : ALU_RR<BPF_ALU64, Opc, (outs GPR:$dst), (ins GPR:$src2, GPR:$src), "$dst "#OpcodeStr#" $src", [(set

I've been experimenting with llvm/clang as a user for a while now, but now I'm interested in writing my own backend. I'm also developing the target architecture (maybe to go in an fpga eventually) and I'm intentionally making it extremely simple. I think of it as a narrow microcode, because (for example) performing an add requires a sequence of instructions like: set aluin1 = r1

On 25 March 2016 at 04:11, Hal Finkel <hfinkel at anl.gov> wrote: > As I understand it, the fundamental property being addresses here is: Are the semantics of scalar FP math the same as vector FP math? TTI seems like a good place to expose that information. If the semantics are indeed different, then the vectorizer would require fast-math flags in order to vectorize FP operations

5-nodes server and 1 node client are connected by gigabits Ethernet. #] iozone -r 32k -r 512k -s 8G KB reclen write rewrite read reread read write read rewrite read fwrite frewrite fread freread 8388608 32 10559 9792 62435 62260 8388608 512 63012 63409 63409 63138 It seems 32k write/rewrite performance are very

elbert at host1:~$ dpkg -l|grep glusterfs ii glusterfs-client 1.3.8-0pre2 GlusterFS fuse client ii glusterfs-server 1.3.8-0pre2 GlusterFS fuse server ii libglusterfs0 1.3.8-0pre2 GlusterFS libraries and translator modules I have 2 hosts set up to use AFR with

Hi Andrea, So does this definition make sense for basic blocks with more than one instructions? E.g. how should one interpret a basic block with RThroughput of 2.3? On Fri, Jun 7, 2019 at 7:39 AM Andrea Di Biagio <andrea.dibiagio at gmail.com> wrote: > Hi Tom, > > Field 'Total Cycles' from the summary view simply reports the elapsed > number of cycles for the entire

Hi, What I would like to do is have a data.frame with column names and have these column names stored as strings in another vector. Then I would like to be able to access the data.fram columns via referencing the vector of names. The code below shows the last few executions that failed to retrieve the values for column named X1. Seth >

Hi Andy and all, I have a question about per-operand machine model. I am finding some relations between 'MCWriteLatencyEntry' and 'MCWriteProcResEntry'. For example, class InstTEST<..., InstrItinClass itin> : Instruction { let Itinerary = Itin; } // I assume this MI writes 2 registers. def TESTINST : InstTEST<..., II_TEST> // schedule info II_TEST:

From: Peter Arremann <loony at loonybin.org> > Compiles aren't a great benchmark for a box since its 100% cpu and > neglects memory or disk performance but I had the numbers handy > for that :-) BTW, it is 100% ALU and a major strain on the ALU LOAD. In other words, it's not a good benchmark for even CPU. That's why the 3-issue ALU in the Nx586 on-ward blows the

Hello, Could somebody please tell me what am I doing wrong in following? I try extract coefficients (using arm-package) from the lmer frunction, but I get the following warning: a<-data.frame(coef(res)) Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors) : cannot coerce class "coef.mer" into a data.fram I think I have done it before

On Apr 8, 2011, at 9:56 AM, NAKAMURA Takumi wrote: >>> 8B C3 mov eax, ebx >>> 03 C1 add eax, ecx >>> becomes >>> 8B C3 03 C1 add eax, ebx, ecx > > In my understanding, twoaddr pass tends to emit such a sequence. Yes, it always does, and the coalescer tries very hard to eliminate the copy. > Though I

Hello, I've got a data frame with a mix of numeric, integer and factor columns. I'd like to pull out (or just operate only on) the numeric/integer columns. Every thing I've found in searches is about how to subset by rows, or how to operate assuming you have the column names.  I'd like to pull by type. Thanks! Barry [[alternative HTML version deleted]]