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System: Cenots Linux 6.9 Application: nut-2.7.5-0.20170613gitb1314c6 [with usb 0.1 from distro] Device: Mustek PowerMust 1060 LCD Comunication log file: dump.txt We are looking at the possibility of successful communicating with this device UPS Mustek PowerMust 1060 LCD. PS: wolfy on the list gives me assistance and i can install any new compiled nut version from sources. Thanks, Catalin.

Hi Experts, I am new to R, using following sample code for capping outliers using percentile information. Working on large data (30000 observations and 150 variables), loop I am using in the below mentioned code for detecting outliers and capping to upper /lower percentile value is taking much time for the execution. Is there anything wrong with code, can anyone suggest improvement in the script

Reviving an old thread. I haven't noticed this be a problem for a while when saving RDS's which is great. However, I noticed the problem again when saving `qs` files (https://github.com/traversc/qs) which is an RDS replacement with a fast serialization / compression system. I'd like to get an idea of what change was made within R to address this issue for `saveRDS`. My thought is that

Hello list. I am hoping for some help with a relatively simple problem. I have a data frame arranged as below. I want to be able to count the occurrence of each gene (eg let-7e) by Experiment. In other words how many times does a given gene crop up in the dataframe. I tried table but couldn't work out how to get the output I want. I have also considered rearranging this data into a list (by

Hello. I recently upgraded from Ubuntu Maverick to Natty and hence upgraded nut from 2.4.3-1ubuntu5 to 2.6.0-1ubuntu3. My Sven PowerPro+ 1000 UPS ( http://en.sven.ru/catalog/ups/power_pro_plus_1000.htm ) worked fine with the previous version, using megatec_usb driver, but doesn't work with the current version, since megatec_usb is no longer available. Here is the output from blazer_usb.

Hi, I am trying to get NUT 2.7.2 working on my Solaris 11.2 system with a PowerWalker 2000 VI PSW UPS. I have carefully configured the software such that it 'works' using custom values in the ups.conf file: driver = nutdrv_qx port = auto desc = "my UPS" protocol = voltronic-qs subdriver = cypress vendorid = 0665 productid = 5161 The problem I'm experiencing is that after a

I am calling quantiles as follows. I don't understand why sometimes the columns (data values) above 95% are returned as "NULL"!! When I drop the percentile down to 92%, I see colums appearing. Why would any quantile be empty? I see sometimes that 95% percentile is being chosen as "1" for my data between 0 and 1, where obviously there's no column value equal to 1. But

Hello list. I have a vector of values: eg > head(diff_mirs_list) [1] "hsa-miR-26b" "hsa-miR-26b" "hsa-miR-23a" "hsa-miR-27b" "hsa-miR-29a" [6] "hsa-miR-29b" and I would like to conditionally replace each value in this vector with a number defined in a dataframe: > fc ???????????? Probe ave.fc 1?????? hsa-let-7a?? 1.28 2?????

Hi, There is a question that I am confused. I have a set of data like this: hsa-miR-205--GATA3 0.797882767 1.08E-13 hsa-miR-205--ITGB4 0.750217593 1.85E-11 hsa-miR-187--PGF 0.797604155 3.24E-11 hsa-miR-205--SERPINB5 0.744124886 3.28E-11 hsa-miR-205--PBX1 0.734487224 7.89E-11 hsa-miR-205--MCC 0.72499934 1.80E-10 hsa-miR-205--WNT5B 0.717705259 3.33E-10 hsa-miR-200c--PKN2 0.721746815

Through converting a miRNAs file from FASTA to character format I get a vector which looks like the following: > nml [1] "hsa-let-7a MIMAT0000062 Homo sapiens let-7a" [2] "hsa-let-7b MIMAT0000063 Homo sapiens let-7b" [3] "hsa-let-7c MIMAT0000064 Homo sapiens let-7c" [4] "hsa-let-7d MIMAT0000065 Homo sapiens

Dear list, I am sorry about this simple question, but somehow I can not figure out how to solve my problem, may be you could help? I have a vector mir3: > length(mir3) [1] 220671 >head(mir3) rno-miR-30c rno-miR-30c rno-miR-30d rno-miR-30e "ENSRNOT00000049288" "ENSRNOT00000049288" "ENSRNOT00000049288"

*I have the following function:* /plot_mi_time = function(mdata, miname) { mdata2 = mdata[row.names(hakat) == miname, ] print(mdata2) xcoords <- c(1,1,2,2,3,3,4,4,5,5,6,6) plot(c(xcoords), mdata2, xaxt="n", ylab="Expression", xlab="Time(h)", , main=miname) axis(1, at=xcoords,

Hello all, Thanks in advance for you attention. I would like to generate a third value that represents the quantile value of a variable in a data frame. # generating data x <- as.matrix(seq(1:30)) y <- as.matrix(rnorm(30, 20, 7)) tmp1 <- cbind(x,y) dat <- as.data.frame(tmp1) colnames(dat) <- c("id", "score") dat # finding percentiles of "score"

hi everybody, i try to extract a part of name to a date : like : "VGT1_VGT2_CONTR_B020030401.H0V0.MIR" to "20030401" but the beginning of the files changes i have a list of files: [,1] [1,] "VGT1_CONTR_B020020301.H0V0.MIR" [2,] "VGT1_VGT2_CONTR_B020020611.H0V0.MIR" [3,]

Hi All, A self-follow up and rephrase of my previous question with updated subject: What I want to do is to analyze hand-written assembly code with 'full details' where semantics of each instruction can be known in LLVM passes. Many of such instructions have no corresponding counterparts in IR/MIR forms, such as 'syscall' 'iret', etc. At MC level, such assembly code can

Hello Valentin, To generate a mir test case i think the process is to first create an IR file by passing '-S -emit-llvm' to clang, then you can feed that file into llc and use stop-before to get the mir just before the if-converter pass, eg: `llc -stop-before=if-converter -simplify-mir -o test.mir test.ll`. Also there is a MIR language reference: https://llvm.org/docs/MIRLangRef.html

Hi all, I'd like to add a new diagnostic handler to llc. Right now, llc doesn't have one at all, and instead just exits after the first error that it encounters. This is very different from the behaviour of clang and other front ends, who try to report as many errors as possible before exiting. I think this is very important for testing LLVM's CodeGen in a more robust fashion. For

Hello List I'm moving this over from the bioC list as, although the problem I'm working on is biological, the current bottle neck is my poor understanding of R. I wonder if someone would help me with the following function. cumulMetric <- function(deMirPresGenes, deMirs){ ??? #need to match position of each miR in deMirPresGenes with its FC to form a vector of FC in correct order ?

Valentin, in terms of limitations as Sean pointed out, an important one is that .mir doesn't have MachineFunctionInfo which may result in failure on accesses to global variables due to use of register X2. The verifier considers it an undefined register. Also, it's probably easier to reduce test cases using bugpoint starting from an IR test case. With the code you provided, I get a

Hi all, The CodeGen library is a big bag of interdependent bits. This caused a circular dependency in the MIR serialization commit (r237954), which got reverted in r238007. I propose separating the machine IR out of CodeGen and into its own MIR library, living at lib/MIR. This touches every target but it's mostly a mechanical change that renames the header files, although a couple of