similar to: [LLVMdev] Hash Table Virtual Calls with Conflict Resolution Stubs

Within a threaded worker, I would like to have multiple methods. Will the following code work? def method_1(args) thread_pool.defer(args) do |args| #work end end def method_2(args) thread_pool.defer(args) do |args| #work end end . . . or, should I have one "meta"-method and pass which sub-method to perform via args? def meta_method(args)

> For the former, two vague ideas I had were adding a new calling > convention (it might be useful if external projects could use hooks to > add in their own calling conventions) or modifying inreg to allow > specifying a particular register (albeit encoding target-specific > information like this isn't ideal). Assuming you have full control over your environment, I'd not

Dear all Please see the following module, In module SX3 SX4 and SX5 have similar class Tasklist, but inherit from different class. I will use the following code to connect to different data sources RemoteSX3Model.establish_connection sx3_hash RemoteSX4Model.establish_connection sx4_hash RemoteSX5Model.establish_connection sx5_hash How can I refactor my code in module to look simpler? Thank you

#Hello, #I have a question about obtaining results from a loop I have written. #Below is a sample of individual genotypes from a genetic question I am working on called "P.genotype.sample ". P.genotype.sample<-matrix(10,10,10) P.genotype.sample[,1]<-c(2,2,1,5,1,1,5,6,1,3) P.genotype.sample[,2]<-c(6,3,3,6,8,1,6,7,2,3) P.genotype.sample[,3]<-c(2,2,2,3,3,2,2,2,3,3)

Hi all - I am NEW to R and NEW to any type of programming. I am making heatmaps using the heatmap.2 function within gplots package. At present, when the heatmap is plotted it uses the row identifiers as 1,2,3,4...etc. However, I much rather use my own labels. I was told my another well-versed R programmer to use the follow script: x<-as.matrix(test1[,-1]) ## skip column 1 rownames(x)<-

Hello R-help community, I have another question about filtering datasets. Please consider the following "toy" data matrix example, called "x" for simplicity. There are 20 different individuals ("ID"), with information about the alleles (A,T, G, C) at six different loci ("Locus1" - "Locus6") for each of these 20 individuals. At any single locus

Hello All, Once again thanks for all of the help to date. I am climbing my R learning curve. I've got a few more questions that I hope I can get some guidance on though. I am not sure whether the etiquette is to break up multiple questions or not but I'll keep them together here for now as it may help put the questions in context despite the fact that the post may get a little long.

I am about one step away from heaven on earth. I think only one step! I am using dgc.genetics to run a TDT test on thousands of genetic loci. I have learnt (through the help of others on this mailing list) to send the complex output to useful data frames which in turn allow me to look at the big picture and screen the thousands of loci. Resultdt<-lapply(PGWide[,240:290], tdt) the above

Rers, I have been using the function 'by' in such a manner: by(LogMetric, list(Loci.Number=Loci.Number, Code.Flag=Code.Flag), plot) with par(mfrow=c(5,3)) to produce a single R Graphics: Device with 14 different plots on it as described above in my 'by' statement. Thank you for helping me thus far. A similar command using 'tapply' can be written as well. My

Hi all, We are using two methods to identify SNPs. One is based on resequencing the genome and aligning the reads to the sequenced genome to identify SNPs (data available for 44 individuals). Another is based on SNP array with selected loci (30000 loci, 870 individuals). I want to compare the results from the resequencing based minor allele frequency and Array based minor allele frequency.

# Hello, # I have a list with 6 categories and with different numbers of rows. # I would like to change each of them into a unique data frame in order to match # values with other data frames and perform some calculations. # Or I could make each category or list element have the same number of rows and create one large data.frame. # below is a creation of a sample list # I apologize for the

Dear list, I came across the following error for three of my newly written Rd-files: non-ASCII input and no declared encoding I can't make sense of this. Below I copied in one of the three files. Can anybody please tell me what's wrong with it? Thank you, Christian \name{tetragonula} \alias{tetragonula} \alias{tetragonula.coord} \docType{data} % \non_function{} \title{Microsatellite

Bottom Line Up Front: How does one reshape genetic data from long to wide? I currently have a lot of data. About 180 individuals (some probands/patients, some parents, rare siblings) and SNP data from 6000 loci on each. The standard formats seem to be something along the lines of Famid, pid, fatid, motid, affected, sex, locus1Allele1, locus1Allele2, locus2Allele1, locus2Allele2, etc In other

Hello, I tried to align lines of text in the legend of a plot. It always defaults to the central alignment. How can I adjust it to be left alignment? Here is the code fragment written in python using Rpy module: text = 'Quantiles #Loci\n' text += '%s %6d\n' % (' 100',totalloci) text += '%s %6d\n' % (' 95',per95cntloci)

I?m tryng to use the SPDEP package in my research in the field of population genetics. My data set has the following format: - x and y : coordinates, - Z: allelic frequency in each loci (in a total of 8 locis) - this variable can assume the values 0 ; 0.5 or 1. The objective is to verify if there is a possible spatial autocorrelation structure of the allelic frequency in a population of

Hello all, It''s my first letter on this list, and, my English is not very well. Please take me indulgence for grammar/syntax and over erorrs :)) I have trouble for acl''s of ip range. But, acl for one host (with ip adress) work fine. Please help me for make work acl/find erorr in acl. Becouse I''m new shorewall user, I maked test configuration on Virtual Mashine

I have written several passes that have no pre-requisites for any previous LLVM native passes prior to my own. For those passes, I have verified that at least the following two approaches are equivalent in terms of executing those self-written passes and getting the correct results: #if METHOD_1 PassManager PM;

I have a couple forms that I''d like to be able to validate and automatically populate, but it shouldn''t be based on AR. In fact I often have a bunch of small forms that I can''t really justify writing a whole new model class for anyway. I''d like to validate the form input, and then use rails helpers to automatically populate the form if validations fail.

Hello, I am working with a matrix of multilocus genotypes for ~180 individual snail samples, with substantial missing data. I am trying to calculate the pairwise genetic distance between individuals using the stats package 'dist' function, using euclidean distance. I took a subset of this dataset (3 samples x 3 loci) to test how euclidean distance is calculated: 3x3 subset used

Dear friends - a couple of papers in PNAS (lastly:framework for making better predictions by directly estimating variables' predictivity, Lo et al PNAS 2016; 113:14277-14282) have focused interest on mapping complex traits to multiple loci spread all over the genome. I have been around on the relevant taskview(s) I hope but fail to see that the backward haplotype transmission association