search for: recombin

R Help I have a data.frame where I've broken out the year <dbl> and an ordered month <ord> values. But I need to recombine them so I can graph mon-year in order but when I recombine I lose the month order and the results are plotted alphabetical. Year month mon_year <dbl> <ord> 2021 Mar Mar-2021 2021 Jan Jan-2021 2021 Apr Apr-2021 So d...

?s 21:29 de 16/05/2023, Jeff Reichman escreveu: > R Help > > > > I have a data.frame where I've broken out the year <dbl> and an ordered > month <ord> values. But I need to recombine them so I can graph mon-year in > order but when I recombine I lose the month order and the results are > plotted alphabetical. > > > > Year month mon_year > > <dbl> <ord> > > 2021 Mar Mar-2021 > > 2021 Jan...

Dear R Users, I am having trouble with lmer. I am looking at recombinant versus non recombinant individuals. In the response variable recombinant individuals are coded as 1's and non-recombinant as 0's. I built a model with 2 fixed factors and 1 random effect. Sex (males/females) is the first fixed effect and sexual genotype (XY, YY, WX and WY) the second...

This is an example of two months of data from a twenty four month data set that I would like to apply this too. These data are subsets of the same stations throught time, but differing ones were included on different sampling dates. I would like to subset these data and then put them together as a big matrix with the by column being RiverMile. What is the easiest way to proceed as this is a

...you need to modify the IR? Wouldn't the target level lowering happen later? How are you actually determining to offload? Is this tied to directives or using heuristics+some set of restrictions? Lastly, are you handling 2 targets in the same module or end up emitting 2 modules and dealing with recombining things later..

...ring >> happen later? >> >> How are you actually determining to offload? Is this tied to >> directives or using heuristics+some set of restrictions? >> >> Lastly, are you handling 2 targets in the same module or end up >> emitting 2 modules and dealing with recombining things later.. >> > > It's not currently possible to do this using the current structure without > some significant and, honestly, icky patches. What's not possible? I agree some of our local patches and design may not make it upstream as-is, but we are offloading to 2+ t...

...With a pass, within a function you ought to be able to promote all uses of addrspace(0) to addrspace(1), leaving (as you say) addrspacecasts at opaque sources and sinks (loads, stores, args, return, ...). Structs containing pointers would be (very?) messy. And you'd probably want it earlyish to recombine things. I do like LLVM passes as a solution for most problems, and it ought to give a big head start to GlobalISel implementation too. I'll definitely give it a go as an alternative next week. Cheers. Tim.

...er an object and trim trailing white space. When I use this function on a list of data.frame I get output like this: [1] "c(\" many spaces \", \" many spaces \")" "c(\" many spaces \", \" many spaces \")" What should I do to recombine the results? If anyone has a good way to search for this type of question, that would be appreciated. I tried rseek.org with "recursive", but after wading though all the rpart references I didn't find something that seemed to help with this problem. Thank you very much. trim <...

...all)) new_cma_c = sum(subdata$ty_all == "cma_" & !is.na(subdata$ti_all)) new_out_c = ifelse(new_out_c == 0, NA, new_out_c) new_cma_c = ifelse(new_cma_c == 0, NA, new_cma_c) return(c(newname, NA, NA, NA, new_out_c, new_cma_c, new_c_n, NA)) } }) # recombine and sort colnames(newrows) = colnames(mydata) newdata = rbind(mydata, newrows) newdata = newdata[order(newdata$id), ] mydata2 <- newdata newrows2 <- ddply(mydata2, .(id), function(subdata) { subdata_ty = subdata[!is.na(subdata$ty_all), ] if (NROW(subdata) == 1) { r = subdat...

...this... so how many frames/packets of preroll are required to ensure "perfect" (where perfect = as it would have been reproduced at this point had the file played from the beginning) output ? ie basically what i'm asking is what impact does this have on seeking or editing/cutting/recombining ? Because when you just seek to some random point... obviously it doesn't have the same memory state as if it had played to there. I assume the difference is either very small or over such a short duration that the audio change at a seek essentially masks it ? Zen.

I've got a data frame which I've split by a factor, creating a list of dataframes which I have then done various operations on individually. I next want to recombine the resulting dataframes (still held in a list, still with the same number of columns with the same names) and there does not appear to be a `good' way to do this - at the moment, I'm using a for-loop with the rbind command, but this is terribly slow ... Anyone know a better way to do it...

Hello all, I am implementing some simple obfuscation transformations in LLVM. One of the obfuscations involves searching for particular constants, and "unrolling" them throughout a procedure using arithmetic. In effect, certain constants are broken up into smaller constants and recombined as needed using the appropriate operators. I perform this on intermediate LLVM instructions. After I run opt on an un-obfuscated bitcode file to produce an obfuscated bitcode file, I verify that my transformations were placed in the file using llvm-dis. At this point, the changes appear to have...

...ion in order to be able to restructure the first data set to have a similar look as the second, i.e.   VariableName, Run, Location, temp,               15.0,  There # Really Run1 temp,               16.0,  There # Really Run2 temp,               17.0,  There # Really Run3   Right now I am manually recombining: tmp_1<-data.frame(data$VariableName, data$ Run1, data$Location) tmp_2<-data.frame(data$VariableName, data$ Run2, data$Location) tmp_3<-data.frame(data$VariableName, data$ Run3, data$Location)   combine_1<-rbind(tmp_1, tmp_2) combine_1<-rbind(combine_1, tmp_3)   Is there an easier...

...bad IP stack on an older machine, and I'm wondering if any of you could help make my life a bit easier: When doing the dump, I used the '-C' flag which causes capture files to be rotated when they reach a certain size. I made the mistake of making this size too small, and now need to recombine all those files so I can avoid having to analyze file upon file of dump data separately. Using cat did NOT work, as analysis would never go beyond the equivalent of the first dump file. Any advice would be greatly appreciated. Another question: I have set up SSL to work for Samba clients, have...

...problem: load this R data frame over the internet and save it to your hard drive. http://rss.acs.unt.edu/Rdoc/library/twang/data/raceproling.RData please show how to save a dataset of males only (the variable male=1) to a new dataframe. Then do the same thing for females (male=0). Then show how to recombine the two datasets to belike the original one except that the female observations come rst, then the male observations. This resultingdataset should be the same size as the original. this is what i did so far: # loading the R data frame over the internet and saving it to your hard drive >rp&l...

...> I am implementing some simple obfuscation transformations in LLVM. One > of the obfuscations involves searching for particular constants, and > "unrolling" them throughout a procedure using arithmetic. In effect, > certain constants are broken up into smaller constants and recombined > as needed using the appropriate operators. I perform this on > intermediate LLVM instructions. > > After I run opt on an un-obfuscated bitcode file to produce an > obfuscated bitcode file, I verify that my transformations were placed > in the file using llvm-dis. At this poin...

...9;. The reason for this is that the wav files spool to a ram disk[2] and if there are quite a few very long calls they can fill the ram disk up. If we could split long calls into a series of smaller files, we could move files off the ramdisk once they're no longer being actively written to and recombine them later once the call has finished. Any ideas? [1] we used to use MixMonitor() but we stopped using that for a valid reason though I can't remember what the reason was now. [2] if spooling to disk we get audio dropouts when a lot of calls are being simultaneously recorded Cheers, Kingsl...

I'm trying to replace SDIvRem (whch returns two i16 types) with a custom that returns i32 or i16. I am getting the Assertion (!Node || ResNo < Node->getNumValues() && "Invalid result number for the given node!") Seems that it doesn't like returning one value but how do you return more than one value? I am doing this in the LowerOperation for the case SDIVREM and a

...>> How are you actually determining to offload? Is this tied to >> >> directives or using heuristics+some set of restrictions? >> >> >> >> Lastly, are you handling 2 targets in the same module or end up >> >> emitting 2 modules and dealing with recombining things later.. >> >> >> > >> > It's not currently possible to do this using the current structure >> > without >> > some significant and, honestly, icky patches. >> >> What's not possible? I agree some of our local patches and d...

...93, 1082, 1435, 1008)) mapping <- rbind (negStrandGene, posStrandGene) # define a function to do what we want revSort <- function(df){   if (unique(df$Chr.Strand == '-'))   return (df[order(df$Chr.From), ])   else return (df) } # split the data with plyr, apply the function and recombine test2 <- ddply(mapping, .(Probe.Set.Name), function(df) revSort(df)) # ok, cool works So here the rows with the '-' if Chr.Strand are reordered whilst those with '+' are not. My initial attempt using plyr is very inefficient and I wondered if someone could suggest something be...