similar to: remove rows in data frame by average

Hi, I have a data.frame that looks something like this. feature 5637 ? ? ? ? ? ? ? ?1321N1 feature1 -0.568750616 -0.934748758 feature2 -0.913080902 -0.941455172 feature3 0.442477294 -0.257921866 I want to change it to look like this. feature ? ? ?cell.line ? ? value feature1 5637 -0.568750616 feature2 5637 -0.913080902 feature3 5637 0.442477294 feature1 1321N1

Hi, I'd like to propose extending the supported syntax for AssemblerPredicates to allow sets of SubtargetFeatures to be listed, but where only one in the list has to be enabled for the predicate to be true. The condition string which forms a AssemblerPredicate already allows multiple features to be defined, separated by commas, and this means all of these features must be present. For

Is there a way to enable/disable target features through clang? I found this, https://github.com/avr-llvm/llvm/issues/9, but this seems to be talking about llc -mattr=+feature1,-feature2... Is there something equivalent for clang? -- Rail Shafigulin Software Engineer Esencia Technologies -------------- next part -------------- An HTML attachment was scrubbed... URL:

I'm trying to enable/disable a target feature through clang. Here is how my target looks like // Esencia subtarget features //===----------------------------------------------------------------------===// def FeatureMul : SubtargetFeature<"mul", "HasMul", "true", "Enable hardware multiplier">; def FeatureDiv

The ALTERNATIVE() and ALTERNATIVE_2() macros are GNU assembler macros, which makes them quite inflexible for future changes. Convert them to preprocessor macros. Signed-off-by: Josh Poimboeuf <jpoimboe at redhat.com> --- arch/x86/entry/entry_32.S | 12 +++--- arch/x86/entry/entry_64.S | 10 ++--- arch/x86/entry/entry_64_compat.S | 8 ++--

  Hi r-users,   I would like to use gev and my data (annual rainfall ) is as follows:   > head(dat,20) A B C D E F G H I J 1 45.1 41.5 58.5 50.1 46.0 49.1 37.7 49.1 59.8 54.0 2 50.3 39.8 49.4 56.4 49.4 48.8 42.1 49.8 49.4 58.3 3 41.7 39.3 44.6 39.1 35.7 41.5 40.8 40.8 38.5 45.6 4 50.7 33.9 48.4 28.2 35.5 39.1 61.4 17.0 30.7 38.3 5 39.3 30.6 46.9 23.8 25.8

Hi We are provisioning some default features to our customers like "automated answer when outside labor time", "rerouting when Subscriber Absent", and so. These are macro calls embedded in key points inside the dialplan. Since not all customers need/want all features and they (the features) are customized, I named them like [macro-feature1-ClientA], [macro-feature4-ClientF],

I have a plain text file, ASCII, unix line breaks. 1 single line, and all that is in it is the word "radio". Here's some test dialplan: exten => 5,1,Verbose(Context: ${CONTEXT} Exten:${EXTEN}) same => n,Set(feature=${FILE(/home/test/feature-1.txt,0,1,l,u)}) same => n,Verbose(${feature}) same => n,Set(featurefile=/home/test/feature-1.txt) same =>

On Wed, Oct 10, 2018 at 01:54:33PM -0500, Segher Boessenkool wrote: > It would be great to hear from kernel people if it works adequately for > what you guys want it for :-) Sure, ping me when you have the final version and I'll try to build gcc with it and do some size comparisons. Thx. -- Regards/Gruss, Boris. Good mailing practices for 400: avoid top-posting and trim the

On Wed, Oct 10, 2018 at 01:54:33PM -0500, Segher Boessenkool wrote: > It would be great to hear from kernel people if it works adequately for > what you guys want it for :-) Sure, ping me when you have the final version and I'll try to build gcc with it and do some size comparisons. Thx. -- Regards/Gruss, Boris. Good mailing practices for 400: avoid top-posting and trim the

Extend mkfs options to specify optional or potentially backwards incompatible features. Signed-off-by: David Sterba <dsterba@suse.cz> --- man/mkfs.btrfs.8.in | 9 ++++ mkfs.c | 124 +++++++++++++++++++++++++++++++++++++++++++++++----- 2 files changed, 123 insertions(+), 10 deletions(-) diff --git a/man/mkfs.btrfs.8.in b/man/mkfs.btrfs.8.in index a3f1503..548e754 100644 ---

Hello R community, I am trying to combine two CSV files that look like this: File A Row_ID_CR, Data1, Data2, Data3 1, aa, bb, cc 2, dd, ee, ff File B Row_ID_N, Src_Row_ID, DataN1 1a, 1, This is comment 1 2a, 1, This is comment 2 3a,

I use Samba 2.2.12 like print server and all were fine until some XP clients start upgrade to SP2. The "feature box" (see attached feature2.jpg) is absent on SP2 clients (see attached feature1.jpg) but still present for 2K, XP, XP-SP1 clients. Other things look well with SP2 but I guess that absence of this "feature box" probably hide some other problems. How can I fix it?

Hi Elisa, I hope this is what you wanted. dat1<-read.csv("peaks.csv",sep=",") #Subset dat2<-dat1[1:5,] res1<-do.call(cbind,lapply(seq_len(nrow(dat2)),function(i) do.call(rbind,lapply(split(rbind(dat2[i,],dat2[-i,]),1:nrow(rbind(dat2[i,],dat2[-i,]))), function(x) {x1<-rbind(dat2[i,],x);

With CONFIG_PARAVIRT, the kernel .text is littered with a bunch of calls to pv_irq_ops function pointers, like: callq *0xffffffff81e3a400 (pv_irq_ops.save_fl) In non-Xen paravirt environments -- including native, KVM, Hyper-V, and VMware -- the above code gets patched by native_patch() to look like this instead: pushfq pop %rax nopl 0x0(%rax,%rax,1) So in most scenarios,

HI Elisa, You could use ?cut() vec1<-c(33,18,13,47,30,10,6,21,39,25,40,29,14,16,44,1,41,4,15,20,46,32,38,5,31,12,48,27,36,24,34,2,35,11,42,9,8,7,26,22,43,17,19,28,23,3,49,37,50,45) label1<-unlist(lapply(mapply(c,lapply(seq(0,45,5),function(x) x),lapply(seq(5,50,5),function(x) x),SIMPLIFY=FALSE),function(i) paste(i[1],"<x<=",i[2],sep="")))

Hi, dat1<- read.table(text=" id??????????????? t???????????????????? scores 2???????????????? 0??????????????????????? 1.2 2???????????????? 2???????????????????????? 2.3 2???????????????? 3??????????????????????? 3.6 2???????????????? 4??????????????????????? 5.6 2???????????????? 6??????????????????????? 7.8 3???????????????? 0??????????????????????? 1.6 3????????????????

Dear useRs, i have vectors of about 27 descriptors, each having 703 elements. what i want to do is the following 1. i want to do regression analysis of these 27 vectors individually, against a dependent vector, say B, having same number of elements.2. i would like to know best 10 regression results, if i do regression analysis of dependent vector against the random combination of any 4

Hi, May be you can try this: obj_name<- load("arun.RData") Pred1<- get(obj_name[1]) Actual1<- get(obj_name[2]) library(reshape2) dat<-cbind(melt(Pred1,id.vars="S1"),value2=melt(Actual1,id.vars="S1")[,3])? # to reshape to long form colnames(dat)[3:4]<- c("Predict","Actual") dat$variable<- as.character(dat$variable) #not that

Hi, Your question is still not clear. May be this helps: dat2<- read.table(text=" patient_id????? t???????? scores 1????????????????????? 0??????????????? 1.6 1????????????????????? 1??????????????? 2.6 1????????????????????? 2???????????????? 2.2 1????????????????????? 3???????????????? 1.8 2????????????????????? 0????????????????? 2.3 2?????????????????????? 2???????????????? 2.5