similar to: use the value of variable to quote certain elements in matrix

The code below is a small reproducible example of a much larger problem. While the script below works, it is really slow on the true dataset with many more rows and columns. I'm hoping to get the same result to examp, but with significant time savings. The example below is setting up a data.frame for an ensuing regression analysis. The purpose of the script below is to appends columns to

On Mon, Nov 30, 2009 at 7:22 PM, Javier Martinez <javier at jmartinez.org> wrote: > Hello, > > I'm working in adding support for 64-bit integers to my target. I'm using > LLVM to decompose the 64-bit integer operations by using 32-bit registers > wherever possible and emulating support where not. When looking at the bit > shift decomposition I saw what seems to be a

Hello, I'm working in adding support for 64-bit integers to my target. I'm using LLVM to decompose the 64-bit integer operations by using 32-bit registers wherever possible and emulating support where not. When looking at the bit shift decomposition I saw what seems to be a bug in the implementation. The affected function is ExpandShiftWithUnknownAmountBit in LegalizeIntegerTypes.cpp.

Hi all, llvm newbie here. I'm trying to branch based on a vector compare. I've found a slow way (below) which goes through memory. Is there some idiom I'm missing so that it would use for instance movmsk for SSE or vcmpgt & cr6 for altivec? Or do I need to resort to calling the intrinsic directly? Thanks, Stephen. %16 = fcmp ogt <4 x float> %15, %cr %17 =

Can any one help it will be very kind, loop statements I have this table and some more records, I want to reshape it V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 TP53 Dis1 Dis2 Dis3 Dis4 Dis5 Dis6 DCI New1 New2 New3 New4 FDI Hi2 H3 H4 GHD I1 I3 I4 I5 I6 I7 I8 I want my new table or matrix to be some thing like this V1 V2 V3 Tp53 Dis1 Dis2 Tp53 Dis1 Dis3 Tp53 Dis1 Dis4 Tp53 Dis1 Dis5 Tp53 Dis1 Dis6 Tp53 Dis2

Some background: I have some data on structural dependencies in a base of code artifacts. The dependency structure is reflected in terms of relative node degrees, with each node representing some code unit (just as an example). This gives me real data of the following form (sorry for the longish posting): dat1 <- c(0.00245098039215686, 0, 0, 0, 0, 0, 0, 0, 0.0563725490196078, 0, 0, 0,

I bought a UTStarcom F1000 WiFi IP Phone from http://www.luxoncomm.com and tested it with Asterisk. This is a my first impression of the device. The F1000 supports SIP. It looks and operates like a cell phone, and connects to the Internet through WiFi, so you can use it at any WiFi hotspot. I set up a 802.11b wi-fi network with a Linksys BEFW11S4 Wireless-B broadband router with no security

Hi Stephen, > Hi all, llvm newbie here. welcome! > I'm trying to branch based on a vector compare. I've found a slow way (below) > which goes through memory. Is there some idiom I'm missing so that it would use > for instance movmsk for SSE or vcmpgt & cr6 for altivec? I don't think you are missing anything: LLVM IR has no support for horizontal operations like

I just also wanted to mention that I have the current released source tarballs downloaded and placed at http://people.debian.org/~jbouse/xen/ at this time. As the only way to get the source tarballs I've found is via bittorrent unless you want to give your email address I'll continue to keep the the current tarball located there. That is one thing that I noticed about Ralph's

Hello, I can`t figure out how can increase the velocity of the fitting data by nls. I have a long data .csv I want to read evry time the first colunm to the other colunm and analisy with thata tools setwd("C:/dati") a<-read.table("Normalizzazione.csv", sep=",", dec=".", header=F) for (i in 1:dim(a[[2]]]) { #preparazione dati da analizzare

anova() on three or more objects behaves inconsistently in R. In R anovalist.lm does a sequential ANOVA using pairwise F tests, ignoring all the other objects, so the larger of the two models provides the denominator. In S anova.lmlist uses the denominator from the largest model (smallest residual df) in the set, as does anova.glmlist in both. I suggest that R's anovalist.lm is wrong (that

Hello, I’d like to do next, see if you could help me please: I have a csv called “datuak” with a id called “calee_id” and a colunm called “poids”. I have another csv called “datuak2” with the same id called “calee_id”, (although there are “calee_id” that are in “datuak” but not in “datuak2” and inverse), and a column called “kg_totales” in which the values are repeteated for each calee_id

Try colnames(df)[4:6] <- c("x","y","z") -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of xmeng at capitalbio.com Sent: 21 December 2004 09:45 To: r-help at stat.math.ethz.ch Subject: [R] about colnames Hello sir: If there's a data frame(with name "df"): a b c d e f

Dear all, Here is an issue I often stumble on. 1- colunm types in data.frames. ------------------------------- > d <- data.frame(x=as.character(c("a", "b", "c")), y=as.numeric(c(1, 2, 3))) > d x y 1 a 1 2 b 2 3 c 3 > is.numeric(d[1,2]) [1] TRUE > is.numeric(d[1,1]) [1] FALSE > apply(d, c(1,2), is.numeric) x y 1 FALSE FALSE 2 FALSE

Dear All, I have tried to calculate tree mean growth but I think the structure I used below (growthresumo) is not the most elegant, even though it worked. The only problem I had in this first part was that I cannot use 'summary', just 'mean' (sorry but 'R' is pretty new for me). >growthresumo <-

Dear All, I created a script to calculate averages - two groups: "parcel" and "date" - and, based on these averages, make a graph. The problem is that 'R' does not recognize the first column even if I try to insert one. A brief example Raw data: Data <- sample(1:100, 30, replace = FALSE, prob = NULL) Date <-

Hi, directory<- "/home/arunksa111/data.new" #first function filelist<-function(directory,number,list1){ setwd(directory) filelist1<-dir(directory) direct<-dir(directory,pattern = paste("MSMS_",number,"PepInfo.txt",sep=""), full.names = FALSE, recursive = TRUE) list1<-lapply(direct, function(x) read.table(x,header=TRUE, sep =

Adding llvm-dev as that might be a more suitable audience for this discussion. (& I know Lang's been playing around with the same problem in the Orc JIT, so adding him too) Is there any basis/reason to believe that the .X suffix is a better, more principled one than straight X? Is that documented somewhere as a thing the demangling tools will ignore? On Tue, Apr 14, 2015 at 12:06 PM,

Hi David, Thanks for adding Lang and other mailing lists. Ø Is there any basis/reason to believe that the .X suffix is a better, more principled one Ø than straight X? Is that documented somewhere as a thing the demangling tools Ø will ignore? I don’t know of any documentation but the existing demangling tools, such as c++filt on linux, already stop at ‘.’. So there is precedence. Gcc

Hi, The animation package 2.0-0 is on CRAN now. This version is a milestone of the animation package. It includes a new function saveHTML() which uses a much more elegant interface and is consistent in syntax with other save*() functions such as saveMovie(), saveSWF() and saveLatex(). Lots of demos have been added to demonstrate the flexibility of this package, e.g. now we can get the snapshots