similar to: avoiding loops

Hi, Following is excerpted from dynamic-vector-gep.ll. The resulting "extractelement" seems to always return 0.0f regardless the value idx1 and idx2 is holding. Am I missing something here or there is something fishy take place? Thanks Shuxin 101 ; CHECK: test6 102 ; CHECK: insertelement <4 x float> zeroinitializer, float 1.000000e+00, i32 %idx1 103 ; CHECK:

Hi Shuxin I think i might have written that test. And yeah, no matter what values you get you’ll get a 0.0. Its probably a bad test case, but i can’t remember if it exposed a bug in this form or not. Since writing it Chandler rewrote SROA anyway so the original bug is long gone. Thanks, Pete On Apr 5, 2013, at 11:57 AM, Shuxin Yang <shuxin.llvm at gmail.com> wrote: > Hi, > >

Dear all I have a function in which I would like to change some values to NA according to some condition. dropout<-function(y, nahr=FALSE,...) { <some stuff for computing an index> if (nahr) y[index]<<-NA invisible(index) } in case y is a vector all works OK but if it is a part of data frame by calling dropout(df$y) or dropout(df[,number]) no change is done. Please can you

For the gep: %idx1 = getelementptr i32* %MyVar, i32 0 i32* is the type that MyVar is pointing to and i32 is the type of the offset value, or what? If it's the type of offset value, then the size of the pointer shouldn't be less than i32, correct? The index is 0, so in this example, the address computation is idx1 = &MyVar+0. What I want to know is the size in bits of the values

On Mon, Dec 12, 2011 at 3:54 PM, Ryan Taylor <ryta1203 at gmail.com> wrote: > For the gep: > > %idx1 = getelementptr i32* %MyVar, i32 0 > > i32* is the type that MyVar is pointing to and i32 is the type of the offset > value, or what? If it's the type of offset value, then > the size of the pointer shouldn't be less than i32, correct? > > > The index is

Hi Shuxin, > Following is excerpted from dynamic-vector-gep.ll. > The resulting "extractelement" seems to always return 0.0f regardless the value > idx1 and idx2 is holding. > Am I missing something here or there is something fishy take place? maybe this is the same as PR15674. Ciao, Duncan.

Hi, Duncan: Thank you for sharing this info. I will check and go back to you next Monday. In case PR15674 is caused by the same bug, I will put a comment over there and close it. Thank you again! Shuxin On 4/6/13 2:55 AM, Duncan Sands wrote: > Hi Shuxin, > >> Following is excerpted from dynamic-vector-gep.ll. >> The resulting "extractelement" seems to

Hi, I am sorry for this simple question, but... How do I extract something from a data.frame? The following is my Problem: I have got a dataframe "a" with various columns. One of those columns is called V3 and contains elements of the following levels: > levels(a$V3) [1] "C" "CA" "CB" "CD" "CD1" "CD2"

Dear list, I would like to extract from a matrix all those rows, that are unique. By unique, I don't mean the unique that is accomplished by the function unique(), though... Consider the following example: > h [,1] [,2] [1,] 4 4 [2,] 1 4 [3,] 4 1 Now unique(h) returns exactly the same - because 1 4 and 4 1 is not the same for that function. What I would like to

Thanks for your reply. After I change Cstr to gI, it compiled successfully. Thanks again. Another question is for constructing getelementpt. // C code char gStrA[10] = "test str"; // here is Global variable,gStrA and initializer "test str" char gStrB[10]= "test str2"; main(){ int = i; char *pGVars[20]; // here, the pGVar is for storing the address of each

Dear all, I am trying to calculate a score for a string sequence consisting of the following four letters: ACGT. I have got a matrix giving the scores for each pair of letters. So for example the string ACCT has got the pairs: AC, CC and CT. The matrix has got the following form: names<-c("A","C","G","T"); mscore<-matrix(0,4,4);

Dear list, I have got an array with observational values t and I would like to fit a geometric distribution to it. As I understand the geometric distribution, there is only one parameter, the probability p. I estimated it by 1/mean(t). Now I plotted the estimated density function by plot(ecdf(t),do.points=FALSE,col.h="blue"); and I would like to add the geometric distribution. This

I'm trying to do the following: For each ordered pair of a data frame (D1) containing longitudes and latitudes and unique point IDs, calculate the distance to every point in another data frame (D2) also containing longitudes, latitudes and point IDs, and return to a new variable in D1 the point ID of the nearest element of D2. Dramatis personae (mostly self-explanatory): D1$long

Dear list, I ran into a strange behaviour of the pnbinom function - or maybe I just made a stupid mistake. First thing is that pnbinom seems to be very slow. The other - more interesting one - is that I get two different curves when I plot the estimated density and the density given by pnbinom. Shouldn't it be the same? This is only the case, I think, if I use the parameter size = 1. I

Hi all. I would like to highlight overlapping regions of two densities and I could not find a way to do it. Here is the sample code: myd <- c(2,4,5, 4,3,2,2,3,3,3,2,3,3,4,2,4,3,3,3,2,2.5, 2, 3,3, 2.3, 3, 3, 2, 3) myd1 <- myd-2 plot(range(density(myd)$x, density(myd1)$x), range(density(myd)$y, density(myd1)$y), type = "n") lines(density(myd), col=1, lwd=4)

# build a sample data frame illustrating the problem ids<-c(rep(1234,5),rep(5436,3),rep(7864,4)) years<-c(seq(1990,1994,by=1),seq(1991,1993,by=1),seq(1990,1993,by=1)) data<-seq(14,25,by=1) data[6]<-NA DF<-data.frame(Id=ids,Year=years,Data=data) DF Id Year Data 1 1234 1990 14 2 1234 1991 15 3 1234 1992 16 4 1234 1993 17 5 1234 1994 18 6 5436 1991 NA 7

Hello everybody! I have the following problem: I'd like to select a sample from a subsample in a dataset. Actually, I don't want to select it, but to create a new variable sampleNo that indicates to which sample (one or two) a case belongs to. Lets suppose I have a dataset containing 40 cases: data <- data.frame(var1=seq(1:40), var2=seq(40,1)) The first sample (n=10) I drew like

*** Summary I'd like to propose (and implement) functionality in LLVM to determine when a poison value from an instruction is guaranteed to produce undefined behavior. I want to use that to improve handling of nsw, inbounds etc. flags in scalar evolution and LSR. I imagine that there would be other uses for it. I'd like feedback on this idea before I proceed with it. *** Details Poison

Hello, I have got the following problem: given is a large string sequence consisting of the four letters "A" "C" "G" and "T" (as before). Additionally, I have got a second string sequence of the same length giving a label for each character. The labels are "+" and "-". Now I would like to create an 8x8 matrix which contains the

This mailing list truly is amazing. Thank you so much for all the help! I feel a little strange asking something that "simple" again, but I wasn't able to find it in the help... Is there a way to tell R how to display numbers (double)? How many numbers after the decimal point, etc... Thanks again, folks and have a nice New Years Eve! Dax