similar to: C code called from R: reallocate arrays passed as arguments?

Hello! # I have 3 vectors of values: values1<-rnorm(10) values2<-rnorm(10) values3<-rnorm(10) # In real life, all 3 vectors have a length of 25 # I create all possible combinations of 4 based on 10 elements: mycombos<-expand.grid(1:10,1:10,1:10,1:10) dim(mycombos) # Removing rows that contain pairs of identical values in any 2 of these columns: mycombos<-mycombos[!(mycombos$Var1

? Fri, 16 Aug 2024 10:35:35 +0200 <sibylle.stoeckli at gmx.ch> ?????: > what do you mean by use is.na() in getValues(). So I need to call > getValues a second time? Not necessarily, but it's one of the options. I was thinking along the lines of: values1 <- getValues(r1) mask1 <- is.na(values1) # Do the same for r2 # Combine the masks all.equal(values1[!combined_mask],

Readers, I am trying to use the function dotchart. The data is: > testdot category values1 values2 values3 values4 1 a 10 27 56 709 2 b 4 46 47 208 3 c 5 17 18 109 4 d 6 50 49 308 The following error occurs > dotchart(testdot,groups=testdot[,2]) Error in dotchart(testdot, labels =

Right, later in the same file we have: // Reserve entries in the vector for each of the SUnits we are creating. This // ensure that reallocation of the vector won't happen, so SUnit*'s won't get // invalidated. // FIXME: Multiply by 2 because we may clone nodes during scheduling. // This is a temporary workaround. SUnits.reserve(NumNodes * 2); So for some reason *2 is

In bits.c\speex_bits_pack there is logic to reallocate the bits buffer. In that section there is a call to speex_memset_bytes which appears to wipe out all the old bytes. I found when I encoded a multi-frame message that needed less than the default 2000 bytes for bits->chars, everything worked fine. However, when I encoded a longer message that triggered the realloc code in speex_bits_pack,

I tried this : > mosaicplot(stoc ~ q9r + segca,data=tmp2,color=T) : works fine. And now, this : > mosaicplot(stoc ~ q9r + segca, data=tmp2, color=T, main="Big title") Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : invalid variable type I'm probably stupid and missed something simple in the manual (and wouldn't like to be

Hello! I am merging two datasets and I have encountered a problem with sort. Can someone please point me to my error. Here is the example. ## I have dataframes, first one with factor and second one with factor ## and integer > tmp1 <- data.frame(col1 = factor(c("A", "A", "C", "C", "0", "0"))) > tmp2 <- data.frame(col1 =

Dear all, The function f() below is a function of m1 and m2, both of which are matrices with 3 rows. The function works sequentially one row after another. So altogether there are three stages. I am trying to update the coding to write a generic function that will work for arbitrary k stages. I am hoping to get some suggestion and help. Thanks so much! Hanna ##x, y are two

Hi R-users, I'm quite new to R and trying to learn the basics. I have a following problem concerning the convertion of array object into data frame. I have made following data sets tmp1 <- rnorm(100) tmp2 <- gl(10,2,length=100) tmp3 <- as.data.frame(cbind(tmp1,tmp2)) tmp3.sum <- tapply(tmp3$tmp1,tmp3$tmp2,sum) tmp3.sum <- as.data.frame(tapply(tmp1,tmp2,sum)) and I want the

This feels like inconsistent behavior. latticeParseFormula works the way I anticipated for factor, but not for ordered. I want the behavior I see with tmp2, but not with tmp. My next step is to use the right.name to isolate the tmp2[,c("a","b")] columns. tmp <- data.frame(y=(1:12)+.1, a=factor(rep(1:3,4)), b=ordered(rep(1:4,

----- Original Message ----- > From: "Nuno Lopes" <nunoplopes at sapo.pt> > To: "Hal Finkel" <hfinkel at anl.gov> > Cc: "LLVM Developers Mailing List" <llvmdev at cs.uiuc.edu>, "Sanjoy Das" <sanjoy at playingwithpointers.com>, "Jeremy > Lakeman" <Jeremy.Lakeman at gmail.com>, nlewycky at google.com >

Hi I'm having slight confusion. I plan to grow/realloc a matrix depending on the data available in a C program. Here is what I'm tried to do: Data=allocMatrix(REALSXP,3,4); SEXP Data; REAL(Data)[8]=0.001123; REAL(Data)[200000]=0.001125; printf("%f %f\n\n\n\n",REAL(Data)[8],REAL(Data)[200000]); Here is my confusion: Do I always require to allocate the exact number of data

Suppose I have a data frame, such as the one below: tmp <- data.frame(index = gl(2,20), foo = rnorm(40)) And further assume it is sorted by index and then by the variable foo. tmp <- tmp[order(tmp$index, tmp$foo) , ] Now, I want to grab the first N rows of tmp for each index. In the end, what I want is the data frame 'result' tmp1 <- subset(tmp, index == 1) tmp2 <-

Hi, I am trying to extract the name of the variables passed as an Argument to a Function. I am using a runOnFunction Pass. For example in the following IR respresentation, define void @foo(i32 %limit) { entry: -- -- } I should be able to walk the IR and get '%limit' as the external variable passed to the function. Another question, Is it possible to create a basic symbol table (

Hi, I'm using LLVM 2.7 right now, and I found "opt -std-compile-opts" has missed some opportunities for optimization: define void @spa.main() readonly { entry: %tmp = load i32* @dst-ip ; <i32> [#uses=3] %tmp1 = and i32 %tmp, -16777216 ; <i32> [#uses=1] %tmp2 = icmp eq i32 %tmp1, 167772160 ; <i1> [#uses=2]

The following commands: nbdkit -fv --filter=cow memory size=512 --run 'qemu-img info $nbd' nbdkit -fv --filter=cache memory size=512 --run 'qemu-img info $nbd' both fail with: nbdkit: memory[1]: error: realloc: Success Initial git bisect pointed to commit 3166d2bcbfd2 (but I don't believe that commit is the real cause, it merely exposes the bug). The reason this

Hi, I'm not sure what the expected behavior of calling a bitcasted function is. Suppose you have a case like this (which you get on the source level from attribute alias): @alias_f32 = alias bitcast (i32 (i32)* @func_i32 to float (float)*) define internal i32 @func_i32(i32 %v) noinline nounwind { entry: ret i32 %v } define void @bitcast_alias_scalar(float* noalias %source, float* noalias

Hi, Can any llvm pass change simple return branch into select/return pair? For example: define i10 @mod_N(i10 zeroext %a) zeroext { entry: %tmp2 = icmp ugt i10 %a, -400 ; <i1> [#uses=1] br i1 %tmp2, label %cond_true, label %return cond_true: ; preds = %entry %tmp5 = add i10 %a, 400 ; <i10> [#uses=1] ret i10 %tmp5 return: ; preds = %entry ret

I'm using R 2.10.0, with zoo 1.5-8. The release notes for zoo 1.5-8 claim a bug with unique for yearmon objects has been fixed, but I'm still having problems. Browse[1]> tmp2 [1] "Dec 1996" "Dec 1996" Browse[1]> unique(tmp2) [1] "Dec 1996" "Dec 1996" Browse[1]> unique(unique(tmp2)) [1] "Dec 1996" Browse[1]> as.numeric(tmp2) -

This is great. Thank you for your help, but let me make sure I fully understand. Here is the looping file I use to subset the data frame, create a tex file, and Sweave it. This results in N number of tex files where N is equal to the number of rows in the data frame. list <- unique(wide$stuid) master = "master.tex" for (i in list){ tmp1 <- subset(wide, stuid==i) tmp2