similar to: Splitting a data frame into several completely separate data frames

Hi R sages, Here is my latest problem. Consider the following toy example: x <- read.table(textConnection("y1 y2 y3 x1 x2 indv.1 bagels donuts bagels 4 6 indv.2 donuts donuts donuts 5 1 indv.3 donuts donuts donuts 1 10 indv.4 donuts donuts donuts 10 9 indv.5 bagels donuts bagels 0 2 indv.6 bagels donuts bagels 2 9 indv.7 bagels donuts bagels 8 5 indv.8 bagels donuts bagels 4 1 indv.9

Hello again R users, I have a devilishly hard problem, which should be very simple. I hope someone out there will have the answer to this on the tip of their tongue. Please consider the following toy example: x <- read.table(textConnection("y x1 x2 indv.1 bagels 4 6 indv.2 donuts 5 1 indv.3 donuts 1 10 indv.4 donuts 10 9 indv.5 bagels 0 2 indv.6 bagels 2 9 indv.7 bagels 8 5 indv.8

Hello all, I am trying to write a program in R in which I call a function multiple times within a loop. The problem is that sometimes the function breaks down while calling another function, and produces an error message that breaks my loop and the program stops. I would like to keep the loop running when this function breaks down, and just move on to the next iteration in the loop. Is there

Hi, I was hoping someone could help me with the following problem. Consider this toy example. For the input dataset there are four individuals (rows "indv.1" through "indv.4"), measured for two different variables (columns "var.1" and "var.2") at two different levels of a factor (column "factor.level"). I want to calculate a matrix that has the

Hi I have the followed code for which I am writing a loop pass. int main() { int i = 0; for (i=0; i<20; i++) { printf ("hello world %d\n", i); } return 0; } In the function runOnLoop, I have the following instruction PHINode *indv = NULL; indv = L->getCanonicalInductionVariable(); However, when I check indv is always set to NULL. Since the code has a canonical

Dear listserv, Please consider the following dataset: x <- matrix(nrow = 8, ncol = 2) colnames(matrix) <- c("classification", "soluble_fiber") x[1:4,1] <- "bagel" x[5:8,1] <- "donut" How would I simulate a dataset for a one-way fixed-effect ANOVA (where "classification" is the treatment variable and "soluble_fiber" is the

Hi, What does your LLVM IR look like. Are you sure the loop hasnt been optimized away? Arushi On Sat, May 21, 2011 at 5:52 PM, Malveeka Tewari <mtewari at eng.ucsd.edu>wrote: > Hi > > I have the followed code for which I am writing a loop pass. > > int main() { > int i = 0; > for (i=0; i<20; i++) { > printf ("hello world %d\n", i); > }

Hi all, I have a very simple problem that I cannot seem to find the answer to. Consider the following toy dataset: x <- read.table(textConnection("V1 apples bananas cherries indv.1 7 8 4 3 indv.2 7 7 4 9"), header = TRUE) How would I change the column name of ONLY the first column, not the others? Surely I should not have to re-specify the names of ALL the columns -- e.g.,

Hello R listserve, I would appreciate someone's help with this problem. Consider the following toy dataset: x <- read.table(textConnection("worldclim.1 worldclim.2 cru.1 cru.2 indv.1 7 8 32 658 indv.2 7 7 39 422"), header = TRUE) How could I create a subset of the data based on the column prefix? For instance, let's say I wanted to subset only the columns with the

Hi, I turn to you, the R Sages, once again for help. You've never let me down! (1) Please make the following toy files: x <- read.table(textConnection("var.1 var.2 var.3 var.1000 indv.1 1 5 9 7 indv.210000 2 9 3 8"), header = TRUE) y <- read.table(textConnection("var.3 var.1000"), header = TRUE) write.csv(x, file = "x.csv") write.csv(y, file =

Is there a way to combine two columns within a data frame? Example data: id snp AL1 AL2 1500 30 A B 1510 30 A A 1520 30 A B This is what I would like: indv snp AL1AL2 1500 30 AB 1510 30 AA 1520 30 AB Any help is greatly appreciated. Alysta

Thanks, I seem to have gotten sub-registers to work. I can't seem to suppress the zero-extend sometimes. There is no need to explicitly zero extend bytes to words on this machine as all byte operations do that. I have also gotten some memory-to-memory to work. Bagel Evan Cheng wrote: > On Mar 14, 2008, at 10:17 AM, Bagel wrote: > >> I'm trying to write a backend for a

On 02/16/2017 12:08 PM, Stephen Canon wrote: >> On Feb 16, 2017, at 9:12 AM, Bagel <bagel99 at gmail.com >> <mailto:bagel99 at gmail.com>> wrote: >> >> I figured that the optimization of this would bedifficult (else it would >> have already been done :-)) > > Don’t make this assumption. There’s lots of opportunities for optimization > scattered

Hi R-people I have a question concerning subsetting. I have a dataframe which contains among other variables the variable "subject". For each subject number there are several rows, e.g.: subject treatment concentration day 19 a 15,4 1 19 a 18,3 2 19 a 2,3 3 etc. Im trying to subset the dataframe to get for

On 23 November 2010 18:03, Bagel <bagel99 at gmail.com> wrote: > Would someone be so kind as to tell me what the status of debugging symbols > (DWARF) generated by clang/llvm is? Hi Bagel, It should be fairly complete... > When I generate an executable with "clang -g" followed by "llc -O0" and feed it > to gdb, I get "no debugging symbols found".

> On Feb 21, 2017, at 9:54 PM, Nemanja Ivanovic via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > I believe that providing additional intrinsics that would directly produce the ISD::ADDC/ISD::SUBC nodes would provide the additional advantage of being able to directly produce these nodes for code that doesn't have anything to do with multiprecision addition/subtraction. I am

On 06/24/2011 03:45 PM, Chris Lattner wrote: > > On Jun 24, 2011, at 9:29 AM, Bagel wrote: > >> It appears the syntax for returning multiple values has changed since 2.9. >> Previous to that: >> ret i32 %a, i32 %b >> worked. The new syntax is something like: >> ret { i32, i32 }{i32 %a, i32 %b} >> but this yields an error: >> mrv-bug.ll:5:24:

On Mar 14, 2008, at 10:17 AM, Bagel wrote: > I'm trying to write a backend for a machine that has both byte and > word > instructions. Both varieties of instructions operate on the same > set of > general registers. A byte mode instruction on a general register > always clears > the upper bits. Register-to-register byte mode and work mode > instructions set

I think I have read that there are plans to generate object code (e.g. ELF) directly in addition to assembly language source. If so, are there plans to support branch relaxation for targets which support long/short branch displacements? This is typically done in assemblers. thanks, bagel

Would someone be so kind as to tell me what the status of debugging symbols (DWARF) generated by clang/llvm is? I am on a linux x86-64 system (Fedora 13). Is gdb supposed to understand the generated DWARF? When I generate an executable with "clang -g" followed by "llc -O0" and feed it to gdb, I get "no debugging symbols found". What is the status of lldb on