similar to: Transforming sequence data into numeric values.

How do i resolve this? symbol <- c('RRR' ,'GGG') for(i in seq_along(symbol)) { dat <- Quandl("LLL/symbol[i]") } required solutionis a loop where Quandl is a function and it loops as flows, Quandl("LLL/RRR") Quandl("LLL/GGG")

Dear all I use R for Windows 2.3.1 on a fully updated Windows XP Home SP2 machine and I have two related regular expression problems. platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

When I was trying to run mutiple E1s over TDMoE, the zaptel would drivers complain about too little memory, whenever I added more than 31 channels. Requesting 62 channels in a dynamic span gave me ... span creation failed: Cannot allocate memory upon loading the zaptel drivers. How would you go about running, 8 or 16 say, E1s over TDMoE? Would you create multiple dynamic spans or just one large

On Jan 29, 2013, at 12:51 AM, Tobias Grosser <tobias at grosser.es> wrote: > > # ignore assumed dependences. > for (i = 0; i < 4; i++) { > tmp1 = A[3i+1]; > tmp2 = A[3i+2]; > tmp3 = tmp1 + tmp2; > A[3i] = tmp3; > } > > Now I apply for whatever reason a partial reg2mem transformation. > > float tmp3[1]; > > # ignore assumed

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

Consider the following C code: typedef __attribute__(( ext_vector_type(2) )) float float2; typedef __attribute__(( ext_vector_type(2) )) __attribute__(( aligned(4) )) float float2_align2; void foo(void) { const float * p; size_t offset; float2 tmp = *((float2_align2 *)(p+offset)); } When compiled with clang ‹emit-llvm I get: define void @foo() { entry: %p = alloca float*, align 4

Hi all, I would like to know if LLVM Neon intrinsics are designed to support only 'Legal' types for NEON units. Using llc -march=arm -mcpu=cortex-a9 vmax4.ll -o vmax4.s on following ll code: ; ModuleID = 'vmax.ll' target datalayout = "e-p:32:32:32-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-n32" target triple =

On Fri, Sep 21, 2012 at 1:28 AM, Sebastien DELDON-GNB <sebastien.deldon at st.com> wrote: > Hi all, > > I would like to know if LLVM Neon intrinsics are designed to support only 'Legal' types for NEON units. > Using llc -march=arm -mcpu=cortex-a9 vmax4.ll -o vmax4.s on following ll code: > > > ; ModuleID = 'vmax.ll' > target datalayout =

Given a set of integers of different values how do I calculate the minimum number of the largest of integers that are required, when summed, to equal 50% of the total sum of the the set? For example, > length(myTable$lgth) [1] 303403 > sum(myTable$lgth) [1] 4735396 I know through brute force that the N50 of the following set is 42 but I don't know how to solve this without iteration

Hi, Attached is a patch which uses a simple "parallel_loop" metadata attached to the loop branch instruction in the loop latch for skipping cross-iteration memory dependency checking in the LoopVectorizer. This was briefly discussed in the email thread "LoopVectorizer in OpenCL C work group autovectorization". It also converts the "min iteration count to vectorize"

Hi, all I found in some cases the int variable get promoted to i64, although I think it should i32. I use the online demo (http://llvm.org/demo). And below is the test case. ------------- test case ------------- int test(int x[], int y[], int n) { int i = 0; int sum = 0; for ( ; i < n; i++) { sum += x[i] * y[i]; } return sum; } ------------------------------------- No

On 01/29/2013 07:58 PM, Nadav Rotem wrote: > > On Jan 29, 2013, at 12:51 AM, Tobias Grosser <tobias at grosser.es > <mailto:tobias at grosser.es>> wrote: > >> >> # ignore assumed dependences. >> for (i = 0; i < 4; i++) { >> tmp1 = A[3i+1]; >> tmp2 = A[3i+2]; >> tmp3 = tmp1 + tmp2; >> A[3i] = tmp3; >> } >>

From POSIXct to numeric and back with time zone I am running regressions on data which has time series with different time resolution. Some data has hourly resolution, while most has either daily or weekly resolution. Aggregation is used to make the hourly data daily, while liner interpolation is used to find daily data from the weekly time series. This data manipulation requires some careful

Hi Eli, Thanks for the answer, it clarifies the situation for me. Do you know if there is Pass in LLVM that could be adapted to 'legalize' intrinsics calls ? Or shall I define my own intrinsics for non supported types ? Best Regards Seb ________________________________________ De : Eli Friedman [eli.friedman at gmail.com] Date d'envoi : vendredi 21 septembre 2012 11:54 À : Sebastien

Hi, Wrong UIDs are returned from mailbox_transaction_commit_get_uids() in dovecot-1.1.rc3. The problem is in: int mailbox_transaction_commit(struct mailbox_transaction_context **t) { uint32_t tmp; return mailbox_transaction_commit_get_uids(t, &tmp, &tmp, &tmp); } It should be: int mailbox_transaction_commit(struct mailbox_transaction_context **t) { uint32_t tmp1,

Hello R experts, I'd like to studentize a matrix (tmp1) by column using apply() function and skip some specific values such as zeros in the example below to tmp2 but not tmp3. I used the script below and only can get a matrix tmp3. Could you please help me to studentize the matrix (tmp1) without changing the zeros and generate a new matrix tmp2? Thanks, Joshua tmp1 [,1] [,2] [,3] [,4]

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

On 01/28/2013 12:58 PM, Pekka Jääskeläinen wrote: > Hi, > > Attached is a patch which uses a simple "parallel_loop" metadata attached > to the loop branch instruction in the loop latch for skipping > cross-iteration > memory dependency checking in the LoopVectorizer. This was briefly > discussed > in the email thread "LoopVectorizer in OpenCL C work group

Here is a demonstration of behaviour that is probably an optimization by someone far smarter than me that did not anticipate anyone wanting to do this, but for my purposes it looks more like a bug than a feature. I have tested this with R2.6.2 on Windows, no additional packages loaded (beyond the default), I have tested using the default graphics object, pdf, jpeg, and cairoDevice (ok I loaded a

Some of the optimizations that the first DAG combine performs is counter productive for our 8-bit target. For example in: // I dropped the types because they are irrelevant. // Excuse me for changing the syntax... store %tmp1, %var %tmp2 = load %var %tmp4 = add %tmp3, %tmp2 Since load is the only user of var and since var has just be stored to, it assumes that %tmp1 is alive and it goes ahead