search for: i2

Hi friends, Please can anyone help me with an easier solution of doing the below mentioned work. Suppose i have a dataset like this:--- i1 i2 i3 i4 i5 1 7 13 1 2 2 8 14 2 2 3 9 15 3 3 4 10 16 4 4 5 11 17 5 5 6 12 18 6 7 *i1,i2,i3,i4,i5 are my items.I am able to find all possible pairs i.e Say this dataframe is "item_pairs" **i1,i2 **i1,i3 **i1,i4 i1,i5 **i2,i1 **i2,i3 i2,i4 i2,i5 **i3,i1 **i3,i2 **i3,i...

...= read.jpeg( 'f.jpg') n = read.jpeg( 'n.jpg' ) ? ## Conditions: I want to insert the images?given these conditions, and then center each image for h== 0 (that is inserting only one image for midnight, otherwise I'd get 24 images together) ? fri1 <- function(x){ plot( ifelse( I2$image == "f" && I2$h == 0, f, NA )) } fri2 <- function(x){ plot( ifelse( I2$image == "n" && I2$h == 0, n, NA )) } fri3 <- function(x){ plot( ifelse( I2$image == "2c" && I2$h == 0, c2, NA )) } fri4 <- function(x){ plot( ifelse( I2$image...

...n before the end of the year. I have soem indices to select data from a bigger sample. I want to select n days before each index and n days after the index. Any clever way to do it. A for loop would do but I wanted to know if there is a moreR-friendly way to approach this Example # InitialIndices i2 = (90, 190, 290) # Indices I want to end up with i3 = c(85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295) # A way to get Final Indices SampleWidth i3 = c(i2) for (j in seq(1, SampleWidth )) { i3...

...n Pettersson A wrote: > > (Not sure if this exactly maps to “truncating store”, but I think it > at least touches some of the subjects discussed in this thread) > > Our out-of-tree-target need several patches to get things working > correctly for us. > > We have introduced i24 and i40 types in ValueTypes/MachineValueTypes > (in addition to the normal pow-of-2 types). And we have vectors of > those (v2i40, v4i40). > > And the byte size in our target is 16 bits. > > When storing an i40 we need to store it as three 16-bit bytes, i.e. 48 > bits. >...

I'm using functions to return a matrix of all permutations of a specified size from a larger list for predictor selection. For each predictor size I use a seperate function like this: bag2 <- function(n) { rl <- c() for (i1 in seq(n)) { for (i2 in seq(n)) { if (length(unique(c(i1,i2)))==1) {next} rl <- cbind(rl,matrix(c(i1,i2))) } } rl } bag3 <- function(n) { rl <- c() for (i1 in seq(n)) { for (i2 in seq(n)) { for (i3 in seq(n)) { if (length(uniq...

hello. i downloaded the latest i2 wiki from the subversion repository. i''m not able to see it working even running under webrick (under windows xp sp2). i created the database (mysql 4.1) via "rake migrate" and instantiated the first web through the console (as suggested by the readme file). when running it what...

...e = 47248855040 offset = 40, ptrValue = 47246749696 offset = 48, ptrValue = 47247802368 offset = 16, value = 64 offset = 20, value = 64 offset = 24, value = 64 MemoryAccess to pointer: float* inttoptr (i64 47246749696 to float*) { Stmt__12_cloned_[i0, i1, i2] -> MemRef_nttoptr (i64 47246749696 to float*)[4096i0 + 64i1 + i2] } allocSize: 4 storeSize: 4 replacedBy: { Stmt__12_cloned_[i0, i1, i2] -> NULL[o0] : o0 >= 47246749696 + 16384i0 + 256i1 + 4i2 and o0 <= 47246749699 + 16384i0 + 256i1 + 4i2 } MemoryAccess to pointer: float* i...

(Not sure if this exactly maps to “truncating store”, but I think it at least touches some of the subjects discussed in this thread) Our out-of-tree-target need several patches to get things working correctly for us. We have introduced i24 and i40 types in ValueTypes/MachineValueTypes (in addition to the normal pow-of-2 types). And we have vectors of those (v2i40, v4i40). And the byte size in our target is 16 bits. When storing an i40 we need to store it as three 16-bit bytes, i.e. 48 bits. When storing a v4i40 vector it will be st...

...to come. ESWG Consensus 12-month Report on Nomadic VoIP Technical and Operating Impediments to 9-1-1/E9-1-1 Service Delivery in Canada. PREPARE FOR 911 Executive Summary Emergency Services Working Group (ESWG) recommends on a consensus basis the Commission order the deployment of NENA Interim-2 (i2) compliant emergency services components, systems and upgrades to result in the operation within 18 months of enhanced 9-1-1 services for nomadic and fixed/non-native VoIP callers in Canada. ESWG also recommends that the Commission establish for planning purposes a milestone for the transition of...

ESWG Consensus 12-month Report on Nomadic VoIP Technical and Operating Impediments to 9-1-1/E9-1-1 Service Delivery in Canada Executive Summary Emergency Services Working Group (ESWG) recommends on a consensus basis the Commission order the deployment of NENA Interim-2 (i2) compliant emergency services components, systems and upgrades to result in the operation within 18 months of enhanced 9-1-1 services for nomadic and fixed/non-native VoIP callers in Canada. ESWG also recommends that the Commission establish for planning purposes a milestone for the transition of...

On 01/01/2013 02:45 PM, Duncan Sands wrote: > Hi Dmitry, > >> >> In our compiler we use a modified version LLVM Polly, which is very >> sensitive to >> proper code generation. Among the number of limitations, the loop region >> (enclosed by phi node on induction variable and branch) is required to >> be free >> of additional memory-dependent

ESWG Consensus 12-month Report on Nomadic VoIP Technical and Operating Impediments to 9-1-1/E9-1-1 Service Delivery in Canada DRAFT Executive Summary Emergency Services Working Group (ESWG) recommends on a consensus basis the Commission order the deployment of NENA Internet-2 (i2) compliant emergency services components, systems and upgrades to result in the operation within 18 months of enhanced 9-1-1 services for nomadic and fixed/non-native VoIP callers in Canada. ESWG also recommends that the Commission establish for planning purposes a milestone for the transition of...

...east diss. using list of NNs DMIN=INF DO 600 I=1,N-1 IF (.NOT.FLAG(I)) GOTO 600 IF (DISNN(I).GE.DMIN) GOTO 600 DMIN=DISNN(I) IM=I JM=NN(I) 600 CONTINUE NCL=NCL-1 C C This allows an agglomeration to be carried out. C I2=MIN0(IM,JM) J2=MAX0(IM,JM) IA(N-NCL)=I2 IB(N-NCL)=J2 CRIT(N-NCL)=DMIN FLAG(J2)=.FALSE. C C Update dissimilarities from new cluster. C DMIN=INF DO 50 K=1,N IF (.NOT.FLAG(K)) GOTO 50 IF (K.EQ.I2) GOTO 50 IF (I2.LT.K) THEN...

Dear list, I have a list of matrices : i1 <- matrix(1:10, nrow = 2, ncol = 5) i2 <- matrix(11:20, nrow = 2, ncol = 5) j <- list(i1 = i1, i2 = i2) I would like to attribute names to each dimension, for each matrix, as follows : $i1 B1 B2 B3 B4 B5 A1 1 3 5 7 9 A2 2 4 6 8 10 $i2 B1 B2 B3 B4 B5 A1 11 13 15 17 19 A2 12 14 16 18 20 However, I have to use lapply function and...

...re not sure how much has been tried before, or even makes sense, but we're eager to learn. Briefly the projects are: SSE2 Hoisting: translating programs that directly use SSE2 intrinsics into platform-independent code expressed with LLVM IR. Long integer support: systematic support for i128, i256, ... targetting SIMD registers. Systematic strategies for the shufflevector operation. This is a very powerful operation that can be used to code for arbitrary rearrangement of data in SIMD registers. No architecture we know of supports it in its full generaility. But there are many spec...

False Alarm!! Still don't know how to do it! I am trying to write a transformation pass to extract a loop body into a function. For example: The Loop in question is: for (i2 = 0; i2 < LOOP_SIZE; i2++) { A[B[i2]] = 2 * B[i2]; } The IR for which is: bb13: ; preds = %bb13, %bb %i2.0.reg2mem.0 = phi i32 [ 0, %bb ], [ %indvar.next62, %bb13 ] ; <i32> [#uses=2] %tmp15 = getelementptr [25 x i32]* %B, i32 0, i32 %i2.0.reg2mem...

* * Hi , Can anyone help me please with this problem?* * *CASE-I* all_raw_data_NAomitted is my data frame.It has columns with names i1 ,i2, i3,i4…, till i15.It has 291 rows actually ,couldn’t show here. The data frame looks like this:-- i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 i12 i13 i14 i15 2 2 2 2 2 2 2 2 2 2 2 1 2 2 3 2 3 2 2 2 2 3 2 2 3 3 3 2 3 3 3 3 4 2...

...length(v) I would have thought I wanted storage.mode(a) <- storage.mode(nm) <- storage.mode(nv) <- "integer" to go with the following C code # include <Rinternals.h> SEXP prod_integer(SEXP X, SEXP M, SEXP v, SEXP a, SEXP nm, SEXP nv) { int i = INTEGER(a)[0], i1 = 0, i2 = 0; for ( ; i1 < INTEGER(nm)[0]; i2 = (++i2 == INTEGER(nv)[0]) ? 0 : i2) { REAL(X)[i++] = REAL(M)[i1++] * REAL(v)[i2]; } return(X); } Running this is R gives the following timings on my PC > dyn.load("D:/C_routines/prod_integer") > for(i in 1:3) {print(system.time(...

I am trying to multiply a 3D array of 4x4x4 by the 4 3D arrays of a 4D array with dimensions 4x4x4x4 (the last dimension being the one that I want to split by). (4x4x4 array) > hiaAry , , a1 i1 i2 i3 i4 h1 9.5936098 6.001040 0.08772 0.3138600 h2 1.2003500 1.454570 2.79248 0.0000000 h3 0.1346500 0.201220 0.39256 0.5464000 h4 0.0109000 0.012270 0.16417 0.2766900 , , a2 i1 i2 i3 i4 h1 195.08275 74.23508453 39.23165 14.89689 h2 1.80127 7.41649055...

Crossed random effects: > lmer( y ~ (1 | i1) + (1|i2) ,data=dta) Linear mixed-effects model fit by REML Formula: y ~ (1 | i1) + (1 | i2) Data: dta AIC BIC logLik MLdeviance REMLdeviance 91.18 94.84 -42.59 85.2 85.18 Random effects: Groups Name Variance Std.Dev. i1 (Intercept) 0.068224 0....