similar to: array problem

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 ,

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

Hi Renato, Firstly, I have been removing target specific information from struct type on bitcode. Target specific information are type size, type alignment, merged bitfields and so on. For example 1 struct test { 2 char a:3; 3 char b:4; 4 char c:3; 5 char d:2; 6 }; 7 8 struct test vm = {1, 2, 3, 1}; 9 10 int main(void) 11 { 12 int a; 13 vm.d = 1; 14 } Above

Hi, I need some help on integrating a function that is a vector. I have a function - vector which each element is different. And, naturally, function integrate() does not work I checked the article of U. Ligges and J. Fox (2008) about code optimization "How Can I Avoid This Loop or Make It Faster?" on http://promberger.info/files/rnews-vectorvsloops2008.pdf. Their advice did not help

Hi all, I am trying to merge 2 big data.frame. The problem is merge is memory intensive so R is going out of memory error: cannot allocate vector of size 360.1 Mb. To overcome this, I am exploring option of using data.table package. But its not helping in term of memory as merge in data.table is fast but not memory efficient. Similar error is coming. My inputs are inp1 V1 V2 1 a i1 2 a i2 3 a

*Problem-1* CASE-I---------(works fine) > var1<-"tom" > var1 [1"tom" > var1<-as.character(var1) > var1 [1] "tom" > var2<-c("tom","harry","kate") > logc<-(var1 %in% var2) > logc [1] TRUE > typeof(var1) [1] "character" > typeof(var2) [1] "character"

> I'm not following your example.  If you have two sibling loops with the same parent, one will frequently, but not always dominate the other.  Can you give a specific example of when forming a recurrence between two siblings (without one dominating the other), is useful? The situation can happen with guarded loops or with a user guard like below: if (c) { for (i = 0; i < n; i++)

Thank you a lot for your response. I will try to use your approach with chasing back along def-use chains to find instructions that define the registers used in the load. Can you tell me please what class/methods/existing path are good for this? I assume that I must have a method with arguments like the variable used into a Load instruction and a "stop instruction", like an Alloca.

* * 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

I have dataframe with 17factors variables (for example every factor have 3levels) I have maybe 5000 observation. And i need to do table where is in every raw 1 of possible combination of this factors and the numbur how many time is this combination in my dataset. I wrote one code, but this is very slow and dumb. it looks like this: i<-0 for(i1 in levels(hivdat$pohl)){

Hi Jin Gu Kang > 5 %0 = type { i3, i4, i3, i2 } each of the above struct fields occupies 1 byte. If you were hoping that an i3 field would occupy only 3 bits then I am sorry, it doesn't work that way. Ciao, Duncan.

Hi All, I want to create empty vectors inside an empty data frame.The name of the vectors has to come dynamically. For example if record_mean is my empty data frame,and i have say 4 categories,the category names for record mean data frame has to recmeanC1,recmeanC2,recmeanC3,recmeanC4,which will be dynamically created and which will again be inserted in my data frame's as column values.Each

Hi, I am trying to use sub, regexpr on expressions like log(D) ~ log(N)+I(log(N)^2)+log(t) being a model specification. The aim is to produce: "ln D ~ ln N + ln^2 N + ln t" The variable names N, t may change, the number of terms too. I succeded only partially, help on regular expressions is hard to understand for me, examples on my case are rare. The help page on R-help

I'm trying to work out the simplest way to remove the upper and lower quantiles, in this case upper and lower 25% from an array. I can do it in two steps but when I try it in one, it fails. Is there something simple missing from my syntax or are there other simple elegant way to accomplish this? Thanks J > i <-1:20 > i2 <- i[i<quantile(i,.75)] > i3 <-

I am having problems with comparing individual means in a within-subjects ANOVA. From my understanding, TukeyHSD is not appropriate in this context. So I am trying to compute contrasts, as follows: seven subjects participated in each of 6 conditions (intervals). > subject = factor(rep(c(1:7), each = 6)) > interval = factor(rep(c(1:6), 7)) and here is the dependent variable: > dv

Hi Jimmy, It's good to know that the problem is not specific to the case I ran into. May be you can provide your example as well, since Philip seems to be interested in some specific examples. If the assertion in getAddrExpr is deemed necessary, then I think a condition check would be the next best solution as it helps client code guard against such cases and make alternative arrangements to

Hi Alexandru, On 25/01/13 10:23, Alexandru Ionut Diaconescu wrote: > Thank you a lot for your response. I will try to use your approach with chasing > back along def-use chains to find instructions that define the registers used in > the load. Can you tell me please what class/methods/existing path are good for > this? I assume that I must have a method with arguments like the

Hi all, Can anyone suggest me how to insert rows in between data frames and also keep the ordering of row numbers correct? Estimate Std. Error t value Pr(>|t|) recmeanC2 9.275880e-17 6.322780e-17 1.467057e+00 0.14349903 recmeanC3 1.283534e-17 2.080644e-17 6.168929e-01 0.53781390

On 20 October 2010 06:22, Jin Gu Kang <jaykang10 at imrc.kist.re.kr> wrote: > The IR in an previous e-mail is incomplete so far and > I am converting it to various shape. Hi Jin, No worries. I'm interested in the outcome, so I'm playing the devil's advocate to make sure your proposal is consistent with the rest of LLVM. > %Char = type { c3, c4, c3, c2 } > %Short =

Hi renato, First, I really appreciate your answer. :) The IR in an previous e-mail is incomplete so far and I am converting it to various shape. My team members decided to add new types to solve the bitfield's alignment problem. Let's consider your previous examples: struct testChar { char a:3; char b:4; char c:3; char d:2; }; struct testShort { short a:3; short b:4; short c:3;