similar to: Reading word by word in a dataset

Yes! You are right ! It is perpendicular to the axis. Thank you very much! Could I choose the angle ,such as 45 degree? Best Regards! Ivy Li YMS in Production & Testing Semiconductor Manufactory International(ShangHai) Corporation #18 ZhangJiang Road, PuDong New Area, Shanghai, China Tel: 021-5080-2000 *11754 Email: Ivy_Li at smics.com -----orig--- Hi Ivy, How about x <-

Thank you for your help! I gave you an example, you could run it in R . Maybe you will understand my meaning clearly. x <- data.frame(main.name="AAA", x.name=rep(c("Apply","Watermelon","Lemon","Banana",

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 Everyone, quick question 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,

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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))) } }

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 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 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'm having a problem with a step that should be pretty simple. I have a dataframe, d, with column names : gene s1 s2 s3. The column "gene" stores an Id; the rest of the columns store intensity data. I would like to extract the rows for gene Ids i1, i2, i3 ( I know a priori that those rows exist). So I do this: subset(d, gene %in% c(i1, i2, i3)). This does not give me the

On 08/16/2013 02:42 AM, Star Tan wrote: > At 2013-08-16 12:44:02,"Tobias Grosser" <tobias at grosser.es> wrote: >> Hi, >> >> I tried to reproduce your findings, but could not do so. > > > Sorry, I did not put all code in my previous email because the code seems a little too long and complicated. > You can refer to the detailed C code and LLVM IR

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

On 19 October 2010 07:57, Jin Gu Kang <jaykang10 at imrc.kist.re.kr> wrote: > Frist, I have been implementing common type for struct type on bitcode > at compilation time using llvm-gcc and then changing common type to target > specific types at code generation time using llc (reconstruct StructLayout). Hi Jin, Apart from bitfields and unions, the struct type is pretty much target

Dear R-users, I have output files having a variable number of tables in the following format: ------------- 1 Pietje I1 I2 Value 1 1 0.11 1 2 0.12 2 1 0.21 2 Jantje I1 I2 I3 Value 1 1 1 0.111 3 3 3 0.333 ... ------------- Would there be an easy way of turning this into (a list of) data.frames with names Pietje, Jantje and variables I1,I2,...Value? (I1,I2 are string or categorical,

Hello, After putting together interaction code that worked for a single pair of interactions, when I try to evaluate two pairs of interactions( flowers*gopher, flowers*rockiness) my computer runs out of memory, and the larger desktop I use just doesn't go anywhere after about 20 minutes. Is it really that big a calculation? to start: mle2(minuslogl = Lily_sum$seedlings ~ dnbinom(mu = a,

dear Jim, Thanks for your reply and your proposition. I forgot to provide the header of the dataframe, here it is: ================================================================================ Byte-by-byte Description of file: lvg_table2.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations

Hi LLVM members, I have been working to make target independent memory layout for struct type(Aggregate type) in my team. I think that struct type has different memory layouts according to each target system in current LLVM. To implement target dependent concept for struct type, Frist, I have been implementing common type for struct type on bitcode at compilation time using llvm-gcc and then

At 2013-08-16 12:44:02,"Tobias Grosser" <tobias at grosser.es> wrote: >Hi, > >I tried to reproduce your findings, but could not do so. Sorry, I did not put all code in my previous email because the code seems a little too long and complicated. You can refer to the detailed C code and LLVM IR code on http://llvm.org/bugs/show_bug.cgi?id=16843 There are four attachments

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

On Thu, Jul 24, 2008 at 2:00 PM, Mark Leone <markleone at gmail.com> wrote: > Is irreducibility a problem for existing LLVM passes? There aren't any LLVM passes that expect a reducible CFG at the moment; of course, some passes are more effective with reducible CFGs. > It looks like > there was once an open project for a pass to make irreducible graphs > reducible. Was that