similar to: missing values in an array

Is there no better way to merge one array into another than iterating over the array you wish to append with each() and push()ing the elements on to the other array? Here''s what I mean: var arr1 = [1, 2, 3, 4, 5]; var arr2 = [''a'', ''b'', ''c'']; $A(arr2).each(function(el) { arr1.push(el) }); Is there no better way to do it than this?

Dear All, Sorry for asking a newbie question. I want to ask how to import 1000 datasets whose file names are labelled from data1.dat to data1000.dat into R so that they are named M[1, , ] to M[1000, , ] accordingly. Thank you very much. Best Regards, Ray [[alternative HTML version deleted]]

Hi, Is there a way in llvm IR to emit multiple data elements within a single compilation unit that a) are guaranteed to appear sequentially in the final binary (in the order they appear in the llvm IR), and b) will be removed on an individual basis by the optimizers and/or linker in case they are not referenced from anywhere ? Defining them as "appending" puts them all into a

Dear All, Here is a hypothetical sample (sorry for the clumsy code): A1 <- matrix(1:5, nrow=5, ncol=1) A2 <- matrix(6:10, nrow=5, ncol=1) A3 <- matrix(11:15, nrow=5, ncol=1) A4 <- matrix(16:20, nrow=5, ncol=1) A5 <- matrix(21:25, nrow=5, ncol=1) A6 <- matrix(26:30, nrow=5, ncol=1) B1 <- matrix(c(A1, A2, A3), nrow=5, ncol=3) B2 <- matrix(c(A2, A3, A4), nrow=5, ncol=3) B3

Hi everyone, Speed is the key here. I need to find the difference between a vector and its one-period lag (i.e. the difference between each value and the subsequent one in the vector). Let's say the vector contains 10 million random integers between 0 and 1,000. The solution vector will have 9,999,999 values, since their is no lag for the 1st observation. In R we have: #Set up input vector

Hello Chandler, > ``` > void f(int *arr1, int *arr2, int length) { > intptr_t rel_offset = arr2 - arr1; > int *arr1_end = arr1 + length; > for (int *p = arr1; p < arr1_end; p += sizeof(int)) { > do_something(p, p + rel_offset); > } > } > ``` > > For example, a common loop optimization technique is something like the following in *pseudocode* (note

Hello Chandler, > First and foremost - how do you address correctness issues here? Because the subtraction `A - B` can escape/capture more things. Specifically, if one of `A` or `B` is escaped/captured, the > subtraction can be used to escape or capture the other pointer. So *some* of the conservative treatment is necessary. What is the plan to update all the analyses to remain correct?

On 01/08/14 19:37, Reid Kleckner wrote: > What happens if you drop appending linkage? I think it will just work, > since you are already using a custom section, which will ensure that all > the data appears contiguously in memory. Thanks for the suggestion, but it still puts everything in a single .section statement. > Although, I do worry about what LLVM's alias analysis will

I have two tables: Table [packages] id name user_name ------------------- 1 PK1 Ray ------------------- Table [users] id name full_name ------------------- 2 Ray Ray Sun ------------------- My purpose is to find the full name when I find packages. So I modify Model Package to: class Package < ActiveRecord::Base belongs_to :user, :class_name => "User",

Hi, I''m trying to implement a live search that supports searching for multiple words. So for example, if I type "ruby rails" in the search field, I would return results that have either the word "ruby" in them or the word "rails" in them. However, this is just a background as to what the following code is trying to do and might not even be needed to fix

You can use na.strings="" in read.table() or read.csv() library(stringr) vec1<-unlist(str_split(readLines(textConnection("3,7,11,,12,14,15,,17,18,19")),",")) ?vec1[vec1==""]<- NA ?vec1 # [1] "3"? "7"? "11" NA?? "12" "14" "15" NA?? "17" "18" "19" #or

I am trying to Sweave the output of calculating correlations between one variable and several others. I wanted to print a table where the odd-numbered rows contain the variable names and the even-numbered rows contain the correlations. So if VarA is correlated with all the variables in mydata.df, then it would look like var1 var2 var3 corr1 corr2 corr3 var4 var5

Dear All, I've a 10 by 5 data frame like this set.seed(1001) a <- rnorm(10) b <- rnorm(10) c <- rnorm(10) d <- rnorm(10) e <- rnorm(10) A <- cbind(a,b,c,d,e) Each row is one datum. I want to resample within A[,5]. Fit the regression lines lm(A[,5] ~ A[,1] + A[,2]) and lm(A[,5] ~ A[,3] + A[,4]) to each bootstrap sample. I don't know how to write the statistics part. Can

Dear All, I wrote a function datagen to simulate a dataset. I would like to generate 1000 datasets and export them with file names from data0001.dat to data1000.dat. Would anybody please provide some useful codes on this? Thank you very much. Best Regards, Ray [[alternative HTML version deleted]]

you can pull it with jQuery via javascript for example evry 10 seconds, and update the informations you want, at least its the way i do it. Am 23.11.2023 um 00:13 schrieb Thomas Jensen: > Thank you, Ben! > > I was afraid it would be very complicated to get the information > extracted, but it was very simple. My only problem now is to find a way > to update the text on the

Thank you, Ben! I was afraid it would be very complicated to get the information extracted, but it was very simple. My only problem now is to find a way to update the text on the webpage. I was hoping sleep(5) could do the trick, but it does not work. <?php if (1) { $jsonobj=file("http://radio.protestbandet.dk:8000/status-json.xsl"); //var_dump($jsonobj);

Hey all, I have a list of matrices. I'd like to calculate the median across all those matrices for each element. What I'd like to end up with is a matrix containing the median of all [1,1] [1,2] etc. elements across all matrices. Is there a concise way of doing that? Thanks!

Hi I'm trying to set up a simulation problem without resorting to (m)any loops. I want to set entries in a data frame of zeros ('starts' in the code below) to 1 at certain points and the points have been randomly generated and stored in a separate data.frame ('sl'), which has the same number of columns. An example of the procedure is as follows: ml <-

Hi'' Rails riders. I having upgraded everything and upgraded to Rails 2.2.2 I now wanted to install the MySQL gem as I am getting the following error when trying to load up the app. no such file to load -- mysql Normally running gem install mysql works with no problems but, now I get the following: >gem install mysql gem install mysql Successfully installed mysql-2.7.3-x86-mswin32 1

Dear Duncan, Everything worked out with your help. Thanks. I'm now looking at bound checks that an Ada program has, so I can remove all possible. It seams that Ada already does some optimization to remove bound checks. Do you know how are they done, and where? I tested two codes (below) and the first code did not produce any bound check and the second produced two bound checks. -- -- Simple