similar to: Fwd: SWIG with R and C++ STL

Dear all, I have a large vector (lets call it myVector) and I want to plot its value with the logic below yaxis<-myVector[1] yaxis<-c(xaxis,mean(myvector[2:3]) yaxis<-c(xaxis,mean(myvector[4:8]) yaxis<c(xaxis,mean(myvector[9:16]) yaxis<c(xaxis,mean(myvector[17:32]) this has to stop when the new ..... yaxis<c(xaxis,mean(myvector[1024:2048]) will not find the correspondent number

>From: Johannes Graumann <johannes_graumann at web.de> >Date: 2007/12/18 Tue PM 04:40:37 CST >To: r-help at stat.math.ethz.ch >Subject: [R] All anchored series from a vector? lapply(1:length(myvector) function(.length) { c(myvector[1}:myvector[.length]) }) but test it because i didn't. >Hi all, > >What may be a smart, efficient way to get the following result:

I have been trying to write a new class that reimplements the vector class. As a test of my overloading I decided to try and and call t.test on two vectors which were objects of my class rather than the default class. The overloaded length I wrote seems to work correctly. I used setMethod("length", "myvector", ...) setMethod("mean", "myvector", ...)

Hi, set.seed(29) myVector<- rnorm(100) ?seq(1,100,by=2) # [1]? 1? 3? 5? 7? 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 #[26] 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 95 97 99 myVector[seq(1,100,by=2)] rev(myVector) ?sum(myVector>0) #[1] 46 #or ?table(myVector>0) # #FALSE? TRUE ?#? 54??? 46 A.K. Hey guys, this is my first week

Yes, I am a newbie. I have a data.frame (MyTable) of 1445846 rows and 15 columns with character data. And a character vector (MyVector) of 473491 elements. I want simply to get a data.frame with the count of how many times each element of MyVector appears in MyTable. I've tried a loop with : for (i in 1 : length (myvector)) sum (MyTable== i) but it crashes my computer. I've also

Hello, I have an expression that I want to substitute for something else. myvector<-c("ajkhfkiuwe","Variable(kg/min)") if I use the following code to extract "variable(kg/min)" and substitute it for "va" gsub(myvector[grep("var", myvector, ignore=T)], "va", myvector) grep identifies the element of the vector that matches my

I have two objects, one matrix and one vector. I want to use my vector to subset certain values out of my matrix. For example: I want to tell R, to select out all rows in myMatrix into a new myMatrix2 IF that corresponding row is less than a 0.5 in myVector. So: myMatrix = a matrix of 8000 by 20 myVector = vector of 8000 myMatrix2 = a matrix of < 8000 by 20 (based on selection criteria in

Dear all, I have a vector with number that some of them are part of the   seq(1,800,4). How can I check which of the numbers belong to the seq(1,800,4)   LEt's say that is called myvector the vector with the numbers. Is there in R something like this? is.member(myvector,seq(1,800,4))   I would like to thank you in advance for your help   B.R Alex [[alternative HTML version deleted]]

Dear R-ers, still the newbie. With a question about coordinates of a vector appearing or not in a data.frame. I have a data.frame (MyData) with 3 columns which looks like this: V1 V4 redNew red-j 10.5032 appearance blood-n red-j 9.3749 appearance ground-n red-j 10.2167

Hello, Let's assume I have a vector of integers : > myvector <- c(1, 2, 3, 2, 1, 3, 5) My purpose is to obtain the cumulative distribution of these numerical data, i.e. something like : value nb_occur. <=1 2 <=2 4 <=3 6 <=4 6 <=5 7 For this, I create a table with ; > mytable <- table(myvector) 1 2 3 5 2 2 2 1 However, table() returns an array

Dear People, I have got the following example for a vector and the index of the TRUE element: Myvector <- c(FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE) which(Myvector) Now I would like to find out the same for a list: Mylist <- list(FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE) ... Does anyone know how to do this? Thank you very much in advance, Marion [[alternative HTML

Hello dear R-helpers, I haven't been able to figure out of find a solution in the R-help archives about how to delete all the characters contained in groups of parenthesis. I have a vector that looks more or less like this: myvector<-c("something (80 km/h, sd) & more (6 kg/L,sd)", "somethingelse (48 m/s, sd) & moretoo (50g/L , sd)") I want to extract all

Hi, Is there a way to do it? For example I have the following vector: > print(myvector) > [1] -295.8045 -295.8045 -295.8045 -295.8045 -325.4754 -295.8045 -295.8045 [8] -295.8045 -413.2099 -295.8045 I want it to return -295.8045, which occur most often. - Gundala Viswanath Jakarta - Indonesia

Dear all, I would like to print an empirical cdf on a vector I have while the plot(ecdf(myVector)) works great when I try to specify the line type to be a line (I get points) with plot(ecdf(myVector),type="lines") Error in plot.default(NA, NA, type = "n", xlim = xlim, ylim = ylim, xlab = xlab,  :   formal argument "type" matched by multiple actual arguments I get

hello everybody, i have got a question about lists: i have got the following commands: mylist <- list("v1"=c(1,2,2,1),"v2"=c(2,2,2,1),"v3"=c(1,1,1,1)) myvector <- c(100,10000,1000000) now i would like to multiply each element of the list with the corresponding element of the vector, that is to say: v1*100 v2*10000 v3*1000000 i only could think of lapply

Hi, How can I partitioned an example vector like this > print(myvector) [1] 30.9 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 into the following pairwise partition: PAIR1 part1 = 30.9 part2 = 60.1 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 PAIR2 part1 = 30.9 60.1 part2 = 70.0 73.0 75.0 83.9 93.1 97.6 98.8 113.9 .... PAIR9 part1 = 30.9

Dear all, I would like to create the following sequence of numbers 1 2 2 3 3 3 3 4 4 4 4 4 4 4 4 and so on (actually I double the number of same elements).... the reason is that I want then to feed the sequence above to  tapply(myVector, weirSeq, FUN = mean) and then average over those... Could you please provide some guidance how I can create such a sequence in R? Regards Alex

Hello everyone. I would like to find the sample covariance matrix using R. So far I read on the wikipedia what a sample_covariance is http://en.wikipedia.org/wiki/Sample_covariance according to wikipedia one vector is enough to calculate the sample covariance matrix. In R I tried cov(myvector) and I get the reply that I need to pass either two argument or one matrix with x,y values . How can I

Dear R users, I'm starting to use 'apply' functions rather than for loops in R, and sometimes the output is a bit different than what I want. In this case, the command was tapply(myvector,myindex,cumsum) And the output was something like this: $`SNRL1 Core 120` [1] 2.8546 4.0778 5.2983 6.3863 7.5141 8.5498 9.5839 10.6933 $`SNRL1 Core 230` [1] 7.6810 8.7648 9.8382

Hi list, I am in the process of creating a new target in LLVM/Clang for a custom 16-bit machine. My initial goal is to configure Clang so that when LLVM bytecode (or assembly) is generated, the integer size is 16 bits. After defining an appropriate TargetInfo subclass (where integer size is set to 16) the generated LLVM assembly looks almost correct, however one of the parameters for