similar to: Sampling with replacement

Hello, I need to select a sample from a small population using simple random sampling without replacement. I've found two possibilities in R, the function sample() and the function S.SI() in the package TeachingSampling, but I don't know which one is better. Can someone help me? Thank you -- Lourdes Molera Peris M?todos Cuantitativos para la Econom?a y la Empresa Facultad de Econom?a

Hi all, I am wondering if do exist a function in R that allow me to sample or choose randomly the rows (i.e., samples) inside a given matrix. Thank you very much in advance. Cheers, -- Gian [[alternative HTML version deleted]]

Dear WizaRds, dear Thomas, First of all, I want to tell you how grateful I am for all your support. I wish I will be able to help others along one day the same way you do. Thank you so much. I am struggling with a multistage sampling design: library(survey) multi3 <- data.frame(cluster=c(1,1,1,1 ,2,2,2, 3,3), id=c(1,2,3,4, 1,2,3, 1,2), nl=c(4,4,4,4, 3,3,3, 2,2), Nl=c(100,100,100,100,

Hi Everyone, I was going through the Rails tutorial from here: http://ruby.railstutorial.org/chapters/filling-in-the-layout#top I was getting this exception on my WebRick server: Started GET "/assets/blueprint/print.css" for 127.0.0.1 at 2011-11-28 14:43:00 +0530 Served asset /blueprint/print.css - 404 Not Found (0ms) ActionController::RoutingError (No route matches [GET]

Hi Everyone, I am pretty new to Rails. I have very little idea about everything. But for my new project i have been asked to do some research on Solr search and implement it on Rails. Please provide me some link on tutorials and guides about Solr on Rails. Trouble is... have to do it by tomorrow. -- Posted via http://www.ruby-forum.com/. -- You received this message because you are

Hello, I am trying to interface in my teaching some elementary probability with Monte Carlo ideas. In sampling from a finite population, the number of distinct samples of size 'k' from a population of size 'n' , when individuals are selected with replacement and the selection order does not matter, is choose(n + k -1, k). Does anyone have a suggestion about how to simulate

Splus used a similar method for sampling from "bigdata" objects. One problem was that sample() is used both for creating a sample and for scrambling the order of a vector. Scrambling the order of a big vector wastes time. It would be nice to be able to tell sample() that we don't care about the order. Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Oct 17, 2017 at 10:55

Dear R users, I'm trying to randomly recreate a real dataset with missing data and I'm not quite sure if I can use the sample command for this. I think it might be better to do it in 2 steps and randomly replace the sampled data with missing data... So something like this x <- sample(10000:20000, 100) #without replacement Now I want x to contain to 20% missing data (NA). Could

Let us consider the current uniform sampling without replacement algorithm. It resides in function do_sample in https://svn.r-project.org/R/trunk/src/main/random.c Its complexity is obviously O(n), where the sample is selected from 1...n, since the algorithm has to create a vector of length n. So when the sample size is much lesser than n, the algorithm is not effective. Algorithms with

Hi Everyone, I was trying out some sample applications for Rails. I created some controllers and pages. But when i try to access one of them i get an exception on the webpage: --------------------------------------------------------------------- Sprockets::FileNotFound in Pages#home Showing c:/railscode/test_app/app/views/layouts/application.html.erb where line #6 raised: couldn''t

Dear all, suppose I have a vector with elements as: Vec <- c(2,3,4,5,6) Now I want to have all possible combination of length 3 using those elements and without any repetition. Like, I want to have 1 possibility like 2-3-4 but not 3-2-4. Can somebody guide me how to achieve that in R? Thanks for your help.

Dear WizaRds, I am struggling to compute correctly a cluster sampling design. I want to do one stage clustering with different parametric changes: Let M be the total number of clusters in the population, and m the number sampled. Let N be the total of elements in the population and n the number sampled. y are the values sampled. This is my example data: clus1 <-

Dear all, i have a dataset of about 400 records , with a variable that has  two levels 40 bad and 360 good among other variables,how do i come up  with10 random samples that have the composition of as the main sample  but maintaining the 40 bad 360 good with replacement, i recently discovered that my random samples generated dont maintain the ratio. My code is as  : mysample <-

> From: "Pavel S. Ruzankin" <ruzankin at math.nsc.ru> > Let us consider the current uniform sampling without replacement > algorithm. It resides in function do_sample in > https://svn.r-project.org/R/trunk/src/main/random.c > Its complexity is obviously O(n), where the sample is selected from > 1...n, since the algorithm has to create a vector of length n. So

Please note is with replacement From: taby gathoni <tabieg@yahoo.com> To: R help <r-help@r-project.org> Sent: Thursday, March 10, 2011 11:53 AM Subject: [R] random sampling steps in R Dear all, Could someone assist me in random sampling steps/code in R? I have a main sample of 42 males and 165 females and I want to come up with about 1000 samples of 20 males and 20 females from

Hi ALL: Suppose you have a population of N <- 5 observations, x <- c(43, 28, 7, 61, 39). From that you can draw a maximum of 10 samples without replacement of size n <- 3. (Command choose(N,n) yields 10). For instance the samples I seek are 43, 61, 7 39, 7, 28 ...etc How can I get R to do that for me, to get an exhaustive list of samples of size n drawn without replacement

Hi there, are there any R-packages for computations required in sampling theury (such as confidence intervals under random, stratified, cluster sampling; I'd be partoculary interested in confidence intervals for the population variance, which is difficult enough to find even in books)? Thanks, Christian *** --- *** Christian Hennig University College London, Department of Statistical

Dear list I wish to extract from a population genotypized for 10 SNP a subsample of the same population of size n with similar allele frequencies. Essentially i have a matrix of 200 rows (df) like this Name,Condition,rs1385699_X,rs6625163_X,rs962458_X,Rs4658627_1, sample01,Case,1,1,1,-1 sample02,Control,1,1,1,1 sample06,Control,1,-1,1,0 sample10,Case,1,1,1,0 sample11,Control,1,1,1,1

Full_Name: Patrick Burns Version: 1.6.1 OS: Suse Linux Submission from: (NULL) (217.36.14.68) Sample gives an error if it is sampling a length one character vector: > sample('a', 1) Error in sample(x, size, replace, prob) : invalid first argument The fix is trivial (numeric test in first line of the body): function (x, size, replace = FALSE, prob = NULL) { if (length(x) == 1

For a sanitation project in Bangladesh I need to design a three stage sample survey to be representative of around 40 million people. I find myself suddenly with several challenges with which I struggle and would be gratefully for any help. As the questions are linked I kept them together rather than creating multiple posts 1) SURVEY DESIGN So far I designed mainly two stage cluster surveys but