nTime <- 15 # how many samples to take randomSamples <- lapply(1:2000, function(){ largeDF[sample(nrow(largeDF), nTimes),] })
This will create a list of 2000 dataframes with the samples On Sun, Sep 27, 2009 at 10:45 PM, ewaters <ewat...@nchecr.unsw.edu.au> wrote: > > I have a large data frame, 77 rows, with 10 columns. Each row represents a > unique individual with 10 characteristics, some of which are categorical > factors and some continuous numeric variables. Each of the ten variables is > important (the 10 columns obviously correspond to the individuals of > interest). Importantly, this data set represents a population (not sample) > of people with a certain medical condition. > > What I want to do is to select 2000 random samples of between 2 and 24 > individuals, preserving all the information. > > I can easily write loops that will sample from 1:77 2 - 24 times, what I > really want to know is there any way to easily link the output of loops like > that to the data set so I don't have to trawl through and do it manually > 2000 times? > > Any advice on whether I should even attempt that in R, or try some sort of > hash table in C or somewhere, would be appreciated. > -- > View this message in context: > http://www.nabble.com/A-programming-question---is-what-I-want-to-do-possible-in-R--tp25639955p25639955.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.