Dear Rui, You can insert a “formula” argument in the code. For example, if you boot a regression, you can insert the formula in the command. Though I just realised that it is not necessary to do.
All the best, Christoph > On 1 Oct 2016, at 19:49, ruipbarra...@sapo.pt wrote: > > Sorry, but what formula? formula is not a ?boot argument. > To the OP: Michael is probably right, if you reset the seed each time, you'll > get equal values, otherwise you should get different results due to > randomization. > > Rui Barradas > > > Quoting Christoph Puschmann <c.puschm...@student.unsw.edu.au>: > >> Dear Bryan, >> >> Did you try to include formula in the boot command? like: >> >> results <- boot(data, statistic, R, formula) >> >> All the best, >> >> Christoph >> >>> On 1 Oct 2016, at 19:24, Michael Dewey <li...@dewey.myzen.co.uk> wrote: >>> >>> Dear Bryan >>> >>> You are not resetting the seed each time by any chance? >>> >>> Michael >>> >>> On 01/10/2016 02:44, Bryan Mac wrote: >>>> Hi, >>>> >>>> I have read the help page and it was helpful but, I am having concerns >>>> because each time I run this code I get the same value. >>>> I expected that each time I run the code, I will get different values due >>>> to random sampling. >>>> >>>> How do I get this randomization? The values shouldn’t be the same each >>>> time the code is run, correct? >>>> >>>> >>>> result <- boot(n_data, statistic = DataSummary, R = 100). >>>> >>>> >>>> Best, >>>> >>>> Bryan Mac >>>> bryanmac...@gmail.com >>>> >>>> >>>> >>>>> On Sep 29, 2016, at 12:16 PM, ruipbarra...@sapo.pt wrote: >>>>> >>>>> Hello, >>>>> >>>>> Read the help page ?boot::boot. >>>>> For instance, try the following. >>>>> >>>>> >>>>> library(boot) >>>>> >>>>> x <- rnorm(100) >>>>> stat <- function(x, f) mean(x[f]) >>>>> boot(x, stat, R = 100) >>>>> >>>>> Hope this helps, >>>>> >>>>> Rui Barradas >>>>> >>>>> >>>>> >>>>> Citando bryan.mac24 <bryan.ma...@gmail.com>: >>>>> >>>>>> Hi all, >>>>>> I am wondering how to conduct bootstrapping in R. I need bootstrap 100 >>>>>> times. The trick I need to figure out is how to do get a random sample >>>>>> of 100 out of the total number of case. >>>>>> Best, >>>>>> BM >>>>>> [[alternative HTML version deleted]] >>>>>> >>>>>> ______________________________________________ >>>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>>>> 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. >>>>> >>>>> >>>>> >>>> >>>> >>>> [[alternative HTML version deleted]] >>>> >>>> ______________________________________________ >>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>> 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. >>>> >>> >>> -- >>> Michael >>> http://www.dewey.myzen.co.uk/home.html >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> 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. > > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.