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
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--
Michael
http://www.dewey.myzen.co.uk/home.html
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