I need to run binomial tests (binom.test) on a large set of data, stored in a table - 600 tests in total.
The values of x are stored in a column, as are the values of n. The data for each test are on a separate row. For example: X N 11 19 9 26 13 21 13 27 18 30 It is a two-tailed test, and P in all cases is 0.5. My question is: Is there a quicker way of running these tests without having to type an individual command for each test - and ideally also to store the resulting p-values in a single data vector? Many thanks for any pointers, Andrew Wilson ______________________________________________ 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.
