r - Simulating p-values for Chi-Squared Test using Monte-Carlo Method -


i'm trying write script in r allows aproximate simulation critical values (p-values) pearson chi squared test, taking different alpha values.

i know option in "chisq.test" exists, want know how simulation hand.

for example:

please check code @ http://www.biostat.wisc.edu/~kbroman/teaching/stat371/comp21.r (i don't know how put code properly)

if check last part ("p-value simulation"), you'll see way p-value obtained in script. want this, taking different alpha values.

thank much!

if have done simulation shown in script, , have derived vector of simulation values xsqsim, critical value alpha level of alpha approximately

quantile(xsqsim,1-alpha)

you have little bit careful if have small sample, because critical value should value of test statistic q such probability of observed value being greater or equal to q equal alpha ...


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