Hi Evrim,
chisq.test() performs chi^2 GOF tests.
However, the chi^2 test may be sensitive to how you bin your data if you
are working with continuous data (as I infer from your mentioning
cutting). You may want to look at other GOF tests. Perhaps the NIST
statistics is a good starting point:
http://www.itl.nist.gov/div898/handbook/index.htm
HTH,
Stephan
evrim akar schrieb:
Dear R users,
I am a master student in Mathematics and I am writing my thesis in
statistics. I need to use R and unfortunately I do not have any experience
with a computer program. Could you please help me about chi squared goodness
of fit test with R? In R-help website I saw a message about how to do that
but I do not know how to cut the data into bins and calculate the expected
numbers in each bin. Moreover I have to count the observed data in each bin
and I do not know how to do that either. I really need help as its an
essential part of my study.
I appreciate if you could help.
Thank you in advance,
regards,
Evrim Akar
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