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Apr 11, 2012 at 2:09 vote accept Legend
Apr 9, 2012 at 21:01 vote accept Legend
Apr 11, 2012 at 2:09
Apr 9, 2012 at 19:48 answer added Peter Ellis timeline score: 1
Apr 9, 2012 at 10:57 comment added chl This Pearson's $\chi^2$-test is related to a test of independence between rows and columns of your dput object (43 rows x 2 columns, hence 42 df), which doesn't resemble any of the raw or counts data supplied above. This certainly does not test whether "there is a relationship between the dataset type and the category frequency counts". A correct $\chi^2$ would have (# items - 1) x (# categories - 1) df, provided it makes sense to use such a test. We need additional information to help you more.
Apr 9, 2012 at 7:18 history edited Legend CC BY-SA 3.0
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Apr 9, 2012 at 7:04 history edited Legend CC BY-SA 3.0
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Apr 9, 2012 at 6:58 history asked Legend CC BY-SA 3.0