Chi Square Test on two groups of variables
If 'oxygen' is a matrix with one row or column, 'oxygen' is treated as a one-dimensional contingency table. In this case, the hypothesis tested is whether the population probabilities equal those in 'p', or are all equal if 'p' is not given. you can convert the 'oxygen' and 'train' variables to vector or take a two-dimensional contingency table by matrix(c(oxygen, train), nr=2). you will get more information when you type ?chisq.test. 2005/5/27, Brett Stansfield <brett at hbrc.govt.nz>:
Dear R help
I have been trying to conduct a chi square test on two groups of variables
to test whether there is any relationship between the two sets of variables
chisq.test(oxygen, train)
Pearson's Chi-squared test
data: oxygen
X-squared = 26.6576, df = 128, p-value = 1
chisq.test(oxygen)
Pearson's Chi-squared test
data: oxygen
X-squared = 26.6576, df = 128, p-value = 1
It looks as if R is only reading the first set of variables pertaining to
oxygen. Is there a way for it to test for two groups of variables?
brett stansfield
Brett Stansfield
Environmental Scientist - Water Quality
Hawke's Bay Regional Council
102 Vautier Street
Private Bag 6006
Napier
Phone (06) 835-9200 extn 9334
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