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 <

bre...@...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

Fax (06) 835-3601

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