# [R] Chi-Square Test Disagreement

From: Andrew Choens <andy.choens_at_gmail.com>
Date: Wed, 26 Nov 2008 14:51:50 +0000

I was asked by my boss to do an analysis on a large data set, and I am trying to convince him to let me use R rather than SPSS. I think Sweave could make my life much much easier. To get me a little closer to this goal, I ran my analysis through R and SPSS and compared the resulting values. In all but one case, they were the same. Given the matrix

[,1] [,2]
[1,] 110 358
[2,] 71 312
[3,] 29 139
[4,] 31 77
[5,] 13 32

This is the output from R:
> chisq.test(test29)

Pearson's Chi-squared test

data: test29
X-squared = 9.593, df = 4, p-value = 0.04787

But, the same data in SPSS generates a p value of .051. It's a small but important difference. I played around and rescaled things, and tried different values for B, but I never could get R to reach .051.

I'd like to know which program is correct - R or SPSS? I know, this is a biased place to ask such a question. I also appreciate all input that will help me use R more effectively. The difference could be the result of my own ignorance.

thanks
--andy

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Received on Wed 26 Nov 2008 - 14:54:19 GMT

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