On Aug 24, 2010, at 10:12 AM, Marino Taussig De Bodonia, Agnese wrote:

Hello,

I am trying to see whether there has been a significant difference in whether people experienced damages from wildlife in two different years. I therefore have two columns:

year 1:
yes
no
no
no
yes
yes
no

year 2:
no
yes
no
yes

I wanted to do a chisq.test, but if I enter it this way:

chisq.test(year1, year2)

I get the error saying the columns are two different lengths. So then I tried doing:

damages<-matrix(c(3,4, 2,2), ncol=2, dimnames=list(answer=c("yes", "no"), year=c("year1", year2)))
chisq.test(damages)

Which should throw an error because year2 is not quoted. Consider using prop.test:

?proptest

So your matrix is the transpose of what is needed for prop.test, at least as I read the docs:

> damages<-matrix(c(3,4, 2,2), ncol=2, byrow=TRUE, dimnames=list(year=c("year1", "year2"),success=c("yes", "no")))
> damages
       success
year    yes no
  year1   3  4
  year2   2  2
> prop.test(damages)

        2-sample test for equality of proportions with continuity correction

data:  damages
X-squared = 0, df = 1, p-value = 1
alternative hypothesis: two.sided
95 percent confidence interval:
 -0.7548099  0.6119528
sample estimates:
   prop 1    prop 2
0.4285714 0.5000000

Warning message:
In prop.test(damages) : Chi-squared approximation may be incorrect



Does that make sense? Should I maybe be doing a different test instead?

Any help would be appreciated, thank you.

Agnese

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David Winsemius, MD
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