Hi,
This is a mixed conceptual/methodological issue.
I have 3 years and 2 localities, I want to compare the Sex Ratio series between
the two localities.
I can do it year by year, for instance:
> SR2010<-data.frame(FAO=c(96,52),JUNC=c(60,42))
> SR2010
FAO JUNC
1 96 60
2 52 42
> chisq.test(SR2010)
Pearson's Chi-squared test with Yates' continuity correction
data: SR2010
X-squared = 0.6995, df = 1, p-value = 0.4030
Or perhaps I could be interested
in testing if there is any difference in SR along my time series (just
three years), is that correct?:
> data1<-data.frame(Mfao=c(173,96,96),Ffao=c(136,62,52),Mjunc=c(7,26,60),Fjunc=c(5,23,42))
> data1
Mfao Ffao Mjunc Fjunc
1 173 136 7 5
2 96 62 26 23
3 96 52 60 42
> attach(data1)
> chisq.test(cbind(Mfao,Ffao),cbind(Mjunc,Fjunc))
Pearson's Chi-squared test
data: cbind(Mfao, Ffao)
X-squared = 3.4443, df = 2, p-value = 0.1787
Thanks in advance for any response
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