elp@r-project.org
Cc: Meyners, Michael
Subject: RE: [R] Pearson chi-square test
Dear Michael,
Thanks very much for your answers!
The purpose of my analysis is to test whether the contingency table x is
different from the contingency table y.
Or, to put it differently, whether there is a significant diffe
ember 2011 17:00
To: Michael Haenlein; r-help@r-project.org
Subject: RE: [R] Pearson chi-square test
Just for completeness: the manual calculation you'd want is most likely
sum((x-y)^2 / (x+y))
(that's one you can find on the Wikipedia link you provided). To get the
same from ch
n Behalf Of Meyners, Michael
> Sent: Tuesday, September 27, 2011 13:28
> To: Michael Haenlein; r-help@r-project.org
> Subject: Re: [R] Pearson chi-square test
>
> Not sure what you want to test here with two matrices, but reading the
> manual helps here as well:
>
> y a vector;
aenlein
> Sent: Tuesday, September 27, 2011 12:45
> To: r-help@r-project.org
> Subject: [R] Pearson chi-square test
>
> Dear all,
>
> I have some trouble understanding the chisq.test function.
> Take the following example:
>
> set.seed(1)
> A <- cut(runif(100)
Dear all,
I have some trouble understanding the chisq.test function.
Take the following example:
set.seed(1)
A <- cut(runif(100),c(0.0, 0.35, 0.50, 0.65, 1.00), labels=FALSE)
B <- cut(runif(100),c(0.0, 0.25, 0.40, 0.75, 1.00), labels=FALSE)
C <- cut(runif(100),c(0.0, 0.25, 0.50, 0.80, 1.00), labe
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