Michael Pearmain wrote:
> Yes my mistake,
>
> I looked at the pwr.2p2n.test but i cannot place both n's and both p
> values to determine the sig value
> e,g *pwr.2p2n.test(h = , n1 = , n2 = , sig.level = , power = )
>
> or am i missing someting obvious?
>
> *
Not quite obvious, but h is the effect size and is a function of p1 &
p2, after arcsine transformation. The documentation for the pwr package
is a bit short on information on _which_ arcsine transformation that is,
though. As far as I can see, it is 2*asin(sqrt(p)), since
> pwr.2p2n.test(2*(asin(sqrt(.5))-asin(sqrt(.7))),n1=200,n2=200)
difference of proportion power calculation for binomial
distribution (arcsine transformation)
h = 0.4115168
n1 = 200
n2 = 200
sig.level = 0.05
power = 0.984427
alternative = two.sided
NOTE: different sample sizes
> power.prop.test(p1=.5,p2=.7,n=200)
Two-sample comparison of proportions power calculation
n = 200
p1 = 0.5
p2 = 0.7
sig.level = 0.05
power = 0.9849271
alternative = two.sided
NOTE: n is number in *each* group
> *i did the sam ein SPSS using a macro and the following code:
>
> COMPUTE n1 = Control_MAX .
> COMPUTE n2 = Exposed_max.
> COMPUTE x1 = Control.
> COMPUTE x2 = Exposed.
>
> COMPUTE p1 = x1/n1.
> COMPUTE p2 = x2/n2.
> COMPUTE phat = (x1 + x2) / (n1 + n2).
> COMPUTE SE_phat = SQRT(phat * (1 - phat) * ((1/n1) + (1/n2))).
> COMPUTE z = (p1 - p2) /SE_phat.
> COMPUTE SIGz_2TL = 2 * (1 - CDFNORM(ABS(z))).
> COMPUTE SIGz_LTL = CDFNORM(Z).
> COMPUTE SIGz_UTL = 1 - CDFNORM(Z).
> COMPUTE SIG_Level = ABS(1-(1-CDFNORM(z))*2).
> Compute p1p = p1*100.
> Compute p2p = p2*100.
> compute diff = p2p-p1p.
> EXE.
> Var lab p1p "Control Group %".
> Var lab p2p "Exposed Group %".
>
>
>
> *
>
>
> On Tue, Jun 17, 2008 at 5:13 PM, Peter Dalgaard
> <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> wrote:
>
> Michael Pearmain wrote:
> > Hi All,
> >
> > I have a table based on ordial data and i want to compare
> proportions and
> > i've seen in the pwr package i can use
> > power.prop.test
> >
> > however i want to find out what the sig. value is based on
> n1,n2,p1,p2 and
> > this package doesn't contain this..
> > Does anyone know of a package that does or is it a case of
> writting a
> > function specifically for this?
> >
> >
> I think your wired got crossed somewhere:
>
> power.prop.test is not from the pwr package; however, pwr does
> contain pwr.2p2n.test, which looks like it does exactly what you want!
>
>
> > Many thanks in advance
> >
> > [[alternative HTML version deleted]]
> >
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> >
>
>
> --
> O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
> c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
> (*) \(*) -- University of Copenhagen Denmark Ph: (+45)
> 35327918
> ~~~~~~~~~~ - ([EMAIL PROTECTED]
> <mailto:[EMAIL PROTECTED]>) FAX: (+45) 35327907
>
>
>
>
>
> --
> Michael Pearmain
> Senior Statistical Analyst
>
>
> 1st Floor, 180 Great Portland St. London W1W 5QZ
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>
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--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907
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