Dear R-List!
Is there any function (apparently for BioStat there is!) to calculate
effect sizes with the p-values and sample sizes?
That would be really useful for meta-analysis!
Thanks for the help!
Jokel
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Hello!
I am currently working on a big data set. There are different subjects
that have been measured in about 40 different variables (in this case a
measure of brain metabolism). Now I want to look at possbile significant
correlations between those variables. As some of the variables are not
I am trying to fit a discrete function to my dataset using nls().
fit<-nls(T2~form(SOA,t1weight,t2weight,d1weight),
start=list(t1weight=1,t2weight=1,d1weight=1), data=data1, trace=TRUE)
The problem is that my function ("form") includes a discrete function
and in that function I used the varia
I am encoutering s similar problem to the one described before in
"specifying a function in nls".
I defined a function "plot_it2" in the following way:
plot_it2<-function(SOA,t1weight, t2weight, d1weight, d2weight){
sapply(SOA,plot_it,t1weight, t2weight, d1weight, d2weight)
}
fit shoul
I am having some problems while trying to fit simple data.
I aggregated some data using:
data1 <- aggregate(data1$T2, list=(SOA=data1$SOA), mean)
unfortunatly this coerces my variable SOA into a factor. Therefore when a
afterwards try to fit a simple equation to my variable T2 using a formula on
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