Hi All,
I'm conducting a meta-analysis and have taken a data.frame with multiple
rows per
study (for each effect size) and performed a weighted average of effect size
for
each study. This results in a reduced # of rows. I am particularly
interested in
simply reducing the additional variables in the data.frame to the first row
of the
corresponding id variable. For example:
id<-c(1,2,2,3,3,3)
es<-c(.3,.1,.3,.1,.2,.3)
mod1<-c(2,4,4,1,1,1)
mod2<-c("wai","other","calpas","wai","itas","other")
data<-as.data.frame(cbind(id,es,mod1,mod2))
data
id es mod1 mod2
1 1 0.3 2 wai
2 2 0.1 4 other
3 2 0.2 4 calpas
4 3 0.1 1 itas
5 3 0.2 1 wai
6 3 0.3 1 wai
# I would like to reduce the entire data.frame like this:
id es mod1 mod2
1 .30 2 wai
2 .15 4 other
3 .20 1 itas
# If possible, I would also like the option of this (collapsing on id and
mod2):
id es mod1 mod2
1 .30 2 wai
2 0.1 4 other
2 0.2 4 calpas
3 0.1 1 itas
3 0.25 1 wai
Any help is much appreciated!
AC Del Re
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