I have created a merged data frame and in turn merged that with another
dataframe. I could see how it could become a pain if you had lots of
dataframes. I would try running a for loop...but have never done it.
"joseph" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> Hi
> merge() t
The zoo package has a multi-way merge that works with zoo series
There is an example in this thread in which non-zoo data are converted
to zoo and merged:
https://stat.ethz.ch/pipermail/r-help/2008-January/151541.html
library(zoo)
?merge.zoo
Also zoo has 3 vignettes you could look at.
On Feb
Try this:
data1 <- data.frame(Id=LETTERS[1:5], Value=sample(5))
data2 <- data.frame(Id=data1$Value, Value=c(10,20,30,40,50))
data3 <- data.frame(Id=data2$Value, Value=rnorm(5))
merge(merge(data1, data2, by.x="Value", by.y="Id"), data3,
by.x="Value.1", by.y="Id")
On 12/02/2008, joseph <[EMAIL P
Hi
merge() takes only 2 data frames. What can you do to it to make take more than
two data frames? or is there another function that does that?
Thanks
joseph
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