Merge has an option 'all', when set to 'TRUE' merge will return a
data.frame of every row in both data.frames. You can also specify all.x,
and all.y.
I do not suggest taking this path. Rather, standardize time columns for
all 15 data.frames with as.POSIXct()/as.POSIXlt() depending on the input
tim
You at least need to provide a subset of what the data looks likes.
Since you are merging on 'time', if there are not the same times in
each set, then you will have missing values. For example, in the
merges that you are doing, have you looked at the size of the
resulting object compared to the tw
Hi,
I'm trying to combine 15 different data frames but all have time field as
common. But the thing is time intervals are different (like min's and
sec's).
So I have to check the common time from all the 15 data frames and merge it
to a single data frame and then export it to excel or csv.
I
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