Dear all,
I'm stuck in a seemingly trivial task that I need to perform for many
datasets. Basically, I want to replace NA with 0 in a specified range of
columns in a dataframe. I know the first and last column to be recoded
only by its name.
I can select the columns starting like this
a[match('first',names(a)): match('last',names(a))]
The question is how can replace all NA with 0 in this subset of the data?
Thanks and greetings,
Michael
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