Hello All,
I have a dataframe of about 1.5 million rows from this dataframe I need to
filter out identifiers. An example would be 070000-07099, AD0000-AD0999, and
AL0000-AL9999, FN0000-FN9999. I am using grepl to identify those of interest
as follows:
grepl("^[FN]|[AD]{2}", Identifier)
The above seems to work in the case of FN and AD. However, there are 20 such identifiers
and there must be a better way to do this than a long "or" statement.
Ultimately, I would like to filter these out using dplyr which I think the first step is
to create a vector of TRUE/FALSE then filter on TRUE
Any Ideas are appreciated,
Glenn
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