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May 2, 2018 - Mike McMahon (mike.mcmahon@dfo-mpo.gc.ca)
This function takes a dataframe and removes any columns that are entirely populated with NAs
> head(data) MISSION SETNO LATITUDE LONGITUDE TOTNO GARBAGE 1 ATC1970176 10 91.00000 -60.88333 1642 NA 2 ATC1970176 13 44.81667 NA 1107 NA 3 ATC1970176 15 44.16667 -59.85000 41 NA 4 ATC1970176 17 44.33333 -60.51667 560 NA 5 ATC1970176 1 44.31667 -62.20000 947 NA 6 ATC1970176 23 43.41667 -60.56667 7 NA >data_clean = drop_NA_cols(data) > head(data_clean) MISSION SETNO LATITUDE LONGITUDE TOTNO 1 ATC1970176 10 91.00000 -60.88333 1642 2 ATC1970176 13 44.81667 NA 1107 3 ATC1970176 15 44.16667 -59.85000 41 4 ATC1970176 17 44.33333 -60.51667 560 5 ATC1970176 1 44.31667 -62.20000 947 6 ATC1970176 23 43.41667 -60.56667 7