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The function takes the dirty data frame obtained from reading the FLUOstar DAT file, applies an original algorithm that inserts NAs in place of the special characters, and then applies a function called comma_cleaner() to the dirty data frame for the removal of commas, and finally, rows with NAs only are removed.

Usage

clean_odddat_optimus(df)

Arguments

df

A dirty data frame obtained from the FLUOstar DAT file.

Value

A clean data frame with clean NA values retained.

Author

Tingwei Adeck

Examples

fpath <- system.file("extdata", "dat_1.dat", package = "normfluodbf", mustWork = TRUE)
dat_df <- read.table(file=fpath)
partial_cleaned_dat <- clean_odddat_optimus(dat_df)