rm_row function

Remove Rows That Contain Markers

rm_row - Remove rows from a data set that contain a given marker/term.

rm_empty_row - Removes the empty rows of a data set that are common in reading in data (default method in read.transcript).

rm_row(
  dataframe,
  search.column,
  terms,
  contains = FALSE,
  ignore.case = FALSE,
  keep.rownames = FALSE,
  ...
)

rm_empty_row(dataframe)

Arguments

• dataframe: A dataframe object.
• search.column: Column name to search for markers/terms.
• terms: Terms/markers of the rows that are to be removed from the dataframe. The term/marker must appear at the beginning of the string and is case sensitive.
• contains: logical. If TRUE rm_row searches for the terms anywhere within the string. If FALSE rm_row searches only the beginning of the string.
• ignore.case: logical. If TRUE case is ignored during matching, if FALSEthe pattern matching is case sensitive.
• keep.rownames: logical. If TRUE the original, non-sequential, rownames will be used.
• ``: Other arguments passed to grepl.

Returns

rm_row - returns a dataframe with the termed/markered rows removed.

rm_empty_row - returns a dataframe with empty rows removed.

Examples

## Not run:

#rm_row EXAMPLE:
rm_row(DATA, "person", c("sam", "greg"))
rm_row(DATA, 1, c("sam", "greg"))
rm_row(DATA, "state", c("Comp"))
rm_row(DATA, "state", c("I "))
rm_row(DATA, "state", c("you"), contains = TRUE, ignore.case=TRUE)

#rm_empty_row EXAMPLE:
(dat <- rbind.data.frame(DATA[, c(1, 4)], matrix(rep(" ", 4), 
   ncol =2, dimnames=list(12:13, colnames(DATA)[c(1, 4)]))))
rm_empty_row(dat)
## End(Not run)