qdap (version 1.3.5)

rm_row: Remove Rows That Contain Markers

Description

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).

Usage

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.

Value

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

Examples

#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)