rm_row. qdap 2.2.0

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.

Remove Rows That Contain Markers

Value

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

rm_empty_row - returns a dataframe with empty rows removed.

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).

Examples

## <strong>Not run</strong>: 
# #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)
# ## <strong>End(Not run)</strong>