rm_row: Remove Rows That Contain Markers

In trinker/qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

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

## 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)

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.