bracketX, replace_number,
replace_symbol, replace_abbreviation
and scrubber to quickly prepare text for analysis. Care
should be taken with this function to ensure data is properly formatted and
complete.qprep(text.var, rm.dash = TRUE, bracket = "all", missing = NULL,
names = FALSE, abbreviation = qdapDictionaries::abbreviations,
replace = NULL, ignore.case = TRUE, num.paste = TRUE, ...)TRUE dashes will be removed."curly", "square", "round",
"angle" and "all". These strings correspond to: {, [, (, <
or all four types. ATRUE the sentences are given as the names of
the counts.NULL which
turns off this parsing technique.TRUE replaces without regard to
capitalization.TURE a the elements of larger numbers are
separated with spaces. If FALSE the elements will be joined without
spaces. Also takes the argument NULL which turns off this parsing
technique.replace_symbol.bracketX,
replace_abbreviation,
replace_number,
replace_symbolx <- "I like 60 (laughter) #d-bot and $6 @ the store w/o 8p.m."
qprep(x)Run the code above in your browser using DataLab