Fast and Easy Data Cleaning

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Documentation for package ‘cleaner’ version 1.5.5

• DESCRIPTION file.
• Package NEWS.

Help Pages

as.currency	Transform to currency
as.percentage	Transform to percentage
clean	Clean column data to a class
clean.data.frame	Clean column data to a class
clean_character	Clean column data to a class
clean_currency	Clean column data to a class
clean_Date	Clean column data to a class
clean_double	Clean column data to a class
clean_factor	Clean column data to a class
clean_integer	Clean column data to a class
clean_logical	Clean column data to a class
clean_numeric	Clean column data to a class
clean_percentage	Clean column data to a class
clean_POSIXct	Clean column data to a class
currency	Transform to currency
format.currency	Transform to currency
format.percentage	Transform to percentage
format_datetime	Readable date format to POSIX
format_names	Format names and values
format_p_value	Format p values (APA guideline)
freq	Frequency table
freq.Date	Frequency table
freq.default	Frequency table
freq.factor	Frequency table
freq.hms	Frequency table
freq.matrix	Frequency table
freq.numeric	Frequency table
freq.table	Frequency table
header	Frequency table
is.currency	Transform to currency
is.freq	Frequency table
is.percentage	Transform to percentage
na_replace	Replace NA values
na_replace.data.frame	Replace NA values
na_replace.Date	Replace NA values
na_replace.default	Replace NA values
na_replace.list	Replace NA values
na_replace.logical	Replace NA values
na_replace.matrix	Replace NA values
na_replace.numeric	Replace NA values
percentage	Transform to percentage
print.currency	Transform to currency
print.freq	Frequency table
print.percentage	Transform to percentage
rdate	Generate random dates
regex_false	Regular expressions for 'TRUE' and 'FALSE'
regex_true	Regular expressions for 'TRUE' and 'FALSE'
regex_true_false	Regular expressions for 'TRUE' and 'FALSE'
top_freq	Frequency table
unclean	Example data that is not clean