Fast and Easy Data Cleaning


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Documentation for package ‘cleaner’ version 1.5.3

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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