R: Fast and Easy Data Cleaning

# Fast and Easy Data Cleaning

## Documentation for package ‘cleaner’ version 1.5.5

- DESCRIPTION file
- Package NEWS
- Package README

## 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