clean: clean
In chrisbrownlie/surveyr: A Package for Analysing Survey Responses
Description
Usage
Arguments
Value
See Also
Description
Clean and preprocess a single text column, remove punctuation and standardise
Usage
1
Arguments
data
dataframe or tibble with a row per survey response
column
name of a character column in the data frame to be cleaned
num
logical indicating whether numbers should be removed as part of cleaning process
null_response
logical indicating whether to remove non-answers (e.g. 'no', 'none', 'na' etc.)
Value
Original dataframe with text column cleaned and standardised ready for analysing
See Also
Other preprocess functions: clean_all,
clean_at
chrisbrownlie/surveyr documentation built on Dec. 1, 2019, 12:34 a.m.
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Description Usage Arguments Value See Also
Description
Clean and preprocess a single text column, remove punctuation and standardise
Usage
1 |
Arguments
data |
dataframe or tibble with a row per survey response |
column |
name of a character column in the data frame to be cleaned |
num |
logical indicating whether numbers should be removed as part of cleaning process |
null_response |
logical indicating whether to remove non-answers (e.g. 'no', 'none', 'na' etc.) |
Value
Original dataframe with text column cleaned and standardised ready for analysing
See Also
Other preprocess functions: clean_all,
clean_at
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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