anonym: Function to anonymize datasets so to create MWEs
In lf-araujo/sempsychiatry:
Description
Usage
Arguments
Details
Description
Is a function that easily anonymizes the dataset so to remove personal information identification. It is useful for the creation of minimal working examples allowing the researcher to to discuss the statistical findings with other colleagues without giving away sensitive information. Its advantage over the package anonimizer() is that it does a better job in keeping the variance and the relation between factors in the data.
Usage
1
Arguments
df
= dataframe
Details
Source: https://www.jaredknowles.com/journal/2013/5/27/writing-a-minimal-working-example-mwe-in-r
lf-araujo/sempsychiatry documentation built on May 21, 2019, 5:12 a.m.
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Description Usage Arguments Details
Description
Is a function that easily anonymizes the dataset so to remove personal information identification. It is useful for the creation of minimal working examples allowing the researcher to to discuss the statistical findings with other colleagues without giving away sensitive information. Its advantage over the package anonimizer() is that it does a better job in keeping the variance and the relation between factors in the data.
Usage
1 |
Arguments
df |
= dataframe |
Details
Source: https://www.jaredknowles.com/journal/2013/5/27/writing-a-minimal-working-example-mwe-in-r
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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