conceal_all: Conceal all values in a dataframe by replacing them with...
In eteppo/tvs-project: The Bloodomics of Atherosclerosis in the Tampere Vascular Study
Description
Usage
Arguments
Value
Description
For concealing raw data that shouldn't be shown as it is. Re-use not recommended yet.
This is a quick hack that works properly only on certain types of data.
In non-id variables, the function preserves only the variable names, range of continuous variables,
unique values of discrete variables, and number of rows. Identifiers that are specified
in the argument 'id' are replaced with random codes. The same id gets the same code so
that dependent observations (e.g. time series of people) don't falsely turn into independent
observations for a larger population of people.
Usage
1
conceal_all(dataset, id)
Arguments
dataset
A dataframe to be concealed.
id
A character vector of names of the identifier variables.
Value
A dataframe with the same basic structure (rows, columns, unique values, minimums, maximums) but completely randomized to conceal sensitive data.
eteppo/tvs-project documentation built on Aug. 13, 2019, 8:53 a.m.
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Description Usage Arguments Value
Description
For concealing raw data that shouldn't be shown as it is. Re-use not recommended yet. This is a quick hack that works properly only on certain types of data. In non-id variables, the function preserves only the variable names, range of continuous variables, unique values of discrete variables, and number of rows. Identifiers that are specified in the argument 'id' are replaced with random codes. The same id gets the same code so that dependent observations (e.g. time series of people) don't falsely turn into independent observations for a larger population of people.
Usage
1 | conceal_all(dataset, id)
|
Arguments
dataset |
A dataframe to be concealed. |
id |
A character vector of names of the identifier variables. |
Value
A dataframe with the same basic structure (rows, columns, unique values, minimums, maximums) but completely randomized to conceal sensitive data.
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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