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This is a planned extension of dataMaid. Feel free to add suggestions or comments.
Together with the three existing dataMaid data screening steps (summarize, visualize and check), we will add a new step: compare. The current data screening steps only look at variables one by one and therefore, it is not possible to accommodate row-wise comparisons/checks. This will be possible to do in the "compare step". Here, the user can specify comparisons, e.g. linear restraints (variableA > variableB).
We are considering the following:
Support specifying comparisons with rules from the validate package.
Allow users to specify comparisons class-wise. E.g. for all factor variables, check that they are not identical to variable a.
Allow users to specify comparisons for specific variables only. This would be very flexible, but less straight forward to make user-friendly.
No default comparisons should be included, but a few different comparison functions should be implemented and readily available.
Issues that are related to this extension and will be solvable afters its implementation:
This is a planned extension of dataMaid. Feel free to add suggestions or comments.
Together with the three existing dataMaid data screening steps (summarize, visualize and check), we will add a new step: compare. The current data screening steps only look at variables one by one and therefore, it is not possible to accommodate row-wise comparisons/checks. This will be possible to do in the "compare step". Here, the user can specify comparisons, e.g. linear restraints (
variableA > variableB
).We are considering the following:
validate
package.a
.Issues that are related to this extension and will be solvable afters its implementation:
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