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# Frequently Asked Questions

## Q. How do I wrap my model?

See this guide on wrapping models.

## Q. Which technique can I use for pre-existing results?

DMIM, RBD-FAST, PAWN and HDMR methods are “given-data” approaches and can be independently applied.

## Q. How do I get the sensitivity results?

Call the `.to_df()` method if you would like Pandas DataFrames.

If using the SALib Interface, see SALib Interface Basics.

## Q. How can I plot my results?

SALib provides some basic plotting functionality. See the subsection “Basic Plotting” in SALib Interface Basics

See also, these examples.

## Q. Why does the Sobol’ method implemented in SALib normalize outputs?

Estimates of Sobol’ indices can be biased in cases where model outputs are non-centered. We have opted to normalize outputs with the standard deviation.

See the discussion here.

In practice, non-normalized model outputs are still usable but requires larger sample sizes for the indices to converge.