Gaussian Transformations toolbar
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Icon |
Tooltip |
Description |
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Normal Score |
Allows you to transform data from any distribution so that the transformed values follow a standard (normal) Gaussian distribution. Refer to the Block > Gaussian Transformations > Normal Score option for more information. |
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BM Normal Score |
Allows you to transform block model data from any distribution so that the transformed values follow a standard (normal) Gaussian distribution. Unlike the Normal Score button, the transformation is performed using a nominated block model Refer to the Block > Gaussian Transformations > BM Normal Score option for more information. |
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Stepwise Gaussian |
Allows you to transform two or three database variables such that the bivariate (or trivariate) and marginal distributions of the transformed variables are all standard Gaussian. Refer to the Block > Gaussian Transformations > Stepwise Gaussian option for more information. |
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BM Stepwise Gaussian |
Allows you to transform two or three block model variables such that the bivariate (or trivariate) and marginal distributions of the transformed variables are all standard Gaussian. Refer to the Block > Gaussian Transformations > BM Stepwise Gaussian option for more information. |
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Run NS |
Allows you to perform a normal score transformation using the parameters defined in an existing Normal Score specification file ( Refer to the Block > Gaussian Transformations > Run Normal Score option for more information. |
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Run BM NS |
Allows you to perform a block model normal score transformation using the parameters defined in an existing Block Normal Score specification file ( Refer to the Block > Gaussian Transformations > Run BM Normal Score option for more information. |
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Run SG |
Allows you to perform a stepwise Gaussian transformation using the parameters defined in an existing Stepwise Gaussian specification file ( Refer to the Block > Gaussian Transformations > Run Stepwise Gaussian option for more information. |
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Run BM SG |
Allows you to perform a block model stepwise Gaussian core transformation using the parameters defined in an existing Block Model Stepwise Gaussian specification file ( Refer to the Block > Gaussian Transformations > Run BM Stepwise Gaussian option for more information. |
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NS Back |
Allows you to use an existing Normal Scores transformation lookup table and transform the block model values that are in Gaussian units back to the original grade units. Refer to the Block > Gaussian Transformations > Normal Score Back option for more information. |
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SG Back |
Allows you to use an existing Stepwise Gaussian transformation lookup table and transform the block model values back to grade Gaussian models. Refer to the Block > Gaussian Transformations > Stepwise Gaussian option for more information. |
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Run NS Back |
Allows you to perform a normal score back transformation using the parameters defined in an existing Normal Score Back specification file ( Refer to the Block > Gaussian Transformations > Run NS Back option for more information. |
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Run SG Back |
Allows you to perform a stepwise Gaussian transformation using the parameters defined in an existing Stepwise Gaussian Back specification file ( Refer to the Block > Gaussian Transformations > Run SG Back option for more information. |
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Remove NS |
Allows you to delete a transformation definition from an existing specification file. Refer to the Block > Gaussian Transformations > Remove Normal Score Definition option for more information. |
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Remove NS Back |
Allows you to delete a transformation definition from an existing specification file. Refer to the Block > Gaussian Transformations > Remove NS Back Definition option for more information. |
