Rank2Normality: Transform data matrix to normality based on rank
In btaschler/mcap: Model-Based Clustering in High Dimensions via Adaptive Projections
Description
Usage
Arguments
Value
See Also
Examples
Description
This function performs a rank to normality transformation of the columns
of an input matrix X.
Usage
1
Rank2Normality(xx)
Arguments
xx
The data matrix.
Value
tt Data matrix transformed to normality.
See Also
Examples
1
2
## 50x10 matrix with categorical (integer) entries:
Rank2Normality(xx = matrix(round(runif(500)*20), 50))
btaschler/mcap documentation built on May 26, 2019, 1:31 a.m.
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Description Usage Arguments Value See Also Examples
Description
This function performs a rank to normality transformation of the columns of an input matrix X.
Usage
1 | Rank2Normality(xx)
|
Arguments
xx |
The data matrix. |
Value
tt Data matrix transformed to normality.
See Also
Examples
1 2 | ## 50x10 matrix with categorical (integer) entries:
Rank2Normality(xx = matrix(round(runif(500)*20), 50))
|
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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