apply_ln_transformation: Applies the natural logarithm to the data set
In autovarCore: Automated Vector Autoregression Models and Networks
Description
Usage
Arguments
Value
Examples
Description
This applies the ln function columnwise to the given input matrix and returns the modified matrix. If necessary, columns undergo a linear translation to ensure that all resulting values are >= 0.
Usage
1
apply_ln_transformation(data_matrix)
Arguments
data_matrix
The original data matrix.
Value
The log-transformed data matrix.
Examples
1
2
3
data_matrix <- matrix(1:10, dimnames = list(NULL, 'some_val'))
data_matrix
autovarCore:::apply_ln_transformation(data_matrix)
autovarCore documentation built on May 2, 2019, 4:01 a.m.
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Description Usage Arguments Value Examples
Description
This applies the ln function columnwise to the given input matrix and returns the modified matrix. If necessary, columns undergo a linear translation to ensure that all resulting values are >= 0.
Usage
1 | apply_ln_transformation(data_matrix)
|
Arguments
data_matrix |
The original data matrix. |
Value
The log-transformed data matrix.
Examples
1 2 3 | data_matrix <- matrix(1:10, dimnames = list(NULL, 'some_val'))
data_matrix
autovarCore:::apply_ln_transformation(data_matrix)
|
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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