apply_ln_transformation: Applies the natural logarithm to the data set
In roqua/autovarCore: Automated Vector Autoregression Models and Networks
Description
Usage
Arguments
Value
Examples
View source: R/apply_ln_transformation.r
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)
roqua/autovarCore documentation built on Oct. 12, 2020, 4:16 a.m.
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Description Usage Arguments Value Examples
View source: R/apply_ln_transformation.r
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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