reproduce_tpca_example: Reproduces the figures in Section 2
In NeymanPearsonFan1/tpca: A function for tailoring PCA to change detection
Description
This function does the following:
1) Runs the tpca-algorithm on the randomly drawn correlation
matrix with 10^4 change simulations.
(Call get_example_cor_mat() to get the correlation matrix.)
2) Creates ggplot objects for the sensitivity results and arranges them.
3) Saves two files to your current directory: ex_hellinger-d20.png and
ex_hellinger_prop-d20.png.
Usage
1
NeymanPearsonFan1/tpca documentation built on June 6, 2019, 7:40 a.m.
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Description
This function does the following:
1) Runs the tpca-algorithm on the randomly drawn correlation
matrix with 10^4 change simulations.
(Call get_example_cor_mat() to get the correlation matrix.)
2) Creates ggplot objects for the sensitivity results and arranges them.
3) Saves two files to your current directory: ex_hellinger-d20.png and
ex_hellinger_prop-d20.png.
Usage
1 |
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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