corrupt_mat_randomly: Corrupts a data matrix by knocking out a random specified...
In Columbia-PRIME/PCPhelpers: Provides a bunch of functions to help with PCP experimentation.
View source: R/corrupt_mat_randomly.R
corrupt_mat_randomly R Documentation
Corrupts a data matrix by knocking out a random specified percentage of entries.
Description
corrupt_mat_randomly corrupts a given data matrix by knocking out a random
specified percentage of entries as NA missing values.
Usage
corrupt_mat_randomly(mat, k, perc_b)
Arguments
mat
The data matrix to be corrupted.
k
The random seed to use.
perc_b
The percentage of the entries in the data matrix to be corrupted.
Value
A list containing the corrupted matrix (named cor.mat), along with a binary matrix (named cor.mask) where 1's identify entries that were corrupted, and 0
identify entries that were left untouched.
See Also
corrupt_mat
Examples
mat <- matrix(rnorm(25), 5, 5)
corrupted_mat <- corrupt_mat_randomly(mat, k = 1, perc_b = .2)
Columbia-PRIME/PCPhelpers documentation built on April 24, 2022, 7:57 p.m.
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View source: R/corrupt_mat_randomly.R
| corrupt_mat_randomly | R Documentation |
Corrupts a data matrix by knocking out a random specified percentage of entries.
Description
corrupt_mat_randomly corrupts a given data matrix by knocking out a random
specified percentage of entries as NA missing values.
Usage
corrupt_mat_randomly(mat, k, perc_b)
Arguments
mat |
The data matrix to be corrupted. |
k |
The random seed to use. |
perc_b |
The percentage of the entries in the data matrix to be corrupted. |
Value
A list containing the corrupted matrix (named cor.mat), along with a binary matrix (named cor.mask) where 1's identify entries that were corrupted, and 0
identify entries that were left untouched.
See Also
corrupt_mat
Examples
mat <- matrix(rnorm(25), 5, 5) corrupted_mat <- corrupt_mat_randomly(mat, k = 1, perc_b = .2)
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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